The document discusses database protection techniques against SQL injection and stored injection attacks. It proposes SEPTIC, a mechanism that protects databases from attacks by detecting and preventing malicious SQL queries within the database management system itself. SEPTIC compares queries to query models and flags any deviations, reducing false positives and negatives. It also introduces concepts like query quarantining and model aging. Additionally, it discusses applying instruction set randomization to SQL to make injected queries invalid.
Software reusabilitydevelopment through NFL approach For identifying security...IJECEIAES
In component based software reusability development process, the software developers have to choose the best components which are self adaptive future to overcome the functional errors, framework mismatches, violation of user level privacy issues and data leakage feasibilities. The software developers can build high quality software applications by taking the consideration of the reusable components which are more suitable to provide high level data security and privacy. This paper has proposing the neural based fuzzy framework based approach to estimate the reusable components which are directly and indirectly involve the security and privacy to improve the quality of the software system. This approach has considered the twenty effecting factors and fifty three attribute matrices. It has formed with three stages of execution scenarios. The first stage has executed with eleven effecting factors and eighteen attribute matrices for identification of supporting software reusability components, the second stage has executed with four effecting factors and thirty five attribute matrices for identification of subinternal relationships in terms of security-privacy, and the third stage has executed with eight effecting factors and six attribute matrices for identification of sub of sub-internal relationships in terms of security risk estimation. This analytical finding proposes a fuzzy logic model to evaluate the most feasible effecting factors that influence the enterprise level data security-privacy practices at real time environment.
A predictive framework for cyber security analytics using attack graphsIJCNCJournal
Security metrics serve as a powerful tool for organizations to understand the effectiveness of protecting computer networks. However majority of these measurement techniques don’t adequately help corporations to make informed risk management decisions. In this paper we present a stochastic security framework for obtaining quantitative measures of security by taking into account the dynamic attributes associated with vulnerabilities that can change over time. Our model is novel as existing research in attack graph analysis do not consider the temporal aspects associated with the vulnerabilities, such as the availability of exploits and patches which can affect the overall network security based on how the vulnerabilities are interconnected and leveraged to compromise the system. In order to have a more realistic representation of how the security state of the network would vary over time, a nonhomogeneous model is developed which incorporates a time dependent covariate, namely the vulnerability age. The daily transition-probability matrices are estimated using Frei's Vulnerability Lifecycle model. We also leverage the trusted CVSS metric domain to analyze how the total exploitability and impact measures evolve over a time period for a given network.
IRJET- 3 Juncture based Issuer Driven Pull Out System using Distributed ServersIRJET Journal
This document discusses network security visualization and proposes a classification system for network security visualization systems. It begins by introducing the importance of visualizing network security data due to the large quantities of data produced. It then reviews existing network security visualization systems and outlines key aspects they monitor like host/server monitoring, port activity, and intrusion detection. The document proposes a taxonomy to classify network security visualization systems based on their data sources and techniques. It concludes by stating papers were selected for review based on their relevance to network security, novelty of techniques, and inclusion of evaluations.
Formal method techniques provides a suitable platform for the software development in software systems.
Formal methods and formal verification is necessary to prove the correctness and improve performance of
software systems in various levels of design and implementation, too. Security Discussion is an important
issue in computer systems. Since the antivirus applications have very important role in computer systems
security, verifying these applications is very essential and necessary. In this paper, we present four new
approaches for antivirus system behavior and a behavioral model of protection services in the antivirus
system is proposed. We divided the behavioral model in to preventive behavior and control behavior and
then we formal these behaviors. Finally by using some definitions we explain the way these behaviors are
mapped on each other by using our new approaches.
user centric machine learning framework for cyber security operations centerVenkat Projects
In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm and sample performance evaluations using the computer built in the SOC production of Seyondike.
Security issues often neglected until coding step in
software development process, and changing in this step leads to
maximize time and cost consuming depending on the size of the
project. Applying security on design phase can fix vulnerabilities
of the software earlier in the project and minimize the time and
cost of the software by identifying security flaws earlier in the
software life cycle. This work concerns with discussing security
metrics for object oriented class design, and implementing these
metrics from Enterprise Architect class diagram using a
proposed CASE tool.
IRJET- An Efficient Technique for Finding SQL Injection using Reverse Proxy S...IRJET Journal
This document discusses an efficient technique for detecting SQL injection attacks using a reverse proxy server. It proposes redirecting user inputs to a proxy server before sending them to the application server. A data cleansing algorithm would then sanitize the inputs by checking for malicious patterns. If patterns are found, the request is rejected, otherwise it is passed to the application server. The technique aims to detect and prevent 93% of SQL injections and 85% of cross-site scripting attacks with low false positives. It uses techniques like pattern matching, sanitization of HTML/JavaScript, and tokenization to cleanse inputs before execution on the database.
SECURITY VIGILANCE SYSTEM THROUGH LEVEL DRIVEN SECURITY MATURITY MODELIJCSEIT Journal
Success of any software system largely looms upon its vigilance efficiency that prompts organizations to
meet the set of objectives in the arena of networks. In the highly competitive world, everything appears to
be vulnerable; information system is also not an exception to this fact. The security of information system
has become a cause of great concern. On the contrary, till time the software security engineers are trying
hard to develop fully protected and highly secured information systems but all these developments are at
nascent stages. It is quite revelling that in the earlier research studies, little attention is paid to highlight an
accurate status of the security alertness for developed software. Hence, keeping all these factors at the
backdrop, this paper is an attempt to propose a holistic Security Maturity Model (SMM), in which five
levels/stars have been developed, driven on the strength of the security vigilance occurring at the various
stages for any software. SMM is in its conceptual stage; the detailed steps will certainly require time to be
developed so that every software system can reap out the benefits of this model. To categorize/discriminate
the level of potency, SMM will be highlighted through appropriate ranking/star system. It is hoped that if
SMM will be followed in its true letter and sprit; undoubtedly, this will restore the clients’ trust and
confidence on the software as well as their corresponding vendors. Moreover, this will also enable software
industry to follow transparent and ethical practices.
