This document summarizes techniques for malware analysis and mitigation. It discusses both static and dynamic analysis methods. For static analysis, it describes reverse engineering techniques like disassembly and control flow graph analysis. It also discusses how attackers use obfuscation and polymorphism to evade static analysis. For dynamic analysis, it discusses algorithmic unpacking and behavior-based analysis using system call monitoring. The document recommends using both signature-based and behavior-based detection methods to comprehensively analyze malware.
Appsec2013 assurance tagging-robert martindrewz lin
The document discusses engineering software systems to be more secure against attacks. It notes that reducing a system's attack surface alone is not enough, as software and networks are too complex and it is impossible to know all vulnerabilities. It then discusses characteristics of advanced persistent threats, including that the initial attack may go unnoticed and adversaries cannot be fully kept out. Finally, it argues that taking a threat-driven perspective beyond just operational defense can help balance mitigation with detection and response.
A Smart Fuzzing Approach for Integer Overflow DetectionITIIIndustries
Fuzzing is one of the most commonly used methods to detect software vulnerabilities, a major cause of information security incidents. Although it has advantages of simple design and low error report, its efficiency is usually poor. In this paper we present a smart fuzzing approach for integer overflow detection and a tool, SwordFuzzer, which implements this approach. Unlike standard fuzzing techniques, which randomly change parts of the input file with no information about the underlying syntactic structure of the file, SwordFuzzer uses online dynamic taint analysis to identify which bytes in the input file are used in security sensitive operations and then focuses on mutating such bytes. Thus, the generated inputs are more likely to trigger potential vulnerabilities. We evaluated SwordFuzzer with an example program and a number of real-world applications. The experimental results show that SwordFuzzer can accurately locate the key bytes of the input file and dramatically improve the effectiveness of fuzzing in detecting real-world vulnerabilities
Intrusion detection architecture for different network attackseSAT Journals
Abstract Now these days most of the work is carried out by internet. So web application becomes important part of today’s life, such as online banking, social networking, online shopping, enabling communication and management of personal information. So web services now have shifted to multi-tier design to accommodate this increase in web application and data complexity. Due to this high use of web application networks attacks increased with malicious purpose. DoubleGuard is an Intrusion Detection System helps to detect and prevent the networks attacks. DoubleGuard is able to find out attacks after checking web and database requests. Along with this, in this paper adding one more level that is admin, it is responsible for the training to the system, log generation, blacklist and employee entry. This IDS system provides security to prevent both the web server and database server. Key Words: DoubleGuard; Web Application; Multitier; IDS; Attacks.
website vulnerability scanner and reporter research paperBhagyashri Chalakh
This document discusses developing a website analysis tool to improve vulnerability scanning and reporting. It proposes using deep neural networks to enhance the accuracy of vulnerability scanners. It first reviews existing vulnerability scanners like Nessus, Acunetix, and OWASP ZAP and their capabilities. It then discusses how vulnerability scanners use techniques like crawling, fuzzing, and machine learning algorithms to detect vulnerabilities. The proposed tool aims to reduce false positives, allow simultaneous scans, and provide clear reports with countermeasure recommendations to better secure websites.
IRJET - Heuristic Approach to Intrusion Detection SystemIRJET Journal
1. The document proposes a hybrid intrusion detection system called SPARTAN that combines signature-based and anomaly-based detection to improve detection rates and reduce false positives/negatives.
2. It analyzes the limitations of signature-based and anomaly-based detection alone and argues their combination can leverage the benefits of both.
3. SPARTAN's framework includes a signature detection engine, anomaly detection engine, and signature generation engine that work together to detect known attacks, identify anomalies, and automatically update signatures without much administrator intervention.
AN IMPROVED METHOD TO DETECT INTRUSION USING MACHINE LEARNING ALGORITHMSieijjournal
An intrusion detection system detects various malicious behaviors and abnormal activities that might harm
security and trust of computer system. IDS operate either on host or network level via utilizing anomaly
detection or misuse detection. Main problem is to correctly detect intruder attack against computer
network. The key point of successful detection of intrusion is choice of proper features. To resolve the
problems of IDS scheme this research work propose “an improved method to detect intrusion using
machine learning algorithms”. In our paper we use KDDCUP 99 dataset to analyze efficiency of intrusion
detection with different machine learning algorithms like Bayes, NaiveBayes, J48, J48Graft and Random
forest. To identify network based IDS with KDDCUP 99 dataset, experimental results shows that the three
algorithms J48, J48Graft and Random forest gives much better results than other machine learning
algorithms. We use WEKA to check the accuracy of classified dataset via our proposed method. We have
considered all the parameter for computation of result i.e. precision, recall, F – measure and ROC.
The document is a penetration testing report that was conducted on <Company>'s systems and networks. It found several security vulnerabilities including: insufficient authentication that allowed login with any username and password, improper input filtration that enabled SQL injection and cross-site scripting attacks, and administrator login and username enumeration. The report provides tactical recommendations to address the immediate issues like filtering user input and strategic recommendations around access controls and security best practices.
Secure intrusion detection and countermeasure selection in virtual system usi...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Appsec2013 assurance tagging-robert martindrewz lin
The document discusses engineering software systems to be more secure against attacks. It notes that reducing a system's attack surface alone is not enough, as software and networks are too complex and it is impossible to know all vulnerabilities. It then discusses characteristics of advanced persistent threats, including that the initial attack may go unnoticed and adversaries cannot be fully kept out. Finally, it argues that taking a threat-driven perspective beyond just operational defense can help balance mitigation with detection and response.
