Mobile Ad hoc Networks (MANETs) are wireless networks consisted of mobile free nodes that can move anywhere at any time without the need to any fixed infrastructure or any centralized administration. In this category of networks existing nodes must rely on each other to play the role of routers or switches instead of using central ones. The self-organized nature of such environments made MANETs vulnerable against many security threats. As a result, providing security requirements in MANETs is one of the most interesting challenges in such a network. In this group of networks, the use of cryptographic solutions is one of the most interesting security issues. The importance of this scientific area in MANETs is more drastic by considering that mentioned schemes must be lightweight enough to be appropriate for resource constrained platforms in such environment. This paper has tried to represent the position of cryptographic issues in MANETs. Moreover, security issues in mobile Ad hoc networks beside of different classes of public key cryptosystems have been introduced.
Intelligent Network Surveillance Technology for APT Attack DetectionsAM Publications,India
Recently, long-term, advanced cyber-attacks targeting a specific enterprise or organization have been occurring again. These attacks occur over a long period and bypass detection by security systems unlike the existing attack pattern. For such reason, they create problems such as delayed real-time response and detection after damages have already been incurred. This paper introduces the design of technology that applies real-time network traffic monitoring to detect unknown functional cyber-attack on the network. Specifically, the algorithm was verified and evaluated in terms of performance in an actual commercial environment. Cyber-attack detection performance is expected to be improved by enhancing the algorithm and processing large volumes of traffic
Analytical survey of active intrusion detection techniques in mobile ad hoc n...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.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
An Assessment of Intrusion Detection System IDS and Data Set Overview A Compr...ijtsrd
Millions of people worldwide have Internet access today. Intrusion detection technology is a modern wave of information technology monitoring devices to deter malicious activities. Malware development malicious software is a vital problem when it comes to designing intrusion detection systems IDS . The key challenge is to recognize unknown and hidden malware, because malware writers use various evasion techniques to mask information to avoid IDS detection. Malicious attacks have become more sophisticated and Furthermore, threats to security have increased, including a zero day attack on internet users. Through the use of IT in our daily lives, computer security has become critical. Cyber threats are becoming more complex and pose growing challenges when it comes to successful intrusion detection. Failure to prevent invading information, such as data privacy, integrity and availability can undermine the credibility of security services. Specific intrusion detection approaches were proposed in the literature to combat computer security threats. This paper consists of a literature survey of the IDS that uses program algorithms to use specific data collection and forensic techniques in real time. Data mining techniques for cyber research are introduced in support of intrusion detection. Mohammed I. Alghamdi "An Assessment of Intrusion Detection System (IDS) and Data-Set Overview: A Comprehensive Review of Recent Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd35730.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/35730/an-assessment-of-intrusion-detection-system-ids-and-dataset-overview-a-comprehensive-review-of-recent-works/mohammed-i-alghamdi
NETWORK INTRUSION DETECTION AND NODE RECOVERY USING DYNAMIC PATH ROUTINGNishanth Gandhidoss
This document describes a project report submitted for the degree of Bachelor of Technology in Information Technology. The report focuses on network intrusion detection and node recovery using dynamic path routing. It was submitted by three students - Nishanth G., Sudharshan N., and Surya Krishnan R. - to Sri Venkateswara College of Engineering in partial fulfillment of their degree requirements. The document includes sections on acknowledgements, abstract, contents, introduction, literature survey, system design, network topology, network intrusion detection and prevention, node recovery, source anonymity, dynamic path routing, results and discussions, and conclusions. It aims to address privacy and security issues in networks through techniques like encryption, evidence collection, risk assessment
Intrusion detection and anomaly detection system using sequential pattern miningeSAT Journals
Abstract
Nowadays the security methods from password protected access up to firewalls which are used to secure the data as well as the networks from attackers. Several times these types of security methods are not enough to protect data. We can consider the use of Intrusion Detection Systems (IDS) is the one way to secure the data on critical systems. Most of the research work is going on the effectiveness and exactness of the intrusion detection, but these attempts are for the detection of the intrusions at the operating system and network level only. It is unable to detect the unexpected behavior of systems due to malicious transactions in databases. The method used for spotting any interferes on the information in the form of database known as database intrusion detection. It relies on enlisting the execution of a transaction. After that, if the recognized pattern is aside from those regular patterns actual is considered as an intrusion. But the identified problem with this process is that the accuracy algorithm which is used may not identify entire patterns. This type of challenges can affect in two ways. 1) Missing of the database with regular patterns. 2) The detection process neglects some new patterns. Therefore we proposed sequential data mining method by using new Modified Apriori Algorithm. The algorithm upturns the accurateness and rate of pattern detection by the process. The Apriori algorithm with modifications is used in the proposed model.