Software reusabilitydevelopment through NFL approach For identifying security...IJECEIAES
In component based software reusability development process, the software developers have to choose the best components which are self adaptive future to overcome the functional errors, framework mismatches, violation of user level privacy issues and data leakage feasibilities. The software developers can build high quality software applications by taking the consideration of the reusable components which are more suitable to provide high level data security and privacy. This paper has proposing the neural based fuzzy framework based approach to estimate the reusable components which are directly and indirectly involve the security and privacy to improve the quality of the software system. This approach has considered the twenty effecting factors and fifty three attribute matrices. It has formed with three stages of execution scenarios. The first stage has executed with eleven effecting factors and eighteen attribute matrices for identification of supporting software reusability components, the second stage has executed with four effecting factors and thirty five attribute matrices for identification of subinternal relationships in terms of security-privacy, and the third stage has executed with eight effecting factors and six attribute matrices for identification of sub of sub-internal relationships in terms of security risk estimation. This analytical finding proposes a fuzzy logic model to evaluate the most feasible effecting factors that influence the enterprise level data security-privacy practices at real time environment.
A predictive framework for cyber security analytics using attack graphsIJCNCJournal
Security metrics serve as a powerful tool for organizations to understand the effectiveness of protecting computer networks. However majority of these measurement techniques don’t adequately help corporations to make informed risk management decisions. In this paper we present a stochastic security framework for obtaining quantitative measures of security by taking into account the dynamic attributes associated with vulnerabilities that can change over time. Our model is novel as existing research in attack graph analysis do not consider the temporal aspects associated with the vulnerabilities, such as the availability of exploits and patches which can affect the overall network security based on how the vulnerabilities are interconnected and leveraged to compromise the system. In order to have a more realistic representation of how the security state of the network would vary over time, a nonhomogeneous model is developed which incorporates a time dependent covariate, namely the vulnerability age. The daily transition-probability matrices are estimated using Frei's Vulnerability Lifecycle model. We also leverage the trusted CVSS metric domain to analyze how the total exploitability and impact measures evolve over a time period for a given network.
IRJET- 3 Juncture based Issuer Driven Pull Out System using Distributed ServersIRJET Journal
This document discusses network security visualization and proposes a classification system for network security visualization systems. It begins by introducing the importance of visualizing network security data due to the large quantities of data produced. It then reviews existing network security visualization systems and outlines key aspects they monitor like host/server monitoring, port activity, and intrusion detection. The document proposes a taxonomy to classify network security visualization systems based on their data sources and techniques. It concludes by stating papers were selected for review based on their relevance to network security, novelty of techniques, and inclusion of evaluations.
Formal method techniques provides a suitable platform for the software development in software systems.
Formal methods and formal verification is necessary to prove the correctness and improve performance of
software systems in various levels of design and implementation, too. Security Discussion is an important
issue in computer systems. Since the antivirus applications have very important role in computer systems
security, verifying these applications is very essential and necessary. In this paper, we present four new
approaches for antivirus system behavior and a behavioral model of protection services in the antivirus
system is proposed. We divided the behavioral model in to preventive behavior and control behavior and
then we formal these behaviors. Finally by using some definitions we explain the way these behaviors are
mapped on each other by using our new approaches.
user centric machine learning framework for cyber security operations centerVenkat Projects
In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm and sample performance evaluations using the computer built in the SOC production of Seyondike.
Security issues often neglected until coding step in
software development process, and changing in this step leads to
maximize time and cost consuming depending on the size of the
project. Applying security on design phase can fix vulnerabilities
of the software earlier in the project and minimize the time and
cost of the software by identifying security flaws earlier in the
software life cycle. This work concerns with discussing security
metrics for object oriented class design, and implementing these
metrics from Enterprise Architect class diagram using a
proposed CASE tool.
IRJET- An Efficient Technique for Finding SQL Injection using Reverse Proxy S...IRJET Journal
This document discusses an efficient technique for detecting SQL injection attacks using a reverse proxy server. It proposes redirecting user inputs to a proxy server before sending them to the application server. A data cleansing algorithm would then sanitize the inputs by checking for malicious patterns. If patterns are found, the request is rejected, otherwise it is passed to the application server. The technique aims to detect and prevent 93% of SQL injections and 85% of cross-site scripting attacks with low false positives. It uses techniques like pattern matching, sanitization of HTML/JavaScript, and tokenization to cleanse inputs before execution on the database.
SECURITY VIGILANCE SYSTEM THROUGH LEVEL DRIVEN SECURITY MATURITY MODELIJCSEIT Journal
Success of any software system largely looms upon its vigilance efficiency that prompts organizations to
meet the set of objectives in the arena of networks. In the highly competitive world, everything appears to
be vulnerable; information system is also not an exception to this fact. The security of information system
has become a cause of great concern. On the contrary, till time the software security engineers are trying
hard to develop fully protected and highly secured information systems but all these developments are at
nascent stages. It is quite revelling that in the earlier research studies, little attention is paid to highlight an
accurate status of the security alertness for developed software. Hence, keeping all these factors at the
backdrop, this paper is an attempt to propose a holistic Security Maturity Model (SMM), in which five
levels/stars have been developed, driven on the strength of the security vigilance occurring at the various
stages for any software. SMM is in its conceptual stage; the detailed steps will certainly require time to be
developed so that every software system can reap out the benefits of this model. To categorize/discriminate
the level of potency, SMM will be highlighted through appropriate ranking/star system. It is hoped that if
SMM will be followed in its true letter and sprit; undoubtedly, this will restore the clients’ trust and
confidence on the software as well as their corresponding vendors. Moreover, this will also enable software
industry to follow transparent and ethical practices.
Software security risk mitigation using object oriented design patternseSAT Journals
Abstract It is now well known that requirement and the design phase of software development lifecycle are the phases where security incorporation yields maximum benefits.In this paper, we have tried to tie security requirements, security features and security design patterns together in a single string. It is complete process that will help a designer to choose the most appropriate security design pattern depending on the security requirements. The process includes risk analysis methodology at the design phase of the software that is based on the common criteria requirement as it is a wellknown security standard that is generally used in the development of security requirements. Risk mitigation mechanisms are proposed in the form of security design patterns. Exhaustive list of most reliable and well proven security design patterns is prepared and their categorization is done on the basis of attributes like data sensitivity, sector, number of users etc. Identified patterns are divided into three levels of security. After the selection of security requirement, the software designer can calculate the percentage of security features contribution and on the basis of this percentage; design pattern level can be selected and applied.
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.
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
The document summarizes research on securing software development stages using aspect-orientation concepts. It proposes a model called the Aspect-Oriented Software Security Development Life Cycle (AOSSDLC) which incorporates security activities into each stage of the software development life cycle. The model aims to efficiently integrate security as a cross-cutting concern using aspect orientation. It is concluded that aspect orientation allows security features to be installed without changing the existing software structure, providing benefits over other approaches.