A Smart Fuzzing Approach for Integer Overflow DetectionITIIIndustries
Fuzzing is one of the most commonly used methods to detect software vulnerabilities, a major cause of information security incidents. Although it has advantages of simple design and low error report, its efficiency is usually poor. In this paper we present a smart fuzzing approach for integer overflow detection and a tool, SwordFuzzer, which implements this approach. Unlike standard fuzzing techniques, which randomly change parts of the input file with no information about the underlying syntactic structure of the file, SwordFuzzer uses online dynamic taint analysis to identify which bytes in the input file are used in security sensitive operations and then focuses on mutating such bytes. Thus, the generated inputs are more likely to trigger potential vulnerabilities. We evaluated SwordFuzzer with an example program and a number of real-world applications. The experimental results show that SwordFuzzer can accurately locate the key bytes of the input file and dramatically improve the effectiveness of fuzzing in detecting real-world vulnerabilities
Intrusion detection architecture for different network attackseSAT Journals
Abstract Now these days most of the work is carried out by internet. So web application becomes important part of today’s life, such as online banking, social networking, online shopping, enabling communication and management of personal information. So web services now have shifted to multi-tier design to accommodate this increase in web application and data complexity. Due to this high use of web application networks attacks increased with malicious purpose. DoubleGuard is an Intrusion Detection System helps to detect and prevent the networks attacks. DoubleGuard is able to find out attacks after checking web and database requests. Along with this, in this paper adding one more level that is admin, it is responsible for the training to the system, log generation, blacklist and employee entry. This IDS system provides security to prevent both the web server and database server. Key Words: DoubleGuard; Web Application; Multitier; IDS; Attacks.
website vulnerability scanner and reporter research paperBhagyashri Chalakh
This document discusses developing a website analysis tool to improve vulnerability scanning and reporting. It proposes using deep neural networks to enhance the accuracy of vulnerability scanners. It first reviews existing vulnerability scanners like Nessus, Acunetix, and OWASP ZAP and their capabilities. It then discusses how vulnerability scanners use techniques like crawling, fuzzing, and machine learning algorithms to detect vulnerabilities. The proposed tool aims to reduce false positives, allow simultaneous scans, and provide clear reports with countermeasure recommendations to better secure websites.
IRJET - Heuristic Approach to Intrusion Detection SystemIRJET Journal
1. The document proposes a hybrid intrusion detection system called SPARTAN that combines signature-based and anomaly-based detection to improve detection rates and reduce false positives/negatives.
2. It analyzes the limitations of signature-based and anomaly-based detection alone and argues their combination can leverage the benefits of both.
3. SPARTAN's framework includes a signature detection engine, anomaly detection engine, and signature generation engine that work together to detect known attacks, identify anomalies, and automatically update signatures without much administrator intervention.
AN IMPROVED METHOD TO DETECT INTRUSION USING MACHINE LEARNING ALGORITHMSieijjournal
An intrusion detection system detects various malicious behaviors and abnormal activities that might harm
security and trust of computer system. IDS operate either on host or network level via utilizing anomaly
detection or misuse detection. Main problem is to correctly detect intruder attack against computer
network. The key point of successful detection of intrusion is choice of proper features. To resolve the
problems of IDS scheme this research work propose “an improved method to detect intrusion using
machine learning algorithms”. In our paper we use KDDCUP 99 dataset to analyze efficiency of intrusion
detection with different machine learning algorithms like Bayes, NaiveBayes, J48, J48Graft and Random
forest. To identify network based IDS with KDDCUP 99 dataset, experimental results shows that the three
algorithms J48, J48Graft and Random forest gives much better results than other machine learning
algorithms. We use WEKA to check the accuracy of classified dataset via our proposed method. We have
considered all the parameter for computation of result i.e. precision, recall, F – measure and ROC.
The document is a penetration testing report that was conducted on <Company>'s systems and networks. It found several security vulnerabilities including: insufficient authentication that allowed login with any username and password, improper input filtration that enabled SQL injection and cross-site scripting attacks, and administrator login and username enumeration. The report provides tactical recommendations to address the immediate issues like filtering user input and strategic recommendations around access controls and security best practices.
Secure intrusion detection and countermeasure selection in virtual system usi...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Cross Site Scripting Attacks and Preventive MeasuresIRJET Journal
This document summarizes cross-site scripting (XSS) attacks and preventive measures. It discusses that XSS attacks allow attackers to inject malicious scripts into web pages through inputs like search fields or comment boxes. There are three main types of XSS attacks: non-persistent reflect XSS through query parameters, persistent stored XSS by storing scripts on servers, and DOM-based XSS using document object model functions. Input validation and code filtering are effective preventive measures. The document also proposes a script filtering algorithm to sanitize inputs and prevent execution of malicious scripts.
IRJET- Penetration Testing using Metasploit Framework: An Ethical ApproachIRJET Journal
This document discusses penetration testing using the Metasploit framework. It begins with an introduction to penetration testing and why it is important for ensuring system and network security. It then describes the phases of penetration testing: information gathering, vulnerability analysis, vulnerability exploitation, post exploitation, and report generation. Finally, it discusses using tools in the Metasploit framework like exploits and payloads to conduct penetration testing according to these phases and ethical approaches. The goal is to identify vulnerabilities before attackers can exploit them.
This document discusses the development of a cross-platform penetration testing suite that compiles standard penetration testing tools into a single mobile application. The suite aims to provide easy access to penetration testing tools on any Android device, improving portability for ethical hackers. It does not require root access of the user's phone. The suite is designed to perform tasks like port scanning, vulnerability scanning, payload generation, and more. It consolidates typical tools used for information gathering, vulnerability assessment, exploitation, and covering tracks into a single interface. This allows ethical hackers to conduct basic penetration tests using only their mobile device.
This document provides a penetration testing and deep code analysis report for EXAMPLE CLIENT. The report summarizes the testing methodology, timeline, and key findings. Testing identified 9 vulnerabilities across the EXAMPLE CLIENT website, including session hijacking, SQL injection, unhandled exceptions, and information disclosures. Risks were assigned as 2 high, 3 medium, and 4 low. The report provides technical details on each vulnerability found and recommendations to enhance the security of the website.
Vulnerability Analysis of 802.11 Authentications and Encryption Protocols: CV...AM Publications
This paper analysis vulnerability of known attacks on WLAN cipher suite, authentication mechanisms and credentials using common vulnerability scoring system (CVSS).
This document provides a vulnerability assessment report for a network called the Grey Network. It analyzes vulnerabilities found on 3 machines with IP addresses 172.31.106.13, 172.31.106.90, and 172.31.106.196. The report found critical vulnerabilities on all machines from outdated operating systems and software. Specific issues included an unencrypted Telnet server, outdated Apache and OpenSSL versions, and Windows XP past its end of life. Scanning tools like Nmap, Nikto, and Nessus were used to detect these vulnerabilities. The report recommends patching all systems, updating to current versions, and disabling insecure services.
ONTOLOGY-BASED MODEL FOR SECURITY ASSESSMENT: PREDICTING CYBERATTACKS THROUGH...IJNSA Journal
The prediction of attacks is essential for the prevention of potential risk. Therefore, risk forecasting contributes a lot to the optimization of the information security budget. This article focuses on the ontology and stages of a cyberattack. It introduces the main representatives of the attacking side and describes their motivation.