Keywords — Anomaly Detection, Modified Apriori Algorithm, Misuse detection, Sequential Pattern Mining
Intrusion Detection System (IDS): Anomaly Detection using Outlier Detection A...Drjabez
This document describes a proposed approach for anomaly detection in intrusion detection systems using outlier detection. It begins with background on intrusion detection systems and issues with existing approaches. It then presents the proposed two-stage approach using outlier detection: 1) Training with large normal datasets in a distributed storage environment, and 2) Testing intrusion datasets to compute an error value compared to the trained model. If the error value exceeds a threshold, the test data is flagged as anomalous. Experimental results on network packet datasets demonstrate the approach can effectively identify anomalies.
Comparative Study on Intrusion Detection Systems for Smartphonesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Intelligent Network Surveillance Technology for APT Attack DetectionsAM Publications,India
Recently, long-term, advanced cyber-attacks targeting a specific enterprise or organization have been occurring again. These attacks occur over a long period and bypass detection by security systems unlike the existing attack pattern. For such reason, they create problems such as delayed real-time response and detection after damages have already been incurred. This paper introduces the design of technology that applies real-time network traffic monitoring to detect unknown functional cyber-attack on the network. Specifically, the algorithm was verified and evaluated in terms of performance in an actual commercial environment. Cyber-attack detection performance is expected to be improved by enhancing the algorithm and processing large volumes of traffic
Analytical survey of active intrusion detection techniques in mobile ad hoc n...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.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
An Assessment of Intrusion Detection System IDS and Data Set Overview A Compr...ijtsrd
Millions of people worldwide have Internet access today. Intrusion detection technology is a modern wave of information technology monitoring devices to deter malicious activities. Malware development malicious software is a vital problem when it comes to designing intrusion detection systems IDS . The key challenge is to recognize unknown and hidden malware, because malware writers use various evasion techniques to mask information to avoid IDS detection. Malicious attacks have become more sophisticated and Furthermore, threats to security have increased, including a zero day attack on internet users. Through the use of IT in our daily lives, computer security has become critical. Cyber threats are becoming more complex and pose growing challenges when it comes to successful intrusion detection. Failure to prevent invading information, such as data privacy, integrity and availability can undermine the credibility of security services. Specific intrusion detection approaches were proposed in the literature to combat computer security threats. This paper consists of a literature survey of the IDS that uses program algorithms to use specific data collection and forensic techniques in real time. Data mining techniques for cyber research are introduced in support of intrusion detection. Mohammed I. Alghamdi "An Assessment of Intrusion Detection System (IDS) and Data-Set Overview: A Comprehensive Review of Recent Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd35730.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/35730/an-assessment-of-intrusion-detection-system-ids-and-dataset-overview-a-comprehensive-review-of-recent-works/mohammed-i-alghamdi
NETWORK INTRUSION DETECTION AND NODE RECOVERY USING DYNAMIC PATH ROUTINGNishanth Gandhidoss
This document describes a project report submitted for the degree of Bachelor of Technology in Information Technology. The report focuses on network intrusion detection and node recovery using dynamic path routing. It was submitted by three students - Nishanth G., Sudharshan N., and Surya Krishnan R. - to Sri Venkateswara College of Engineering in partial fulfillment of their degree requirements. The document includes sections on acknowledgements, abstract, contents, introduction, literature survey, system design, network topology, network intrusion detection and prevention, node recovery, source anonymity, dynamic path routing, results and discussions, and conclusions. It aims to address privacy and security issues in networks through techniques like encryption, evidence collection, risk assessment