Abstract From a long time different surveys are carried to get some kind of stats related to particular survey. But these surveys involve lot of manual methods and huge amount of human intervention which sometimes causes delays in the surveys. To make use of our App in Government sector and to reduce the work done manually for different market surveys done by the different Organizations. The main motive of choosing this topic was to make our product work in Android Mobiles. This is a Survey Mobile App basically will be used in public and private sectors of any Organizations. This App is used to reduce the workload of any employee who does his work manually. This app will allow us to make surveys of different type from just one single mobile app .This App will help him to do his work in more convenient manner. Keywords: Marketing, Survey, Android, ASP.NET, Phone Gap, JQuery.
Survey on cloud computing security techniqueseSAT Journals
This document summarizes techniques for ensuring security in cloud computing. It discusses different cloud deployment models and types of threats to cloud security. It then analyzes several intrusion detection and prevention system techniques for providing data security in cloud computing, including proof of retrievability models and cryptographic storage services. It compares the advantages and disadvantages of techniques proposed by Juels, Shacham, Bowers, and Kamara regarding their ability to verify data integrity and availability while tolerating security breaches.
Numerous security metrics have been proposed in the past for protecting computer networks.
However we still lack effective techniques to accurately measure the predictive security risk of
an enterprise taking into account the dynamic attributes associated with vulnerabilities that can
change over time. In this paper we present a stochastic security framework for obtaining
quantitative measures of security using attack graphs. Our model is novel as existing research
in attack graph analysis do not consider the temporal aspects associated with the
vulnerabilities, such as the availability of exploits and patches which can affect the overall
network security based on how the vulnerabilities are interconnected and leveraged to
compromise the system. Gaining a better understanding of the relationship between
vulnerabilities and their lifecycle events can provide security practitioners a better
understanding of their state of security. In order to have a more realistic representation of how
the security state of the network would vary over time, a nonhomogeneous model is developed
which incorporates a time dependent covariate, namely the vulnerability age. The daily
transition-probability matrices are estimated using Frei's Vulnerability Lifecycle model. We
also leverage the trusted CVSS metric domain to analyze how the total exploitability and impact
measures evolve over a time period for a given network.
Cis 333 Enthusiastic Study / snaptutorial.comGeorgeDixon99
Case Study 1: Bring Your Own Device (BYOD)
Due Week 3 and worth 60 points
Read the following articles located in the course shell: “The dark side of BYOD” from TechRepublic and “BYOD As We Know It Is Dead” from Forbes.
Write a two to three (2-3) page paper in which you:
Identify the primary benefits of BYOD in organizations, and determine the key ways in
A model based security requirements engineering frameworkiaemedu
This document presents a framework for security requirements engineering. It discusses how security requirements are often not properly considered early in the development process. It reviews related work on security requirements engineering, including a previous framework by Haley et al. that defined criteria for adequate security requirements. The proposed framework aims to improve on previous approaches by integrating security requirements elicitation and analysis into the core requirements engineering activities from the start. It then compares the proposed framework to Haley's framework, highlighting differences in how security requirements are treated.
A model based security requirements engineering frameworkIAEME Publication
This document presents a framework for security requirements engineering. It discusses how security requirements are often not properly considered early in the development process. It reviews related work on security requirements engineering, including a previous framework by Haley et al. that defined criteria for adequate security requirements. The proposed framework aims to improve on previous approaches by integrating security requirements elicitation and analysis into mainstream requirements activities from the beginning. It then compares the proposed framework to Haley's framework.
This document discusses model-based vulnerability testing (MBVT) for web applications. It proposes a three-model framework that separates the application specification model from the implementation model to test contexts missed by other approaches. MBVT aims to improve accuracy and precision of vulnerability testing by generating test cases from models and vulnerability test patterns to avoid false positives and negatives. The goal is to automate vulnerability testing and increase detection of vulnerabilities to improve overall security.
A Security Analysis Framework Powered by an Expert SystemCSCJournals
Today\'s IT systems are facing a major challenge in confronting the fast rate of emerging security threats. Although many security tools are being employed within organizations in order to standup to these threats, the information revealed is very inferior in providing a rich understanding to the consequences of the discovered vulnerabilities. We believe expert systems can play an important role in capturing any security expertise from various sources in order to provide the informative deductions we are looking for from the supplied inputs. Throughout this research effort, we have built the Open Security Knowledge Engineered (OpenSKE) framework (http://code.google.com/p/openske), which is a security analysis framework built around an expert system in order to reason over the security information collected from external sources. Our implementation has been published online in order to facilitate and encourage online collaboration to increase the practical research within the field of security analysis.
Developing secure software using Aspect oriented programmingIOSR Journals
This document discusses using aspect-oriented programming (AOP) to develop more secure software by separating security concerns from core application logic. It provides motivation for this approach by explaining how security code can become tangled and scattered in object-oriented programs. The document then introduces AOP and AspectJ, using access control as an example of how AOP can improve modularity of a cross-cutting security concern. Specifically, it describes representing access control state using a pushdown automaton updated by AOP aspects.
For more course tutorials visit
www.newtonhelp.com
Project 1
Step 1: Conduct a Security Analysis Baseline
In the first step of the project, you will conduct a security analysis baseline of the IT systems, which will include a data-flow diagram of connections and endpoints, and all types of access points, including wireless. The baseline
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.
Prevention of SQL injection in E- Commerceijceronline
Structured Query Language (SQL) injection, in present scenario, emerges as one of the most challenging fact to effect on the online business, as it can expose all of the business transaction related sensitive information which is stored in online database, inclusive of most highly secured sensitive information such as credit card passwords , usernames, login ids, credentials, phone, email id etc. Structured Query Language injection remain a responsibility that when intruder gets the ability with SQL related queries which is passed to a back-end database. The query which is passed by the intruder to the data, can allow the query to data which is an assisting element with database and required operating system. Every SQL Query that allows the inputs from the attacker sides can defect our real web application. Intruder which attempts to insert defective SQL query into an entry field to extract the query so that they can dump the database or alter the database which is known as "code injection technique" and this type of attacker is also called attack vector for websites and usually used by any type of SQL database. Through this research paper, our endeavour is to understand the methodology of SQL injection and also to propose solution to prevent SQL Injection in one of the most vulnerable field of E commerce.