Intrusion Detection System - False Positive Alert Reduction TechniqueIDES Editor
Intrusion Detection System (IDS) is the most
powerful system that can handle the intrusions of the computer
environments by triggering alerts to make the analysts take
actions to stop this intrusion, but the IDS is triggering alerts
for any suspicious activity which means thousand alerts that
the analysts should take care of it. IDS generate a large
number of alerts and most of them are false positive as the
behavior construe for partial attack pattern or lack of
environment knowledge. These Alerts has different severities
and most of them don’t require big attention because of the
huge number of the false alerts among them. Monitoring and
identifying risky alerts is a major concern to security
administrator. Deleting the false alerts or reducing the
amount of the alerts (false alerts or real alerts) from the
entire amount alerts lead the researchers to design an
operational model for minimization of false positive alarms,
including recurring alarms by security administrator. In this
paper we are proposing a method, which can reduce such kind
of false positive alarms.
هک پایگاه داده و راهکارهای مقابلهDatabases hacking, safeguards and counterme...M Mehdi Ahmadian
This document discusses database hacking, safeguards, and countermeasures. It begins with an introduction and overview on how databases are commonly hacked. Next, it examines specific SQL server malware like Cblade, Spida, and Slammer worms that have exploited vulnerabilities in Microsoft SQL Server. It then discusses the concept of Oracle rootkits that can hide malicious activities within an Oracle database. The document concludes with recommendations for database security practices and references materials used.
Current Studies On Intrusion Detection System, Genetic Algorithm And Fuzzy Logicijdpsjournal
This document summarizes a research paper on current studies of intrusion detection systems using genetic algorithms and fuzzy logic. The paper presents an overview of intrusion detection systems, including different techniques like misuse detection and anomaly detection. It discusses using genetic algorithms to generate fuzzy rules to characterize normal and abnormal network behavior in order to reduce false alarms. The paper also outlines the dataset, genetic algorithm approach, and use of fuzzy logic that are proposed for the intrusion detection system.
IRJET- Web Application Firewall: Artificial Intelligence ARCIRJET Journal
This document proposes developing a web application firewall using artificial intelligence to recognize attacks. It discusses using an AI architecture engine that integrates with OWASP and builds its own knowledge base to identify attack patterns. The firewall would contain modules for threat detection and mitigation. Packets would be analyzed based on predefined databases and behavioral patterns to detect attacks while reducing false positives. The system aims to provide an advanced layer of protection by learning from transaction experiences.
Routine Detection Of Web Application Defence FlawsIJTET Journal
Abstract— The detection process for security vulnerabilities in ASP.NET websites / web applications is a complex one, most of the code is written by somebody else and there is no documentation to determine the purpose of source code. The characteristic of source code defects generates major web application vulnerabilities. The typical software faults that are behind of web application vulnerabilities, taking into different programming languages. To analyze their ability to prevent security vulnerabilities ASP.NET which is part of .NET framework that separate the HTML code from the programming code in two files, aspx file and another for the programming code. It depends on the compiled language (Visual Basic VB, C sharp C#, Java Script). Visual Basic and C# are the most common languages using with ASP.NET files, and these two compiled languages are in the construction of our proposed algorithm in addition to aspx files. The hacker can inject his malicious as a input or script that can destroy the database or steal website files. By using scanning tool the fault detection process can be done. The scanning process inspects three types of files (aspx, VB and C#). then the software faults are identified. By using fault recovery process the prepared replacement statement technique is used to detect the vulnerabilities and recover it with high efficiency and it provides suggestion then the report is generated then it will help to improve the overall security of the system.
Basic survey on malware analysis, tools and techniquesijcsa
The term malware stands for malicious software. It is a program installed on a system without the
knowledge of owner of the system. It is basically installed by the third party with the intention to steal some
private data from the system or simply just to play pranks. This in turn threatens the computer’s security,
wherein computer are used by one’s in day-to-day life as to deal with various necessities like education,
communication, hospitals, banking, entertainment etc. Different traditional techniques are used to detect
and defend these malwares like Antivirus Scanner (AVS), firewalls, etc. But today malware writers are one
step forward towards then Malware detectors. Day-by-day they write new malwares, which become a great
challenge for malware detectors. This paper focuses on basis study of malwares and various detection
techniques which can be used to detect malwares.
How do hackers automate? What do they automate? And most importantly: How can security teams block automated attacks? The latest Hacker Intelligence Initiative from Imperva's Application Defense Center will help you answer these questions and many more.
Vulnerability Assessment and Penetration Testing Report Rishabh Upadhyay
This document is Rishabh Upadhyay's bachelor's project on ethical hacking and penetration testing. It includes an acknowledgements section thanking those who provided guidance. The project aims to penetration test the local area network of the University of Allahabad, map the network, identify important hosts and services, and demonstrate some attacks. It also includes developing a simple network scanner program. The document is divided into multiple parts covering introductions to topics like hackers vs ethical hackers and penetration testing methodology, as well as a vulnerability assessment report from testing the university's network.
The document analyzes the 2011 hack of RSA Security and subsequent breach of Lockheed Martin's network. It describes how hackers were able to gain access to RSA through a phishing email containing a zero-day Flash exploit. This allowed them to steal RSA's SecurID token secrets and user data. Months later, the same hackers were able to access Lockheed Martin's network using stolen SecurID credentials. The document outlines the attack methods used at each company and lessons learned, including Lockheed Martin's implementation of an internal cyber defense system called the Cyber Kill Chain to prevent future data exfiltration.
A FRAMEWORK FOR ANALYSIS AND COMPARISON OF DYNAMIC MALWARE ANALYSIS TOOLSIJNSA Journal
Malware writers have employed various obfuscation and polymorphism techniques to thwart static analysis
approaches and bypassing antivirus tools. Dynamic analysis techniques, however, have essentially
overcome these deceits by observing the actual behaviour of the code execution. In this regard, various
methods, techniques and tools have been proposed. However, because of the diverse concepts and
strategies used in the implementation of these methods and tools, security researchers and malware
analysts find it difficult to select the required optimum tool to investigate the behaviour of a malware and to
contain the associated risk for their study. Focusing on two dynamic analysis techniques: Function Call
monitoring and Information Flow Tracking, this paper presents a comparison framework for dynamic
malware analysis tools. The framework will assist the researchers and analysts to recognize the tool’s
implementation strategy, analysis approach, system-wide analysis support and its overall handling of
binaries, helping them to select a suitable and effective one for their study and analysis.