Intrusion detection and anomaly detection system using sequential pattern miningeSAT Journals
Abstract
Nowadays the security methods from password protected access up to firewalls which are used to secure the data as well as the networks from attackers. Several times these types of security methods are not enough to protect data. We can consider the use of Intrusion Detection Systems (IDS) is the one way to secure the data on critical systems. Most of the research work is going on the effectiveness and exactness of the intrusion detection, but these attempts are for the detection of the intrusions at the operating system and network level only. It is unable to detect the unexpected behavior of systems due to malicious transactions in databases. The method used for spotting any interferes on the information in the form of database known as database intrusion detection. It relies on enlisting the execution of a transaction. After that, if the recognized pattern is aside from those regular patterns actual is considered as an intrusion. But the identified problem with this process is that the accuracy algorithm which is used may not identify entire patterns. This type of challenges can affect in two ways. 1) Missing of the database with regular patterns. 2) The detection process neglects some new patterns. Therefore we proposed sequential data mining method by using new Modified Apriori Algorithm. The algorithm upturns the accurateness and rate of pattern detection by the process. The Apriori algorithm with modifications is used in the proposed model.
Keywords — Anomaly Detection, Modified Apriori Algorithm, Misuse detection, Sequential Pattern Mining
Intrusion Detection System (IDS): Anomaly Detection using Outlier Detection A...Drjabez
This document describes a proposed approach for anomaly detection in intrusion detection systems using outlier detection. It begins with background on intrusion detection systems and issues with existing approaches. It then presents the proposed two-stage approach using outlier detection: 1) Training with large normal datasets in a distributed storage environment, and 2) Testing intrusion datasets to compute an error value compared to the trained model. If the error value exceeds a threshold, the test data is flagged as anomalous. Experimental results on network packet datasets demonstrate the approach can effectively identify anomalies.
Comparative Study on Intrusion Detection Systems for Smartphonesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The Next Generation Cognitive Security Operations Center: Network Flow Forens...Konstantinos Demertzis
A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms.
For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.
Report: Study and Implementation of Advance Intrusion Detection and Preventio...Deepak Mishra
This document discusses building an intrusion detection system that combines network-based and log-based detection. It proposes using the Security Onion distribution and its included tools like Snort, Sguil, Squert and OSSEC. It describes configuring Security Onion sensors to monitor network traffic and logs, storing alerts in databases, and using the management consoles to analyze alerts. The goal is to create a comprehensive security monitoring platform through centralized log management and correlation of network and host-based events.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
A Collaborative Intrusion Detection System for Cloud Computingijsrd.com
Cloud computing is a computing paradigm that shifts drastically from traditional computing architecture. Although this new computing paradigm brings many advantages like utility computing model but the design in not flawless and hence suffers from not only many known computer vulnerabilities but also introduces unique information confidentiality, integrity and availability risks as well due its inherent design paradigm. To provide secure and reliable services in cloud computing environment is an important issue. To counter a variety of attacks, especially large-scale coordinated attacks, a framework of Collaborative Intrusion Detection System (IDS) is proposed. The proposed system could reduce the impact of these kinds of attacks through providing timely notifications about new intrusions to Cloud users' systems. To provide such ability, IDSs in the cloud computing regions both correlate alerts from multiple elementary detectors and exchange knowledge of interconnected Clouds with each other.