Prevention of SQL Injection Attacks having XML DatabaseIOSR Journals
This document discusses an XML-based technique called XML-SQL for preventing SQL injection attacks. It proposes submitting all client data to the server in an XML format and having the server validate the entire XML file against pre-defined validation rules at once, rather than validating each data item separately. This allows complex data to be validated more easily and generically. The technique aims to separate the data validation from the application development to make the developer's job simpler and more secure.
This document describes a proposed vulnerability management system (VMS) that aims to automate the process of scanning software applications to identify vulnerabilities. The proposed system uses a hybrid algorithm approach that incorporates features from existing vulnerability detection tools and algorithms. The algorithm involves five main phases: inspection, scanning, attack detection, analysis, and reporting. The algorithm is intended to increase the accuracy of vulnerability detection compared to existing systems. The proposed VMS system and hybrid algorithm were tested using various vulnerability scanning tools on virtual machines, and results demonstrated that the VMS could automate the vulnerability assessment process and generate reports on detected vulnerabilities with severity levels. The main limitation is that scans using the VMS may take more time than some existing tools.
A Study on Detection and Prevention of SQL Injection AttackIRJET Journal
This document discusses SQL injection attacks and proposes a method for detecting and preventing them. It begins with an introduction to SQL injection attacks and discusses how they work. It then reviews related literature on detecting and preventing SQL injection. The proposed system would use Aho-Corasick string matching to build a state machine model of valid SQL queries during static analysis. Runtime monitoring would then check dynamically generated queries against this static model to detect malicious queries before database execution.
The International Journal of Engineering and Science (The IJES)theijes
This document summarizes a research paper that proposes a new intrusion detection system (IDS) to identify distributed denial-of-service (DDoS) attacks in multitier web applications. The system models relationships between web server requests and database queries to detect attacks where normal traffic is used maliciously. It handles both deterministic and non-deterministic relationships. For static websites, the system classifies traffic into patterns and builds a mapping model. For dynamic websites, it aims to extract one-to-many mappings despite parameter variations and overlapping operations. The paper also discusses SQL tautology attacks, which exploit input fields to bypass authentication or extract all data.
Devoid Web Application From SQL Injection AttackIJRESJOURNAL
ABSTRACT: The entire field of web based application is controlled by the internet. In every region, World Wide Web is hugely necessary. So, network assurance is badly assuring job for us. Several kind of attacker or application programmer is attempting to split the immunity of information and destroy the instruction composed in the database. The SQL Injection Attack is very large safety measure risk in that present day. The indicated attacks allow to attacker’ s unlimited access from the database or still authority of database those determine web based application. That manages conscious and secret records and put the injurious SQL query put to modify the expected function. Many database reviewer and theorist give distinct concept to avoid regarding SQL Injection Attack. But no one of the concept is completely adaptable to. This research introduces a latest framework to protecting web based application from the SQL Injection Attack. Introduced framework i.e. present in this research is based on two techniques known as SQM (SQL Query Monitor) and Sanitization Application. That is the two ways filter program which analyses the user query and generate a separate key for user before it is sent to the application server. Several aspects of SQL Injection Attack are also discussed in that research.
Ijeee 51-57-preventing sql injection attacks in web applicationKumar Goud
The document discusses preventing SQL injection attacks in web applications. It describes how SQL injection allows attackers to gain unauthorized access to data underlying web applications. The authors propose a new application-specific encoding algorithm based on randomization to detect and prevent SQL injection attacks. This approach imposes low overhead on applications and requires minimal preparation, achieving efficiency through a specialized library that accurately tracks trusted strings at runtime.
Software security risk mitigation using object oriented design patternseSAT Journals
Abstract It is now well known that requirement and the design phase of software development lifecycle are the phases where security incorporation yields maximum benefits.In this paper, we have tried to tie security requirements, security features and security design patterns together in a single string. It is complete process that will help a designer to choose the most appropriate security design pattern depending on the security requirements. The process includes risk analysis methodology at the design phase of the software that is based on the common criteria requirement as it is a wellknown security standard that is generally used in the development of security requirements. Risk mitigation mechanisms are proposed in the form of security design patterns. Exhaustive list of most reliable and well proven security design patterns is prepared and their categorization is done on the basis of attributes like data sensitivity, sector, number of users etc. Identified patterns are divided into three levels of security. After the selection of security requirement, the software designer can calculate the percentage of security features contribution and on the basis of this percentage; design pattern level can be selected and applied.
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.
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
The document summarizes research on securing software development stages using aspect-orientation concepts. It proposes a model called the Aspect-Oriented Software Security Development Life Cycle (AOSSDLC) which incorporates security activities into each stage of the software development life cycle. The model aims to efficiently integrate security as a cross-cutting concern using aspect orientation. It is concluded that aspect orientation allows security features to be installed without changing the existing software structure, providing benefits over other approaches.
Abstract From a long time different surveys are carried to get some kind of stats related to particular survey. But these surveys involve lot of manual methods and huge amount of human intervention which sometimes causes delays in the surveys. To make use of our App in Government sector and to reduce the work done manually for different market surveys done by the different Organizations. The main motive of choosing this topic was to make our product work in Android Mobiles. This is a Survey Mobile App basically will be used in public and private sectors of any Organizations. This App is used to reduce the workload of any employee who does his work manually. This app will allow us to make surveys of different type from just one single mobile app .This App will help him to do his work in more convenient manner. Keywords: Marketing, Survey, Android, ASP.NET, Phone Gap, JQuery.
Survey on cloud computing security techniqueseSAT Journals
This document summarizes techniques for ensuring security in cloud computing. It discusses different cloud deployment models and types of threats to cloud security. It then analyzes several intrusion detection and prevention system techniques for providing data security in cloud computing, including proof of retrievability models and cryptographic storage services. It compares the advantages and disadvantages of techniques proposed by Juels, Shacham, Bowers, and Kamara regarding their ability to verify data integrity and availability while tolerating security breaches.
Numerous security metrics have been proposed in the past for protecting computer networks.
However we still lack effective techniques to accurately measure the predictive security risk of
an enterprise taking into account the dynamic attributes associated with vulnerabilities that can
change over time. In this paper we present a stochastic security framework for obtaining
quantitative measures of security using attack graphs. Our model is novel as existing research
in attack graph analysis do not consider the temporal aspects associated with the
vulnerabilities, such as the availability of exploits and patches which can affect the overall
network security based on how the vulnerabilities are interconnected and leveraged to
compromise the system. Gaining a better understanding of the relationship between
vulnerabilities and their lifecycle events can provide security practitioners a better
understanding of their state of security. In order to have a more realistic representation of how
the security state of the network would vary over time, a nonhomogeneous model is developed
which incorporates a time dependent covariate, namely the vulnerability age. The daily
transition-probability matrices are estimated using Frei's Vulnerability Lifecycle model. We
also leverage the trusted CVSS metric domain to analyze how the total exploitability and impact
measures evolve over a time period for a given network.