This document discusses a tool called ALTERDROID that analyzes Android applications to detect malware. ALTERDROID uses static and dynamic analysis techniques to detect obfuscated malware hidden in applications. It analyzes applications that are installed on a device to identify any malicious components. If malware is found, it asks the user for permission to uninstall the application. For unauthorized users attempting to access the device, it captures their image and sends it by email. The document compares this approach to existing static-only malware analysis techniques, which can miss hidden malicious components.
Behavior Analysis Of Malicious Web Pages Through Client Honeypot For Detectio...IJERA Editor
Malwares which is also known as malicious software’s is spreading through the exploiting the client side applications such as browsers, plug-ins etc. Attackers implant the malware codes in the user’s computer through web pages; thereby they are also known malicious web pages. Here in the paper, we present the usefulness of controlled environment in the form of client honeypots in detection of malicious web pages through collections of malicious intent in web pages and then perform detailed analysis for validation and confirmation of malicious web pages. First phase is collection of malicious infections through high interaction client honeypot, second phase is validations of the malicious infections embedded into web pages through behavior based analysis. Malwares which infect the client side applications and drop the malwares into user’s computers sometimes overrides the signature based detection techniques; thereby there is a need to study the behavior of the complete malicious web pages.
Vulnerability scanners a proactive approach to assess web application securityijcsa
With the increasing concern for security in the network, many approaches are laid out that try to protect
the network from unauthorised access. New methods have been adopted in order to find the potential
discrepancies that may damage the network. Most commonly used approach is the vulnerability
assessment. By vulnerability, we mean, the potential flaws in the system that make it prone to the attack.
Assessment of these system vulnerabilities provide a means to identify and develop new strategies so as to
protect the system from the risk of being damaged. This paper focuses on the usage of various vulnerability
scanners and their related methodology to detect the various vulnerabilities available in the web
applications or the remote host across the network and tries to identify new mechanisms that can be
deployed to secure the network.
This document describes a method for solving voltage stability problems in electrical power systems using Field Programmable Gate Array (FPGA) circuits. The modal analysis method and Q-V curves are used to analyze voltage stability and identify weak buses. Two Spartan 3 FPGAs are used - one to receive power system data from a computer and the other to transmit data to network components to implement reactive power corrections online using wireless communication. The method is demonstrated on the 9-bus WSCC test system, where bus 5 is identified as the weakest bus. Q-V curves confirm this and show stability margins increase after compensation is applied through the FPGA system.
This document summarizes a research study on how organizational dreaming by employees affects their job performance and commitment to the organization. The study analyzed survey responses from 184 IT employees in India. Key findings include: 1) Managing employees' organizational dreams positively impacts their job fit and commitment. 2) Employees' perceptions of organizational support are shaped by how their dreams align with the organization. 3) Interacting with employees' organizational dreams and adjusting the workplace enhances their job contributions. The study concludes interactive approaches are needed to align employee dreams with organizational goals to maximize human resource potential.
Cross Site Scripting Attacks and Preventive MeasuresIRJET Journal
This document summarizes cross-site scripting (XSS) attacks and preventive measures. It discusses that XSS attacks allow attackers to inject malicious scripts into web pages through inputs like search fields or comment boxes. There are three main types of XSS attacks: non-persistent reflect XSS through query parameters, persistent stored XSS by storing scripts on servers, and DOM-based XSS using document object model functions. Input validation and code filtering are effective preventive measures. The document also proposes a script filtering algorithm to sanitize inputs and prevent execution of malicious scripts.
IRJET- Penetration Testing using Metasploit Framework: An Ethical ApproachIRJET Journal
This document discusses penetration testing using the Metasploit framework. It begins with an introduction to penetration testing and why it is important for ensuring system and network security. It then describes the phases of penetration testing: information gathering, vulnerability analysis, vulnerability exploitation, post exploitation, and report generation. Finally, it discusses using tools in the Metasploit framework like exploits and payloads to conduct penetration testing according to these phases and ethical approaches. The goal is to identify vulnerabilities before attackers can exploit them.
This document discusses the development of a cross-platform penetration testing suite that compiles standard penetration testing tools into a single mobile application. The suite aims to provide easy access to penetration testing tools on any Android device, improving portability for ethical hackers. It does not require root access of the user's phone. The suite is designed to perform tasks like port scanning, vulnerability scanning, payload generation, and more. It consolidates typical tools used for information gathering, vulnerability assessment, exploitation, and covering tracks into a single interface. This allows ethical hackers to conduct basic penetration tests using only their mobile device.
This document provides a penetration testing and deep code analysis report for EXAMPLE CLIENT. The report summarizes the testing methodology, timeline, and key findings. Testing identified 9 vulnerabilities across the EXAMPLE CLIENT website, including session hijacking, SQL injection, unhandled exceptions, and information disclosures. Risks were assigned as 2 high, 3 medium, and 4 low. The report provides technical details on each vulnerability found and recommendations to enhance the security of the website.
Vulnerability Analysis of 802.11 Authentications and Encryption Protocols: CV...AM Publications
This paper analysis vulnerability of known attacks on WLAN cipher suite, authentication mechanisms and credentials using common vulnerability scoring system (CVSS).
This document provides a vulnerability assessment report for a network called the Grey Network. It analyzes vulnerabilities found on 3 machines with IP addresses 172.31.106.13, 172.31.106.90, and 172.31.106.196. The report found critical vulnerabilities on all machines from outdated operating systems and software. Specific issues included an unencrypted Telnet server, outdated Apache and OpenSSL versions, and Windows XP past its end of life. Scanning tools like Nmap, Nikto, and Nessus were used to detect these vulnerabilities. The report recommends patching all systems, updating to current versions, and disabling insecure services.
ONTOLOGY-BASED MODEL FOR SECURITY ASSESSMENT: PREDICTING CYBERATTACKS THROUGH...IJNSA Journal
The prediction of attacks is essential for the prevention of potential risk. Therefore, risk forecasting contributes a lot to the optimization of the information security budget. This article focuses on the ontology and stages of a cyberattack. It introduces the main representatives of the attacking side and describes their motivation.