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
Cyber Warfare is the current single greatest emerging threat to National Security. Network security has become an essential component of any computer network. As computer networks and systems become ever more fundamental to modern society, concerns about security has become increasingly important. There are a multitude of different applications open source and proprietary available for the protection +-system administrator, to decide on the most suitable format for their purpose requires knowledge of the available safety measures, their features and how they affect the quality of service, as well as the kind of data they will be allowing through un flagged. A majority of methods currently used to ensure the quality of a networks service are signature based. From this information, and details on the specifics of popular applications and their implementation methods, we have carried through the ideas, incorporating our own opinions, to formulate suggestions on how this could be done on a general level. The main objective was to design and develop an Intrusion Detection System. While the minor objectives were to; Design a port scanner to determine potential threats and mitigation techniques to withstand these attacks. Implement the system on a host and Run and test the designed IDS. In this project we set out to develop a Honey Pot IDS System. It would make it easy to listen on a range of ports and emulate a network protocol to track and identify any individuals trying to connect to your system. This IDS will use the following design approaches: Event correlation, Log analysis, Alerting, and policy enforcement. Intrusion Detection Systems (IDSs) attempt to identify unauthorized use, misuse, and abuse of computer systems. In response to the growth in the use and development of IDSs, we have developed a methodology for testing IDSs. The methodology consists of techniques from the field of software testing which we have adapted for the specific purpose of testing IDSs. In this paper, we identify a set of general IDS performance objectives which is the basis for the methodology. We present the details of the methodology, including strategies for test-case selection and specific testing procedures. We include quantitative results from testing experiments on the Network Security Monitor (NSM), an IDS developed at UC Davis. We present an overview of the software platform that we have used to create user-simulation scripts for testing experiments. The platform consists of the UNIX tool expect and enhancements that we have developed, including mechanisms for concurrent scripts and a record-and-replay feature. We also provide background information on intrusions and IDSs to motivate our work.
IoT Network Attack Detection using Supervised Machine LearningCSCJournals
The use of supervised learning algorithms to detect malicious traffic can be valuable in designing intrusion detection systems and ascertaining security risks. The Internet of things (IoT) refers to the billions of physical, electronic devices around the world that are often connected over the Internet. The growth of IoT systems comes at the risk of network attacks such as denial of service (DoS) and spoofing. In this research, we perform various supervised feature selection methods and employ three classifiers on IoT network data. The classifiers predict with high accuracy if the network traffic against the IoT device was malicious or benign. We compare the feature selection methods to arrive at the best that can be used for network intrusion prediction.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and security...Ahmad Sharifi
This document provides an overview of intrusion detection and prevention systems (IDPS). It discusses the types of threats, vulnerabilities, and intrusions that IDPS aim to address. It describes the differences between network-based and host-based IDPS, as well as signature-based and anomaly-based detection methods. The document also outlines some key capabilities of IDPS, such as identifying hosts, operating systems, applications, and network characteristics. It notes limitations of IDPS, including inability to analyze encrypted traffic. Finally, it emphasizes the importance of properly deploying and managing IDPS according to organizational needs and policies as part of a layered defense-in-depth security strategy.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and Security...IOSR Journals
Technical solutions, introduced by policies and implantations are essential requirements of an
information security program. Advanced technologies such as intrusion detection and prevention system (IDPS)
and analysis tools have become prominent in the network environment while they involve with organizations to
enhance the security of their information assets. Scanning and analyzing tools to pinpoint vulnerabilities, holes
in security components, unsecured aspects of the network and deploying of IDPS technology are highlighted.