Cis 333 Enthusiastic Study / snaptutorial.comGeorgeDixon99
Case Study 1: Bring Your Own Device (BYOD)
Due Week 3 and worth 60 points
Read the following articles located in the course shell: “The dark side of BYOD” from TechRepublic and “BYOD As We Know It Is Dead” from Forbes.
Write a two to three (2-3) page paper in which you:
Identify the primary benefits of BYOD in organizations, and determine the key ways in
A model based security requirements engineering frameworkiaemedu
This document presents a framework for security requirements engineering. It discusses how security requirements are often not properly considered early in the development process. It reviews related work on security requirements engineering, including a previous framework by Haley et al. that defined criteria for adequate security requirements. The proposed framework aims to improve on previous approaches by integrating security requirements elicitation and analysis into the core requirements engineering activities from the start. It then compares the proposed framework to Haley's framework, highlighting differences in how security requirements are treated.
A model based security requirements engineering frameworkIAEME Publication
This document presents a framework for security requirements engineering. It discusses how security requirements are often not properly considered early in the development process. It reviews related work on security requirements engineering, including a previous framework by Haley et al. that defined criteria for adequate security requirements. The proposed framework aims to improve on previous approaches by integrating security requirements elicitation and analysis into mainstream requirements activities from the beginning. It then compares the proposed framework to Haley's framework.
This document discusses model-based vulnerability testing (MBVT) for web applications. It proposes a three-model framework that separates the application specification model from the implementation model to test contexts missed by other approaches. MBVT aims to improve accuracy and precision of vulnerability testing by generating test cases from models and vulnerability test patterns to avoid false positives and negatives. The goal is to automate vulnerability testing and increase detection of vulnerabilities to improve overall security.
A Security Analysis Framework Powered by an Expert SystemCSCJournals
Today\'s IT systems are facing a major challenge in confronting the fast rate of emerging security threats. Although many security tools are being employed within organizations in order to standup to these threats, the information revealed is very inferior in providing a rich understanding to the consequences of the discovered vulnerabilities. We believe expert systems can play an important role in capturing any security expertise from various sources in order to provide the informative deductions we are looking for from the supplied inputs. Throughout this research effort, we have built the Open Security Knowledge Engineered (OpenSKE) framework (http://code.google.com/p/openske), which is a security analysis framework built around an expert system in order to reason over the security information collected from external sources. Our implementation has been published online in order to facilitate and encourage online collaboration to increase the practical research within the field of security analysis.
Developing secure software using Aspect oriented programmingIOSR Journals
This document discusses using aspect-oriented programming (AOP) to develop more secure software by separating security concerns from core application logic. It provides motivation for this approach by explaining how security code can become tangled and scattered in object-oriented programs. The document then introduces AOP and AspectJ, using access control as an example of how AOP can improve modularity of a cross-cutting security concern. Specifically, it describes representing access control state using a pushdown automaton updated by AOP aspects.
For more course tutorials visit
www.newtonhelp.com
Project 1
Step 1: Conduct a Security Analysis Baseline
In the first step of the project, you will conduct a security analysis baseline of the IT systems, which will include a data-flow diagram of connections and endpoints, and all types of access points, including wireless. The baseline
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.
Prevention of SQL injection in E- Commerceijceronline
Structured Query Language (SQL) injection, in present scenario, emerges as one of the most challenging fact to effect on the online business, as it can expose all of the business transaction related sensitive information which is stored in online database, inclusive of most highly secured sensitive information such as credit card passwords , usernames, login ids, credentials, phone, email id etc. Structured Query Language injection remain a responsibility that when intruder gets the ability with SQL related queries which is passed to a back-end database. The query which is passed by the intruder to the data, can allow the query to data which is an assisting element with database and required operating system. Every SQL Query that allows the inputs from the attacker sides can defect our real web application. Intruder which attempts to insert defective SQL query into an entry field to extract the query so that they can dump the database or alter the database which is known as "code injection technique" and this type of attacker is also called attack vector for websites and usually used by any type of SQL database. Through this research paper, our endeavour is to understand the methodology of SQL injection and also to propose solution to prevent SQL Injection in one of the most vulnerable field of E commerce.
Prevention of SQL Injection Attacks having XML DatabaseIOSR Journals
This document discusses an XML-based technique called XML-SQL for preventing SQL injection attacks. It proposes submitting all client data to the server in an XML format and having the server validate the entire XML file against pre-defined validation rules at once, rather than validating each data item separately. This allows complex data to be validated more easily and generically. The technique aims to separate the data validation from the application development to make the developer's job simpler and more secure.
This document describes a proposed vulnerability management system (VMS) that aims to automate the process of scanning software applications to identify vulnerabilities. The proposed system uses a hybrid algorithm approach that incorporates features from existing vulnerability detection tools and algorithms. The algorithm involves five main phases: inspection, scanning, attack detection, analysis, and reporting. The algorithm is intended to increase the accuracy of vulnerability detection compared to existing systems. The proposed VMS system and hybrid algorithm were tested using various vulnerability scanning tools on virtual machines, and results demonstrated that the VMS could automate the vulnerability assessment process and generate reports on detected vulnerabilities with severity levels. The main limitation is that scans using the VMS may take more time than some existing tools.
A Study on Detection and Prevention of SQL Injection AttackIRJET Journal
This document discusses SQL injection attacks and proposes a method for detecting and preventing them. It begins with an introduction to SQL injection attacks and discusses how they work. It then reviews related literature on detecting and preventing SQL injection. The proposed system would use Aho-Corasick string matching to build a state machine model of valid SQL queries during static analysis. Runtime monitoring would then check dynamically generated queries against this static model to detect malicious queries before database execution.
The International Journal of Engineering and Science (The IJES)theijes
This document summarizes a research paper that proposes a new intrusion detection system (IDS) to identify distributed denial-of-service (DDoS) attacks in multitier web applications. The system models relationships between web server requests and database queries to detect attacks where normal traffic is used maliciously. It handles both deterministic and non-deterministic relationships. For static websites, the system classifies traffic into patterns and builds a mapping model. For dynamic websites, it aims to extract one-to-many mappings despite parameter variations and overlapping operations. The paper also discusses SQL tautology attacks, which exploit input fields to bypass authentication or extract all data.