Intrusion Detection System - False Positive Alert Reduction TechniqueIDES Editor
Intrusion Detection System (IDS) is the most
powerful system that can handle the intrusions of the computer
environments by triggering alerts to make the analysts take
actions to stop this intrusion, but the IDS is triggering alerts
for any suspicious activity which means thousand alerts that
the analysts should take care of it. IDS generate a large
number of alerts and most of them are false positive as the
behavior construe for partial attack pattern or lack of
environment knowledge. These Alerts has different severities
and most of them don’t require big attention because of the
huge number of the false alerts among them. Monitoring and
identifying risky alerts is a major concern to security
administrator. Deleting the false alerts or reducing the
amount of the alerts (false alerts or real alerts) from the
entire amount alerts lead the researchers to design an
operational model for minimization of false positive alarms,
including recurring alarms by security administrator. In this
paper we are proposing a method, which can reduce such kind
of false positive alarms.
هک پایگاه داده و راهکارهای مقابلهDatabases hacking, safeguards and counterme...M Mehdi Ahmadian
This document discusses database hacking, safeguards, and countermeasures. It begins with an introduction and overview on how databases are commonly hacked. Next, it examines specific SQL server malware like Cblade, Spida, and Slammer worms that have exploited vulnerabilities in Microsoft SQL Server. It then discusses the concept of Oracle rootkits that can hide malicious activities within an Oracle database. The document concludes with recommendations for database security practices and references materials used.
Current Studies On Intrusion Detection System, Genetic Algorithm And Fuzzy Logicijdpsjournal
This document summarizes a research paper on current studies of intrusion detection systems using genetic algorithms and fuzzy logic. The paper presents an overview of intrusion detection systems, including different techniques like misuse detection and anomaly detection. It discusses using genetic algorithms to generate fuzzy rules to characterize normal and abnormal network behavior in order to reduce false alarms. The paper also outlines the dataset, genetic algorithm approach, and use of fuzzy logic that are proposed for the intrusion detection system.
IRJET- Web Application Firewall: Artificial Intelligence ARCIRJET Journal
This document proposes developing a web application firewall using artificial intelligence to recognize attacks. It discusses using an AI architecture engine that integrates with OWASP and builds its own knowledge base to identify attack patterns. The firewall would contain modules for threat detection and mitigation. Packets would be analyzed based on predefined databases and behavioral patterns to detect attacks while reducing false positives. The system aims to provide an advanced layer of protection by learning from transaction experiences.
Routine Detection Of Web Application Defence FlawsIJTET Journal
Abstract— The detection process for security vulnerabilities in ASP.NET websites / web applications is a complex one, most of the code is written by somebody else and there is no documentation to determine the purpose of source code. The characteristic of source code defects generates major web application vulnerabilities. The typical software faults that are behind of web application vulnerabilities, taking into different programming languages. To analyze their ability to prevent security vulnerabilities ASP.NET which is part of .NET framework that separate the HTML code from the programming code in two files, aspx file and another for the programming code. It depends on the compiled language (Visual Basic VB, C sharp C#, Java Script). Visual Basic and C# are the most common languages using with ASP.NET files, and these two compiled languages are in the construction of our proposed algorithm in addition to aspx files. The hacker can inject his malicious as a input or script that can destroy the database or steal website files. By using scanning tool the fault detection process can be done. The scanning process inspects three types of files (aspx, VB and C#). then the software faults are identified. By using fault recovery process the prepared replacement statement technique is used to detect the vulnerabilities and recover it with high efficiency and it provides suggestion then the report is generated then it will help to improve the overall security of the system.
Basic survey on malware analysis, tools and techniquesijcsa
The term malware stands for malicious software. It is a program installed on a system without the
knowledge of owner of the system. It is basically installed by the third party with the intention to steal some
private data from the system or simply just to play pranks. This in turn threatens the computer’s security,
wherein computer are used by one’s in day-to-day life as to deal with various necessities like education,
communication, hospitals, banking, entertainment etc. Different traditional techniques are used to detect
and defend these malwares like Antivirus Scanner (AVS), firewalls, etc. But today malware writers are one
step forward towards then Malware detectors. Day-by-day they write new malwares, which become a great
challenge for malware detectors. This paper focuses on basis study of malwares and various detection
techniques which can be used to detect malwares.
How do hackers automate? What do they automate? And most importantly: How can security teams block automated attacks? The latest Hacker Intelligence Initiative from Imperva's Application Defense Center will help you answer these questions and many more.
Vulnerability Assessment and Penetration Testing Report Rishabh Upadhyay
This document is Rishabh Upadhyay's bachelor's project on ethical hacking and penetration testing. It includes an acknowledgements section thanking those who provided guidance. The project aims to penetration test the local area network of the University of Allahabad, map the network, identify important hosts and services, and demonstrate some attacks. It also includes developing a simple network scanner program. The document is divided into multiple parts covering introductions to topics like hackers vs ethical hackers and penetration testing methodology, as well as a vulnerability assessment report from testing the university's network.
The document analyzes the 2011 hack of RSA Security and subsequent breach of Lockheed Martin's network. It describes how hackers were able to gain access to RSA through a phishing email containing a zero-day Flash exploit. This allowed them to steal RSA's SecurID token secrets and user data. Months later, the same hackers were able to access Lockheed Martin's network using stolen SecurID credentials. The document outlines the attack methods used at each company and lessons learned, including Lockheed Martin's implementation of an internal cyber defense system called the Cyber Kill Chain to prevent future data exfiltration.
A FRAMEWORK FOR ANALYSIS AND COMPARISON OF DYNAMIC MALWARE ANALYSIS TOOLSIJNSA Journal
Malware writers have employed various obfuscation and polymorphism techniques to thwart static analysis
approaches and bypassing antivirus tools. Dynamic analysis techniques, however, have essentially
overcome these deceits by observing the actual behaviour of the code execution. In this regard, various
methods, techniques and tools have been proposed. However, because of the diverse concepts and
strategies used in the implementation of these methods and tools, security researchers and malware
analysts find it difficult to select the required optimum tool to investigate the behaviour of a malware and to
contain the associated risk for their study. Focusing on two dynamic analysis techniques: Function Call
monitoring and Information Flow Tracking, this paper presents a comparison framework for dynamic
malware analysis tools. The framework will assist the researchers and analysts to recognize the tool’s
implementation strategy, analysis approach, system-wide analysis support and its overall handling of
binaries, helping them to select a suitable and effective one for their study and analysis.
This document discusses a tool called ALTERDROID that analyzes Android applications to detect malware. ALTERDROID uses static and dynamic analysis techniques to detect obfuscated malware hidden in applications. It analyzes applications that are installed on a device to identify any malicious components. If malware is found, it asks the user for permission to uninstall the application. For unauthorized users attempting to access the device, it captures their image and sends it by email. The document compares this approach to existing static-only malware analysis techniques, which can miss hidden malicious components.