Security Issues and Challenges in Internet of Things – A ReviewIJERA Editor
The Internet of Things (IoT) alludes to the continually developing system of physical articles that component an
IP address for web availability, and the correspondence that happens between these items and other Web
empowered gadgets and frameworks. The security issues of the Internet of Things (IoT) are straight forwardly
identified with the wide utilization of its framework. IoT securities and enhancing the design and several
elements of this work showcases various security issues with respect to IoT and thinks of solutions for the issues
under the advancements included. Here we are going to do a study of all the security issues existing in the
Internet of Things (IoT) alongside an examination of the protection issues that an end-client might confront as
an outcome of the spread of IoT. Most of the overview is centred around the security emerging out of the data
trade innovations utilized as a part of Internet of Things. As a piece of IoTs, genuine concerns are raised over
access of individual data relating to gadget and individual protection. This review tells about the security and
protection issues of IoT.
Cyber security involves protecting networks, computers, programs, and data from damage, unauthorized access, and impairment. It includes securing physical access to hardware and protecting against network attacks, data and code injection, and misuse by operators. As cyber attacks increase daily, nations face higher risks, so cyber security is a growing priority. Hacking, child pornography, copyright infringement, and other cybercrimes harm people's and nations' security and financial well-being. Effective cyber security incorporates measures across applications, information, networks, and disaster recovery to detect and prevent illegal computer use and ensure confidentiality, integrity, and availability of data. National cyber security policies aim to safeguard information systems and critical infrastructure through public-private cooperation and awareness
The document discusses securing industrial IoT (IIoT) applications and devices. It identifies three main attack surfaces: the application, the device, and the network. To secure the application, it recommends using secure APIs, complex passwords, limiting API calls, and continuous deployment. For devices, it suggests securing the SIM card, physical device, and device software through measures like embedded SIMs, firmware updates, and remote management. Finally, it advises limiting voice, SMS, and data services on networks to reduce vulnerabilities. Overall, the document stresses the importance of prioritizing security for IIoT given the increasing threats to connected industrial systems.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
An Analytical Study on Attacks and Threats in Cyber Security and its Evolving...ijtsrd
In today’s dynamic and technologically advanced world, the Internet has become one of the most innovative and rapidly growing technologies. With its rise, it has also become vulnerable to a significant increase in occurrences of cyber attacks, with detrimental effects. Typically, these cyber attacks are targeted at accessing, manipulating, or damaging confidential data, extracting users money, or extorting an organization’s or user’s private information. Sensitive information, whether intellectual property, financial data, confidential information, or other forms of private data are exposed to unauthorized access or disclosure, which can have adverse consequences. Protecting data has become one of the greatest obstacles today as cyber attacks are constantly escalating. Along with the growth of internet services and the advancement of information technology, the importance of cybersecurity is crucial. Cybersecurity aims to ensure that the security interests of the company and users assets are protected and preserved against relevant cyber threats in the digital world. The data and confidentiality of computing assets pertaining to the network of an organization are protected by cybersecurity. This paper mainly focuses on threats and issues in cybersecurity facing modern technologies. It also focuses on the latest cybersecurity strategies and developments that are transforming the face of cybersecurity. Omkar Veerendra Nikhal "An Analytical Study on Attacks and Threats in Cyber Security and its Evolving Trends on Modern Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38195.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38195/an-analytical-study-on-attacks-and-threats-in-cyber-security-and-its-evolving-trends-on-modern-technologies/omkar-veerendra-nikhal
Survey of apt and other attacks with reliable security schemes in manetijctet
This document summarizes security threats and challenges in mobile ad hoc networks (MANETs). It discusses advanced persistent threats (APTs) which aim to stealthily infiltrate networks to steal data. APTs use techniques like spear phishing and malware to infect systems. Malware types discussed include viruses, worms, trojans, and bots. The document also outlines requirements for securing MANETs against APTs, such as protecting devices and browsers from exploitation. Finally, it analyzes security issues in routing for MANETs and categorizes common routing protocols.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses security issues in mobile ad hoc networks. It outlines several current problems including the lack of secure boundaries and threats from compromised nodes. It also reviews common attack types like impersonation and routing attacks. The document then summarizes security schemes used to address these issues, such as intrusion detection techniques using IDS agents and cluster-based intrusion detection. Specific attacks like wormhole and rush attacks are defined along with defenses like packet leashing and secure neighbor detection.