Devoid Web Application From SQL Injection AttackIJRESJOURNAL
ABSTRACT: The entire field of web based application is controlled by the internet. In every region, World Wide Web is hugely necessary. So, network assurance is badly assuring job for us. Several kind of attacker or application programmer is attempting to split the immunity of information and destroy the instruction composed in the database. The SQL Injection Attack is very large safety measure risk in that present day. The indicated attacks allow to attacker’ s unlimited access from the database or still authority of database those determine web based application. That manages conscious and secret records and put the injurious SQL query put to modify the expected function. Many database reviewer and theorist give distinct concept to avoid regarding SQL Injection Attack. But no one of the concept is completely adaptable to. This research introduces a latest framework to protecting web based application from the SQL Injection Attack. Introduced framework i.e. present in this research is based on two techniques known as SQM (SQL Query Monitor) and Sanitization Application. That is the two ways filter program which analyses the user query and generate a separate key for user before it is sent to the application server. Several aspects of SQL Injection Attack are also discussed in that research.
Ijeee 51-57-preventing sql injection attacks in web applicationKumar Goud
The document discusses preventing SQL injection attacks in web applications. It describes how SQL injection allows attackers to gain unauthorized access to data underlying web applications. The authors propose a new application-specific encoding algorithm based on randomization to detect and prevent SQL injection attacks. This approach imposes low overhead on applications and requires minimal preparation, achieving efficiency through a specialized library that accurately tracks trusted strings at runtime.
1) The document discusses a proposed Vulnerability Management System (VMS) to identify and manage software vulnerabilities.
2) It provides an overview of vulnerability management and discusses related work that has been done in vulnerability databases and tracking systems.
3) The proposed VMS would use morphological inspection and static analysis to assess vulnerabilities, store information in a database, and rank vulnerabilities based on severity. It would consist of a vulnerability scanner, process control platform, and data storage.
Literature Survey on Web based Recognition of SQL Injection AttacksIRJET Journal
This document provides a literature survey of various research and methodologies that have been developed to address SQL injection attacks (SQLIA). It summarizes several papers that propose different techniques for detecting SQLIA, including using elastic-pooling convolutional neural networks, deep learning and neural networks, Rabin fingerprinting and Aho-Corasick pattern matching, automated code analysis using WebVIM, grammatical analysis of SQL statements, edit-distance methods, and a hybrid taint inference approach called "Joza". The goal of the survey is to give readers an overview of recent work on algorithms and methods for identifying SQLIA on websites.
SQL injection is the major susceptible attack in today’s era of web application which attacks the database to gain unauthorized and illicit access. It works as an intermediate between web application and database. Most of the time, well-known people fire the SQL injection, who is previously working in the organisation on the present database. Today organisation has major concern is to stop SQL injection because it is the major vulnerable attack in the database. SQLI attacks target databases that are reachable through web front. SQLI prevention technique efficiently blocked all of the attacks without generating any false positive. In this paper we present different techniques and tools which can prevent various attacks.
A hybrid technique for sql injection attacks detection and preventionijdms
SQL injection is a type of attacks used to gain, manipulate, or delete information in any data-driven system
whether this system is online or offline and whether this system is a web or non-web-based. It is
distinguished by the multiplicity of its performing methods, so defense techniques could not detect or
prevent such attacks. The main objective of this paper is to create a reliable and accurate hybrid technique
that secure systems from being exploited by SQL injection attacks. This hybrid technique combines static
and runtime SQL queries analysis to create a defense strategy that can detect and prevent various types of
SQL injection attacks. To evaluate this suggested technique, a large set of SQL queries have been executed
through a simulation that had been developed. The results indicate that the suggested technique is reliable
and more effective in capturing more SQL injection types compared to other SQL injection detection
methods.
Effective Information Flow Control as a Service: EIFCaaSIRJET Journal
This document presents a framework called Effective Information Flow Control as a Service (EIFCaaS) to detect vulnerabilities in Software as a Service (SaaS) applications in cloud computing environments. EIFCaaS analyzes application bytecode using static taint analysis to identify insecure information flows that could violate data confidentiality or integrity. The framework consists of four main components: a model generator, an information flow control engine, a vulnerability detector, and a result publisher. The framework was implemented as a prototype and evaluated on six open source applications, detecting SQL injection and NoSQL injection vulnerabilities. EIFCaaS aims to provide third-party security analysis and monitoring of SaaS applications as a cloud-based service.
Vulnerability Management in IT InfrastructureIRJET Journal
This document discusses the development of a web portal to automate vulnerability management in IT infrastructure. It aims to make identifying vulnerabilities, assigning risk treatments, and remediating vulnerabilities more efficient. The portal was built using MongoDB, Node.js, Express.js, and React.js. It allows security leads to view vulnerability reports and assign risk treatments. Asset owners can then view assets assigned to them to remediate. This addresses the inefficiencies of previous manual processes. The portal provides a more structured way to manage vulnerabilities through the entire lifecycle from identification to remediation.
This document presents a methodology for analyzing the security of industrial control systems using a knowledge-based system called IDP. The methodology models an industrial control system in IDP's input language and uses logic rules in IDP to analyze the model and extract vulnerabilities. The methodology was tested on a real-world case study of an industrial hatchery. It allows modeling the system, users, security policies, and known vulnerabilities to check if the security policy is respected given the system design and vulnerabilities.
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.
A hybrid framework for detecting structured query language injection attacks...IJECEIAES
Almost every web-based application is managed and operated through a number of websites, each of which is vulnerable to cyber-attacks that are mounted across the same networks used by the applications, with much less risk to the attacker than physical attacks. Such web-based attacks make use of a range of modern techniques-such as structured query language injection (SQLi), cross-site scripting, and data tampering-to achieve their aims. Among them, SQLi is the most popular and vulnerable attack, which can be performed in one of two ways; either by an outsider of an organization (known as the outside attacker) or by an insider with a good knowledge of the system with proper administrative rights (known as the inside attacker). An inside attacker, in contrast to an outsider, can take down the system easily and pose a significant challenge to any organization, and therefore needs to be identified in advance to mitigate the possible consequences. Blockchain-based technique is an efficient approach to detect and mitigate SQLi attacks and is widely used these days. Thus, in this study, a hybrid method is proposed that combines a SQL query matching technique (SQLMT) and a standard blockchain framework to detect SQLi attacks created by insiders. The results obtained by the proposed hybrid method through computational experiments are further validated using standard web validation tools.