Behavior Analysis Of Malicious Web Pages Through Client Honeypot For Detectio...IJERA Editor
Malwares which is also known as malicious software’s is spreading through the exploiting the client side applications such as browsers, plug-ins etc. Attackers implant the malware codes in the user’s computer through web pages; thereby they are also known malicious web pages. Here in the paper, we present the usefulness of controlled environment in the form of client honeypots in detection of malicious web pages through collections of malicious intent in web pages and then perform detailed analysis for validation and confirmation of malicious web pages. First phase is collection of malicious infections through high interaction client honeypot, second phase is validations of the malicious infections embedded into web pages through behavior based analysis. Malwares which infect the client side applications and drop the malwares into user’s computers sometimes overrides the signature based detection techniques; thereby there is a need to study the behavior of the complete malicious web pages.
Vulnerability scanners a proactive approach to assess web application securityijcsa
With the increasing concern for security in the network, many approaches are laid out that try to protect
the network from unauthorised access. New methods have been adopted in order to find the potential
discrepancies that may damage the network. Most commonly used approach is the vulnerability
assessment. By vulnerability, we mean, the potential flaws in the system that make it prone to the attack.
Assessment of these system vulnerabilities provide a means to identify and develop new strategies so as to
protect the system from the risk of being damaged. This paper focuses on the usage of various vulnerability
scanners and their related methodology to detect the various vulnerabilities available in the web
applications or the remote host across the network and tries to identify new mechanisms that can be
deployed to secure the network.
This document describes a method for solving voltage stability problems in electrical power systems using Field Programmable Gate Array (FPGA) circuits. The modal analysis method and Q-V curves are used to analyze voltage stability and identify weak buses. Two Spartan 3 FPGAs are used - one to receive power system data from a computer and the other to transmit data to network components to implement reactive power corrections online using wireless communication. The method is demonstrated on the 9-bus WSCC test system, where bus 5 is identified as the weakest bus. Q-V curves confirm this and show stability margins increase after compensation is applied through the FPGA system.
This document summarizes a research study on how organizational dreaming by employees affects their job performance and commitment to the organization. The study analyzed survey responses from 184 IT employees in India. Key findings include: 1) Managing employees' organizational dreams positively impacts their job fit and commitment. 2) Employees' perceptions of organizational support are shaped by how their dreams align with the organization. 3) Interacting with employees' organizational dreams and adjusting the workplace enhances their job contributions. The study concludes interactive approaches are needed to align employee dreams with organizational goals to maximize human resource potential.
This document summarizes an article from the International Journal of Library and Information Science (IJLIS) that examines knowledge processes for successful knowledge management application in university libraries in Nigeria. It identifies knowledge identification, acquisition, organization/creation, and dissemination as key knowledge processes. The study found that Nigerian university libraries carried out the first three processes to a large extent but knowledge creation was carried out to a low extent. It recommends that university libraries intensify efforts to create knowledge through activities like creating databases, reporting research data analyses, indexing knowledge generated at Nigerian universities, and cataloging online resources.
This document presents a work quantity based decision support scheduling model for large construction projects. It begins by discussing the challenges with traditional scheduling tools like bar charts and network methods in accounting for productivity variability and idle time in repetitive activities. It then describes analyzing the progress of clearing and grubbing activities in a highway project by tracking quantities over time in production-time schedules. This led to developing a work quantity based scheduling model that estimates activity durations based on known quantities, probable production rates, progress phases, and work breaks. The model aims to help project managers with scheduling and decision making for large, complex construction projects.
This document summarizes a research paper on the design and advantages of a multi-seed sowing machine. It begins by discussing how traditional sowing methods are labor intensive and inconsistent. It then describes the key parts of the proposed machine, which includes a wheel and pulley system to power seed dispersal, a gear arrangement to control seed spacing, discs with holes to release seeds, and adjustable furrows. The machine is designed to efficiently plant multiple crop seeds simultaneously while controlling row spacing, seed spacing, and fertilizer placement. It reduces labor needs and costs compared to traditional sowing methods. In conclusion, the machine provides improvements in seed and fertilizer utilization with minimal loss.
The document discusses internationalization strategies for small and medium enterprises (SMEs). It explores common drivers for SME internationalization including accessing new markets, resources, and technology. Key internationalization strategies discussed include exporting, turnkey projects, licensing, franchising, and wholly owned subsidiaries. The document also examines factors that influence internationalization approaches, such as entry timing, scope, and pace. Finally, it outlines some challenges SMEs face in internationalization like a lack of capital, information, and managerial time.
This document summarizes a study on the influence of mineral fillers on the properties of hot mix asphalt. The study investigated the effects of adding hydrated lime, fly ash, and phosphogypsum as fillers to bituminous concrete mix. Tests were conducted to determine the creep characteristics, stiffness modulus, and dynamic modulus of mixes containing different amounts of the mineral fillers. The test results showed that mixes with hydrated lime as a filler generally exhibited improved properties compared to mixes with other fillers or the base mix. In particular, hydrated lime led to higher creep stiffness and dynamic modulus values, indicating it improves the asphalt mix's ability to distribute loads and resist deformation under traffic.
This document summarizes an article from the International Journal of Mechanical Engineering and Technology that discusses optimizing traffic signal timing at an isolated intersection. The article aims to minimize delays and queue lengths through optimizing the duration of signal cycles and allocation of green times to phases. It first describes the current signal timing plan and traffic conditions at the intersection. It then calculates performance measures like capacity utilization and lost times using classical models. Finally, it formulates the problem as a linear program to optimize signal timing through minimizing queues and delays, with the goal of improving traffic flow at the intersection without physical changes.
Abstract: The exponential growth of the internet and new technology lead today's world in a hectic situation both positive as well as the negative module. Cybercriminals gamble in the dark net using numerous techniques. This leads to cybercrime. Cyber threats like Malware attempt to infiltrate the computer or mobile device offline or internet, chat(online), and anyone can be a potential target. Malware is also known as malicious software is often used by cybercriminals to achieve their goal by tracking internet activity, capturing sensitive information, or blocking computer access. Reverse engineering is one of the best ways to prevent and is a powerful tool to keep the fight against cyber attacks. Most people in the cyber world see it as a black hat—It is said as being used to steal data and intellectual property. But when it is in the hands of cybersecurity experts, reverse engineering dons the white hat of the hero. Looking at the program from the outside in –often by a third party that had no hand in writing the code. It allows those who practice it to understand how a given program or system works when no source code is available. Reverse engineering accomplishing several tasks related to cybersecurity: finding system vulnerabilities, researching malware &analyzing the complexity of restoring core software algorithms that can further protect against theft. It is hard to hack certain software.