This document outlines Uttam Ghosh's registration seminar presentation on security issues in mobile ad hoc networks. The presentation will include an introduction to mobile ad hoc networks and why security is difficult in them. It will then review literature on dynamic IP configuration schemes and their security threats. The presentation will conclude with references.
The Next Generation Cognitive Security Operations Center: Network Flow Forens...Konstantinos Demertzis
A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms.
For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.
Report: Study and Implementation of Advance Intrusion Detection and Preventio...Deepak Mishra
This document discusses building an intrusion detection system that combines network-based and log-based detection. It proposes using the Security Onion distribution and its included tools like Snort, Sguil, Squert and OSSEC. It describes configuring Security Onion sensors to monitor network traffic and logs, storing alerts in databases, and using the management consoles to analyze alerts. The goal is to create a comprehensive security monitoring platform through centralized log management and correlation of network and host-based events.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
A Collaborative Intrusion Detection System for Cloud Computingijsrd.com
Cloud computing is a computing paradigm that shifts drastically from traditional computing architecture. Although this new computing paradigm brings many advantages like utility computing model but the design in not flawless and hence suffers from not only many known computer vulnerabilities but also introduces unique information confidentiality, integrity and availability risks as well due its inherent design paradigm. To provide secure and reliable services in cloud computing environment is an important issue. To counter a variety of attacks, especially large-scale coordinated attacks, a framework of Collaborative Intrusion Detection System (IDS) is proposed. The proposed system could reduce the impact of these kinds of attacks through providing timely notifications about new intrusions to Cloud users' systems. To provide such ability, IDSs in the cloud computing regions both correlate alerts from multiple elementary detectors and exchange knowledge of interconnected Clouds with each other.
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
Cyber Warfare is the current single greatest emerging threat to National Security. Network security has become an essential component of any computer network. As computer networks and systems become ever more fundamental to modern society, concerns about security has become increasingly important. There are a multitude of different applications open source and proprietary available for the protection +-system administrator, to decide on the most suitable format for their purpose requires knowledge of the available safety measures, their features and how they affect the quality of service, as well as the kind of data they will be allowing through un flagged. A majority of methods currently used to ensure the quality of a networks service are signature based. From this information, and details on the specifics of popular applications and their implementation methods, we have carried through the ideas, incorporating our own opinions, to formulate suggestions on how this could be done on a general level. The main objective was to design and develop an Intrusion Detection System. While the minor objectives were to; Design a port scanner to determine potential threats and mitigation techniques to withstand these attacks. Implement the system on a host and Run and test the designed IDS. In this project we set out to develop a Honey Pot IDS System. It would make it easy to listen on a range of ports and emulate a network protocol to track and identify any individuals trying to connect to your system. This IDS will use the following design approaches: Event correlation, Log analysis, Alerting, and policy enforcement. Intrusion Detection Systems (IDSs) attempt to identify unauthorized use, misuse, and abuse of computer systems. In response to the growth in the use and development of IDSs, we have developed a methodology for testing IDSs. The methodology consists of techniques from the field of software testing which we have adapted for the specific purpose of testing IDSs. In this paper, we identify a set of general IDS performance objectives which is the basis for the methodology. We present the details of the methodology, including strategies for test-case selection and specific testing procedures. We include quantitative results from testing experiments on the Network Security Monitor (NSM), an IDS developed at UC Davis. We present an overview of the software platform that we have used to create user-simulation scripts for testing experiments. The platform consists of the UNIX tool expect and enhancements that we have developed, including mechanisms for concurrent scripts and a record-and-replay feature. We also provide background information on intrusions and IDSs to motivate our work.