This document summarizes vulnerabilities in web applications and methods to protect against them. It discusses how vulnerabilities can occur from issues like format string exploits, SQL injection, and cross-site scripting. The document also describes different approaches to testing for vulnerabilities, including white-box and black-box testing. Additionally, it analyzes vulnerability information from various organization's lists of top vulnerability categories to provide a comparative overview. The goal is to help organizations identify and address vulnerabilities in their web applications.
This document discusses 6 different thesis abstracts on topics related to IT security:
1) The design and implementation of an environment to support security assessment method development. This includes a database solution to assist developers.
2) A risk analysis of an RFID system used for logistics that identifies vehicles. The analysis examines the RFID communication and database transmission security and risks.
3) Key topics for a database security course, including technologies, access control, vulnerabilities, privacy, and secure database models.
4) A case-based reasoning approach to understand constraints in information models written in EXPRESS, representing constraints at a higher level of abstraction.
5) The benefits of a consolidated network security solution over point
A Review paper on Securing PHP based websites From Web Application Vulnerabil...Editor IJMTER
In today’s Era, Web applications are one of the most part ubiquitous platforms for
information sharing and services over Internet which play significant role in individual life as well
as in any country’s growth. Web applications have gone through a very rapid Growth As they are
increasingly used for the financial organization, government, hospitality and many critical services.
Web applications become a popular and precious target for security attacks. at the present time,
billions of transactions are done online through net banking, online shopping, online billing and
many more. Even though these applications are used by lots of people modern web applications
often implements the complex structure requires for user to carry out actions in given order, in
many cases the security level is too low, which makes them vulnerable to get compromised. Even
though a large number of techniques have been developed to build up web applications and
mitigate the attacks toward web applications, there is little effort constant to drawing relations
among these techniques and building a big picture of web application security(WAS) research. In
this paper, we present a survey on various types of web application vulnerabilities(WAV).
PREDICTIVE CYBER SECURITY ANALYTICS FRAMEWORK: A NONHOMOGENOUS MARKOV MODEL F...cscpconf
Numerous security metrics have been proposed in the past for protecting computer networks.
However we still lack effective techniques to accurately measure the predictive security risk of
an enterprise taking into account the dynamic attributes associated with vulnerabilities that can
change over time. In this paper we present a stochastic security framework for obtaining
quantitative measures of security using attack graphs. Our model is novel as existing research
in attack graph analysis do not consider the temporal aspects associated with the
vulnerabilities, such as the availability of exploits and patches which can affect the overall
network security based on how the vulnerabilities are interconnected and leveraged to
compromise the system. Gaining a better understanding of the relationship between
vulnerabilities and their lifecycle events can provide security practitioners a better
understanding of their state of security. In order to have a more realistic representation of how
the security state of the network would vary over time, a nonhomogeneous model is developed
which incorporates a time dependent covariate, namely the vulnerability age. The daily
transition-probability matrices are estimated using Frei's Vulnerability Lifecycle model. We
also leverage the trusted CVSS metric domain to analyze how the total exploitability and impact
measures evolve over a time period for a given network.
Similar to A Study of Database Protection Techniques (20)
This document presents a study that uses linear regression to predict university freshmen's academic performance (GPA) based on their scores on the Joint Matriculation Examination (JME). The study finds a weak positive correlation (R=0.137) between GPA and JME scores, with the regression model only explaining 1.9% of variability in GPA. Statistical tests show no significant relationship between JME score and university GPA (p>0.05). The study concludes that JME score is not a strong predictor of freshmen academic performance.
This document describes a school bus tracking and security system that uses face recognition, GPS, and notification technologies. The system uses a camera to identify students as they board and exit the bus. A GPS module tracks the bus location and uploads coordinates to a database. Parents and school administrators can access this information through a mobile app to track students. When a student's face is recognized, a notification is sent to the parents. The system aims to increase student safety by monitoring their locations and notifying parents when they enter or exit the bus.
BigBasket encashing the Demonetisation: A big opportunityIJSRED
1. BigBasket is India's largest online grocery retailer, launched in 2011 when online grocery shopping was still nascent.
2. During India's 2016 demonetization, when cash was scarce, online grocery saw a major boost as consumers turned to sites like BigBasket for contactless digital payments.
3. However, BigBasket faced challenges in meeting consumer expectations for quick delivery while expanding partnerships with local vendors for fresh produce during this surge in demand.
Quantitative and Qualitative Analysis of Plant Leaf DiseaseIJSRED
This document discusses a technique for detecting plant leaf diseases using image processing. It begins with an introduction to plant pathology and the importance of identifying plant diseases. Common plant leaf diseases like Alternaria Alternata, Anthracnose, Bacterial blight, and Cercospora Leaf Spot are described along with their symptoms. The existing methods of disease identification are discussed. The proposed method uses various image processing techniques like filtering, histogram equalization, k-means clustering, and Gray Level Co-occurrence Matrix (GLCM) feature extraction to detect diseases. Image quality is then assessed to identify the affected regions of the leaf.
DC Fast Charger and Battery Management System for Electric VehiclesIJSRED
This document discusses the development of a DC fast charger and battery management system for electric vehicles. It aims to reduce charging times for EVs by designing an efficient charging mechanism. A PIC microcontroller controls the charging voltage and a battery management system monitors battery temperature, voltage, current and provides notifications. The system uses a step-down transformer, rectifier, voltage regulators and temperature sensor to charge lithium-ion batteries safely and quickly, while the battery management system protects the batteries from overcharging or overheating. Faster charging times through more charging stations could encourage greater adoption of electric vehicles.
France has experienced steady economic growth through policies that develop human capital and innovation. It has a highly organized education system that has increased enrollments over time, particularly in tertiary education. France also invests heavily in research and development, ranking highly in patents and innovative organizations. Infrastructure investment has also increased tangible capital stock. Additionally, factors like political stability, rule of law, and low corruption create an environment conducive to business investment and growth. Major events like the French Revolution helped shape France culturally, legally and technologically in ways that still influence its growth path today.
This document describes an acquisition system designed to make the examination process more efficient. The system uses a Raspberry Pi to control various hardware components including an RFID reader, rack and pinion assembly, and motor. It is intended to reduce the time and effort required of staff to distribute exam materials by automating the process. When examiners scan their RFID tags, the system verifies their identity and allows them to retrieve the appropriate exam bundles via a motorized rack and pinion assembly. The goal is to minimize manual labor and speed up exam distribution using an automated hardware and software solution controlled by a Raspberry Pi microcontroller.