Keywords: Malware, threat, vulnerablity, detection, reverse engineering, analysis.
Title: Malware analysis and detection using reverse Engineering
Author: B.Rashmitha, J. Alwina Beauty Angelin, E.R. Ramesh
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 2, Month: April 2022 - June 2022
Page: (1-4)
Published Date: 01-April-2022
Research Publish Journals
Available at: www.researchpublish.com
You can Direct download full research paper at given below link:
https://www.researchpublish.com/papers/malware-analysis-and-detection-using-reverse-engineering
Academia Link: https://www.academia.edu/76069664/Malware_analysis_and_detection_using_reverse_Engineering_Available_at_www_researchpublish_com_journal_name_International_Journal_of_Computer_Science_and_Information_Technology_Research
Detection and prevention of keylogger spyware attacksIAEME Publication
This document summarizes a proposed method for detecting and preventing keylogger spyware attacks. Keylogger spyware poses a serious threat by recording keyboard keystrokes to steal sensitive information like passwords and account numbers. The proposed method uses a detection and prevention system to identify keyloggers and remove them from infected systems. It aims to protect systems from this type of malware in a network. The document provides an overview of different types of malware like adware, spyware, and keyloggers, and describes how keylogger spyware works by logging keystrokes and transmitting the stolen data to malicious users.
DYNAMIC IDP SIGNATURE PROCESSING BY FAST ELIMINATION USING DFAIJNSA Journal
Intrusion Detection & Prevention Systems generally aims at detecting / preventing attacks against Information systems and networks. The basic task of IDPS is to monitor network & system traffic for any malicious packets/patterns and hence to prevent any unwarranted incidents which leads the systems to insecure state. The monitoring is done by checking each packet for its validity against the signatures formulated for identified vulnerabilities. Since, signatures are the heart & soul of an Intrusion Detection and Prevention System (IDPS), we, in this paper, discuss two methodologies we adapted in our research effort to improve the current Intrusion Detection and Prevention (IDP) systems. The first methodology RUDRAA is for formulating, verifying & validating the potential signatures to be used with IDPS. The second methodology DSP-FED is aimed at processing the signatures in less time with our proposed fast elimination method using DFA. The research objectives of this project are 1) To formulate & process potential IPS signatures to be used with Intrusion prevention system. 2) To propose a DFA based approach for signature processing which, upon a pattern match, could process the signatures faster else could eliminate it efficiently if not matched
AN IMPROVED METHOD TO DETECT INTRUSION USING MACHINE LEARNING ALGORITHMSieijjournal1
An intrusion detection system detects various malicious behaviors and abnormal activities that might harm
security and trust of computer system. IDS operate either on host or network level via utilizing anomaly
detection or misuse detection. Main problem is to correctly detect intruder attack against computer
network. The key point of successful detection of intrusion is choice of proper features. To resolve the
problems of IDS scheme this research work propose “an improved method to detect intrusion using
machine learning algorithms”. In our paper we use KDDCUP 99 dataset to analyze efficiency of intrusion
detection with different machine learning algorithms like Bayes, NaiveBayes, J48, J48Graft and Random
forest. To identify network based IDS with KDDCUP 99 dataset, experimental results shows that the three
algorithms J48, J48Graft and Random forest gives much better results than other machine learning
algorithms. We use WEKA to check the accuracy of classified dataset via our proposed method. We have
considered all the parameter for computation of result i.e. precision, recall, F – measure and ROC.
Malware Detection Module using Machine Learning Algorithms to Assist in Centr...IJNSA Journal
Malicious software is abundant in a world of innumerable computer users, who are constantly faced withthese threats from various sources like the internet, local networks and portable drives. Malware is potentially low to high risk and can cause systems to function incorrectly, steal data and even crash. Malware may be executable or system library files in the form of viruses, worms, Trojans, all aimed at breaching the security of the system and compromising user privacy. Typically, anti-virus software is based on a signature definition system which keeps updating from the internet and thus keeping track of known viruses. While this may be sufficient for home-users, a security risk from a new virus could threaten an entire enterprise network. This paper proposes a new and more sophisticated antivirus engine that can not only scan files, but also build knowledge and detect files as potential viruses. This is done by extracting system API calls made by various normal and harmful executable, and using machine learning algorithms to classify and hence, rank files on a scale of security risk. While such a system is processor heavy, it is very effective when used centrally to protect an enterprise network which maybe more prone to such threats.
This document summarizes an international journal on information technology and management information systems. It discusses detecting and classifying attacks in a computer network. Existing approaches to intrusion detection include anomaly-based systems, host-based intrusion detection systems (HIDS), and network-based intrusion detection systems (NIDS). A multilayer perceptron (MLP) algorithm is commonly used for intrusion detection but has limitations. The paper proposes a modified apriori algorithm to generate rules for detecting and classifying attacks into categories and types to enable recommending appropriate responses.
This document summarizes an international journal on information technology and management information systems. It discusses detecting and classifying attacks in a computer network. Existing approaches to intrusion detection include anomaly-based systems, host-based intrusion detection systems (HIDS), and network-based intrusion detection systems (NIDS). A multilayer perceptron (MLP) algorithm is commonly used for intrusion detection but has limitations. The paper proposes a modified apriori algorithm to generate rules for detecting and classifying attacks into categories and types to enable recommending appropriate responses.
The document describes a proposed integrated honeypot system that aims to detect zero-day attacks, SSH attacks, and keylogger-spyware attacks. The system uses honeypots deployed in virtual machines to log attack behaviors. A separate detection framework then analyzes the honeypot logs to generate new signatures for intrusion detection and prevention systems like Snort. The integrated honeypot includes features for logging details of the targeted attacks. The system is meant to help update defenses against new attack patterns.
A Comprehensive Review On Intrusion Detection System And TechniquesKelly Taylor
This document discusses machine learning techniques for intrusion detection systems (IDS). It provides an overview of the research progress using machine learning to improve intrusion detection in networks. Machine learning and data mining techniques have been widely used to automatically detect network traffic anomalies. The goal is to summarize and compare research contributions of IDS using machine learning, define existing challenges, and discuss anticipated solutions. Commonly used machine learning techniques for IDS are reviewed along with some existing machine learning-based IDS proposed by researchers.