IoT Network Attack Detection using Supervised Machine LearningCSCJournals
The use of supervised learning algorithms to detect malicious traffic can be valuable in designing intrusion detection systems and ascertaining security risks. The Internet of things (IoT) refers to the billions of physical, electronic devices around the world that are often connected over the Internet. The growth of IoT systems comes at the risk of network attacks such as denial of service (DoS) and spoofing. In this research, we perform various supervised feature selection methods and employ three classifiers on IoT network data. The classifiers predict with high accuracy if the network traffic against the IoT device was malicious or benign. We compare the feature selection methods to arrive at the best that can be used for network intrusion prediction.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and security...Ahmad Sharifi
This document provides an overview of intrusion detection and prevention systems (IDPS). It discusses the types of threats, vulnerabilities, and intrusions that IDPS aim to address. It describes the differences between network-based and host-based IDPS, as well as signature-based and anomaly-based detection methods. The document also outlines some key capabilities of IDPS, such as identifying hosts, operating systems, applications, and network characteristics. It notes limitations of IDPS, including inability to analyze encrypted traffic. Finally, it emphasizes the importance of properly deploying and managing IDPS according to organizational needs and policies as part of a layered defense-in-depth security strategy.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and Security...IOSR Journals
Technical solutions, introduced by policies and implantations are essential requirements of an
information security program. Advanced technologies such as intrusion detection and prevention system (IDPS)
and analysis tools have become prominent in the network environment while they involve with organizations to
enhance the security of their information assets. Scanning and analyzing tools to pinpoint vulnerabilities, holes
in security components, unsecured aspects of the network and deploying of IDPS technology are highlighted.
Security Issues and Challenges in Internet of Things – A ReviewIJERA Editor
The Internet of Things (IoT) alludes to the continually developing system of physical articles that component an
IP address for web availability, and the correspondence that happens between these items and other Web
empowered gadgets and frameworks. The security issues of the Internet of Things (IoT) are straight forwardly
identified with the wide utilization of its framework. IoT securities and enhancing the design and several
elements of this work showcases various security issues with respect to IoT and thinks of solutions for the issues
under the advancements included. Here we are going to do a study of all the security issues existing in the
Internet of Things (IoT) alongside an examination of the protection issues that an end-client might confront as
an outcome of the spread of IoT. Most of the overview is centred around the security emerging out of the data
trade innovations utilized as a part of Internet of Things. As a piece of IoTs, genuine concerns are raised over
access of individual data relating to gadget and individual protection. This review tells about the security and
protection issues of IoT.
Cyber security involves protecting networks, computers, programs, and data from damage, unauthorized access, and impairment. It includes securing physical access to hardware and protecting against network attacks, data and code injection, and misuse by operators. As cyber attacks increase daily, nations face higher risks, so cyber security is a growing priority. Hacking, child pornography, copyright infringement, and other cybercrimes harm people's and nations' security and financial well-being. Effective cyber security incorporates measures across applications, information, networks, and disaster recovery to detect and prevent illegal computer use and ensure confidentiality, integrity, and availability of data. National cyber security policies aim to safeguard information systems and critical infrastructure through public-private cooperation and awareness
The document discusses securing industrial IoT (IIoT) applications and devices. It identifies three main attack surfaces: the application, the device, and the network. To secure the application, it recommends using secure APIs, complex passwords, limiting API calls, and continuous deployment. For devices, it suggests securing the SIM card, physical device, and device software through measures like embedded SIMs, firmware updates, and remote management. Finally, it advises limiting voice, SMS, and data services on networks to reduce vulnerabilities. Overall, the document stresses the importance of prioritizing security for IIoT given the increasing threats to connected industrial systems.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
An Analytical Study on Attacks and Threats in Cyber Security and its Evolving...ijtsrd