Parallelization of Graceful Labeling Using Open MPIJSRED
This document summarizes research on parallelizing the graceful graph labeling problem using OpenMP on multi-core processors. It introduces the concepts of parallelization, multi-core architecture, and OpenMP. An algorithm is designed to parallelize graceful labeling by distributing graph vertices across processor cores. Execution time and speedup are measured for graphs of increasing size, showing improved speedup and reduced time with parallelization. Results show consistent performance gains as graph size increases due to better utilization of the multi-core architecture.
Study of Phenotypic Plasticity of Fruits of Luffa Acutangula Var. AmaraIJSRED
This study examines the phenotypic plasticity of fruits in the plant Luffa acutangula var. amara across different locations in Sindhudurg district, Maharashtra, India. The study found that the plant exhibited plasticity in growth cycle, flowering season, leaf shape, and fruit size depending on location. Maximum fruit weights and sizes were recorded at Talebazar village, while minimum sizes were found at Dahibav village. The variation in fruit morphology is an adaptation to the different environmental conditions at each site.
Understanding Architecture of Internet of ThingsIJSRED
The document discusses the architecture of the Internet of Things (IoT). It begins by introducing IoT and its key components. It then discusses three traditional IoT architectures: (1) a three-layer architecture consisting of a perception, network and application layer; (2) the TCP/IP four-layer model; and (3) the Telecommunications Management Network's five-layer logical layered architecture. The document proposes a new five-layer IoT architecture combining aspects of these models. The five layers are the business, application, processing, transport and perception layers. The perception layer collects data via sensors while the business layer manages the overall enterprise.
This document describes a project report submitted by three students for their bachelor's degree. The report outlines the development of a smart shopping cart system that utilizes RFID and Zigbee technologies. The smart cart is intended to enhance the shopping experience for customers by automatically billing items as they are added to the cart, providing real-time stock levels, and reducing checkout times. The system aims to benefit both customers through a more personalized shopping experience and retailers by improving stock management and reducing shoplifting. The document includes sections on requirements, system design, implementation, results and discussion, and conclusions.
An Emperical Study of Learning How Soft Skills is Essential for Management St...IJSRED
This document discusses an empirical study on the importance of soft skills for management students' careers. It finds that while hard skills and academic performance were once prioritized by employers, soft skills like communication, teamwork, and emotional intelligence are now essential for success. The study surveyed 50 management students and faculty in Bangalore to understand how well soft skills training is incorporated and its benefits. It determined that soft skills like communication are crucial as they influence interactions and job performance. However, older teaching methods do not sufficiently develop these skills. Integrating soft skills training into courses could better prepare students for today's work challenges.
The document describes a proposed smart canteen management system that uses various technologies like a web application, barcode scanner, and thermal printer to automate the food ordering process. The system aims to reduce wait times for students and avoid food wastage by allowing online ordering and monitoring stock. A barcode scanner will be used to identify students during ordering and payment. Thermal printers will generate receipts. The system is expected to reduce workload for staff and provide detailed sales reports for management.
This document discusses Gandhi's concept of trusteeship as an alternative economic system. It summarizes that Gandhi did not distinguish between economics and ethics, and based trusteeship on religious ideas like non-possession and truth as well as Western ideas like stewardship. Trusteeship aimed to persuade wealthy property owners to hold wealth in trust for the benefit of society rather than personal gain. It was meant as a non-violent alternative to capitalism and communism that eliminated class conflict through cooperation and trust between rich and poor. The document provides background on the philosophical and religious influences on Gandhi's views before explaining the key aspects of his theory of trusteeship.
Impacts of a New Spatial Variable on a Black Hole Metric SolutionIJSRED
This document discusses the impacts of introducing a new spatial variable in black hole metrics. It begins by summarizing Einstein and Rosen's 1935 paper which introduced a variable ρ = r - 2M in the Schwarzschild metric to remove the singularity. The document then introduces a similar new variable p = r - 2√M and analyzes how this impacts the Schwarzschild metric. Specifically, it notes that this new variable allows for negative radii values and multiple asymptotic regions beyond just two, introducing concepts of probability and imaginary spatial coordinates. Overall, the document explores how different mathematical variables can impact theoretical physics concepts like wormholes.
A Study to Assess the Effectiveness of Planned Teaching Programme on Knowledg...IJSRED
This document summarizes a study that assessed the effectiveness of a planned teaching program on mothers' knowledge of preventing acute respiratory infections in children under 5. 50 mothers were surveyed before and after the program. Before, 36% had moderate knowledge, 62% had inadequate knowledge, and 2% had adequate knowledge. After, 34% had moderate knowledge, 0% had inadequate knowledge, and 66% had adequate knowledge, showing the program improved mothers' knowledge. The study found no significant association between mothers' knowledge and factors like age, education, or family type.
This document describes a proposed ingenuous Trafalgar contrivition system to improve traffic flow and emergency vehicle access. The system uses embedded technologies like a Raspberry Pi, RF transmitter and receiver, and an Android app. When an emergency vehicle is detected approaching a traffic light, the system will open the lights on its path without disrupting other signals. The app will also help identify hit-and-run vehicles through a brief tracking period. The goal is to reduce traffic congestion and response times to save lives.
This document discusses a proposed system called the Farmer's Analytical Assistant, which aims to help farmers in India maximize crop yields through predictive analysis and recommendations. It analyzes agricultural data on factors like soil properties, rainfall, and past crop performance using machine learning techniques to predict optimal crops for different regions based on the environmental conditions. The proposed system would allow farmers to input local data, receive personalized yield predictions and crop suggestions, and get advice from experts online. The methodology section describes how climate/rainfall and soil data is collected and analyzed using machine learning models to provide crop recommendations. The goal is to improve upon traditional crop selection methods and help increase farmers' incomes.
Functions of Forensic Engineering Investigator in IndiaIJSRED
Forensic engineering involves applying engineering principles and methodologies to answer legal questions, especially regarding accidents and failures. A forensic engineer investigates failures through failure analysis and root cause analysis to determine how and why something failed. The engineer must be familiar with relevant codes and standards, understand eyewitness testimony, apply the scientific method to reconstruct events, and report findings clearly to assist courts. A forensic engineering investigation follows the scientific method to methodically analyze evidence and test hypotheses to determine the cause and circumstances of a failure or accident.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.