Obfuscated computer virus detection using machine learning algorithmjournalBEEI
Nowadays, computer virus attacks are getting very advanced. New obfuscated computer virus created by computer virus writers will generate a new shape of computer virus automatically for every single iteration and download. This constantly evolving computer virus has caused significant threat to information security of computer users, organizations and even government. However, signature based detection technique which is used by the conventional anti-computer virus software in the market fails to identify it as signatures are unavailable. This research proposed an alternative approach to the traditional signature based detection method and investigated the use of machine learning technique for obfuscated computer virus detection. In this work, text strings are used and have been extracted from virus program codes as the features to generate a suitable classifier model that can correctly classify obfuscated virus files. Text string feature is used as it is informative and potentially only use small amount of memory space. Results show that unknown files can be correctly classified with 99.5% accuracy using SMO classifier model. Thus, it is believed that current computer virus defense can be strengthening through machine learning approach.
Obfuscated computer virus detection using machine learning algorithmjournalBEEI
Nowadays, computer virus attacks are getting very advanced. New obfuscated computer virus created by computer virus writers will generate a new shape of computer virus automatically for every single iteration and download. This constantly evolving computer virus has caused significant threat to information security of computer users, organizations and even government. However, signature based detection technique which is used by the conventional anti-computer virus software in the market fails to identify it as signatures are unavailable. This research proposed an alternative approach to the traditional signature based detection method and investigated the use of machine learning technique for obfuscated computer virus detection. In this work, text strings are used and have been extracted from virus program codes as the features to generate a suitable classifier model that can correctly classify obfuscated virus files. Text string feature is used as it is informative and potentially only use small amount of memory space. Results show that unknown files can be correctly classified with 99.5% accuracy using SMO classifier model. Thus, it is believed that current computer virus defense can be strengthening through machine learning approach.
IRJET- Zombie - Venomous File: Analysis using Legitimate Signature for Securi...IRJET Journal
The document discusses a proposed method for detecting viruses and malware that evade existing antivirus software. It uses a combination of analyzing files with VirusTotal's database of known threats and applying natural language processing techniques like suffix trees and TF-IDF to identify malicious patterns in files. An evaluation shows the proposed method can detect viruses that existing antivirus and VirusTotal miss, achieving a 97% accuracy rate in testing.
This document summarizes an article that proposes integrating conditional random fields (CRFs) and a layered approach to improve intrusion detection systems. CRFs can effectively model relationships between different features to increase attack detection accuracy. A layered approach reduces computation time by eliminating communication overhead between layers and using a small set of features in each layer. The proposed system aims to achieve both high attack detection accuracy using CRFs and high efficiency using the layered approach. It presents integrating these two methods for intrusion detection to address issues with limited coverage, high false alarms, and inefficiency in existing systems.
This document summarizes a proposed robust campus wide network defender system. It begins with an introduction to network security and the role of firewalls and intrusion detection systems. It then describes various attack generation and detection algorithms proposed as part of the system. These include algorithms for generating and detecting ICMP floods, SYN floods, LAND attacks, and XMAS attacks. The system is intended to integrate firewall and IDS capabilities to better defend against known attacks. The document concludes with discussions of the software development process and programming tools used to implement the proposed system.
A review of anomaly based intrusions detection in multi tier web applicationsIAEME Publication
This document provides a review of anomaly-based intrusion detection techniques for multi-tier web applications. It discusses both traditional signature-based methods and newer data mining-based anomaly detection approaches. Several key anomaly detection techniques are summarized, including rule-based systems, multimodal approaches, state transition analysis, profiling of internal application states, and combined approaches that analyze both web requests and database queries. The review finds that anomaly detection is better suited than misuse detection for detecting unknown attacks against complex multi-tier web applications.
This document provides a review of anomaly-based intrusion detection techniques for multi-tier web applications. It begins with an introduction to intrusion detection systems and the differences between misuse detection and anomaly detection. It then reviews several existing anomaly detection approaches including rule-based systems, multimodal approaches, state transition analysis, profiling of internal application states, and combined approaches that analyze both web requests and database queries. The key advantages and disadvantages of each technique are discussed. Overall, the document analyzes different methods for building behavior models and detecting anomalies to identify intrusions in complex multi-tier web applications.
A review of anomaly based intrusions detection in multi tier web applicationsiaemedu
This document provides a review of anomaly-based intrusion detection techniques for multi-tier web applications. It begins with an introduction to intrusion detection systems and the differences between misuse detection and anomaly detection. It then reviews several existing anomaly detection approaches including rule-based systems, multimodal approaches, state transition analysis, profiling of internal application states, and combined approaches that analyze both web requests and database queries. The key advantages and disadvantages of each technique are discussed. Overall, the document analyzes different methods for building behavior models and detecting anomalies to identify intrusions in complex multi-tier web applications.
Pattern Analysis and Signature Extraction for Intrusion Attacks on Web ServicesIJNSA Journal
The increasing popularity of web service technology is attracting hackers and attackers to hack the web services and the servers on which they run. Organizations are therefore facing the challenge of implementing adequate security for Web Services. A major threat is that of intruders which may maliciously try to access the data or services. The automated methods of signature extraction extract the binary pattern blindly resulting in more false positives. In this paper a semi automated approach is proposed to analyze the attacks and generate signatures for web services. For data collection, apart from the conventional SOAP data loggers, honeypots are also used that collect small data which is of high value. To filter out the most suspicious part of the data, SVM based classifier is employed to aid the system administrator. By applying an attack signature algorithm on the filtered data, a more balanced attack signature is extracted that results in fewer false positives and negatives. It helps the Security Administrator to identify the web services that are vulnerable or are attacked more frequently.
Application of Attack Graphs in Intrusion Detection Systems: An ImplementationCSCJournals
This document discusses integrating attack graphs with intrusion detection systems to help identify complex multi-stage attacks. It proposes an architecture where an intrusion detection system detects alerts and stores them in a database. A vulnerability scanner identifies vulnerabilities, and an attack graph generator uses the alerts and vulnerabilities to generate and update an attack graph. A tool then analyzes the alerts and attack graph to highlight detected intrusions on the graph. The goal is to help administrators better understand the progression of attacks by visualizing how alerts may be related across different stages of an attack. As a proof of concept, the paper implements this using SNORT for intrusion detection, NESSUS for vulnerability scanning, and MULVAL for attack graph generation.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.