In today’s dynamic and technologically advanced world, the Internet has become one of the most innovative and rapidly growing technologies. With its rise, it has also become vulnerable to a significant increase in occurrences of cyber attacks, with detrimental effects. Typically, these cyber attacks are targeted at accessing, manipulating, or damaging confidential data, extracting users money, or extorting an organization’s or user’s private information. Sensitive information, whether intellectual property, financial data, confidential information, or other forms of private data are exposed to unauthorized access or disclosure, which can have adverse consequences. Protecting data has become one of the greatest obstacles today as cyber attacks are constantly escalating. Along with the growth of internet services and the advancement of information technology, the importance of cybersecurity is crucial. Cybersecurity aims to ensure that the security interests of the company and users assets are protected and preserved against relevant cyber threats in the digital world. The data and confidentiality of computing assets pertaining to the network of an organization are protected by cybersecurity. This paper mainly focuses on threats and issues in cybersecurity facing modern technologies. It also focuses on the latest cybersecurity strategies and developments that are transforming the face of cybersecurity. Omkar Veerendra Nikhal "An Analytical Study on Attacks and Threats in Cyber Security and its Evolving Trends on Modern Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38195.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38195/an-analytical-study-on-attacks-and-threats-in-cyber-security-and-its-evolving-trends-on-modern-technologies/omkar-veerendra-nikhal
Survey of apt and other attacks with reliable security schemes in manetijctet
This document summarizes security threats and challenges in mobile ad hoc networks (MANETs). It discusses advanced persistent threats (APTs) which aim to stealthily infiltrate networks to steal data. APTs use techniques like spear phishing and malware to infect systems. Malware types discussed include viruses, worms, trojans, and bots. The document also outlines requirements for securing MANETs against APTs, such as protecting devices and browsers from exploitation. Finally, it analyzes security issues in routing for MANETs and categorizes common routing protocols.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses security issues in mobile ad hoc networks. It outlines several current problems including the lack of secure boundaries and threats from compromised nodes. It also reviews common attack types like impersonation and routing attacks. The document then summarizes security schemes used to address these issues, such as intrusion detection techniques using IDS agents and cluster-based intrusion detection. Specific attacks like wormhole and rush attacks are defined along with defenses like packet leashing and secure neighbor detection.
This document outlines Uttam Ghosh's registration seminar presentation on security issues in mobile ad hoc networks. The presentation will include an introduction to mobile ad hoc networks and why security is difficult in them. It will then review literature on dynamic IP configuration schemes and their security threats. The presentation will conclude with references.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Routing and Security Issues for Trust Based Framework in Mobile Ad Hoc Networksiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document discusses mobile ad hoc networks (MANETs) and outlines some key challenges related to routing and security in these networks. It provides background on MANETs, explaining that they are infrastructure-less wireless networks where nodes can freely and dynamically self-organize. It then summarizes some of the main challenges like frequently changing topologies, limited resources of mobile nodes, and security issues like denial of service attacks. The document also gives an overview of different routing protocols for MANETs and requirements for these protocols to address challenges like frequent path breaks and bandwidth constraints. It concludes that comprehensive security solutions are still needed to address both routing and cooperation enforcement issues in these challenging ad hoc network environments.
The document discusses security issues in mobile ad hoc networks (MANETs). It begins by introducing MANETs and noting their vulnerability to attacks due to lack of centralized authority. It then covers security goals, types of attacks (passive vs. active; internal vs. external), examples of passive attacks like eavesdropping and active attacks like jamming and wormholes. The document also discusses security schemes like intrusion detection and secure routing techniques. It concludes by identifying research issues around improving MANET security.
Mobile ad hoc networks (MANETs) are formed spontaneously by wireless devices without any preexisting infrastructure. Nodes in a MANET are free to move and dynamically change the network topology. MANETs have applications in military operations, emergency response, education, and home/office use. Key challenges include dynamic topology, limited resources, and lack of centralized management. Media access control protocols address issues like hidden and exposed terminals. Routing protocols can be proactive (table-based) or reactive (on-demand) to find routes between nodes in the changing network.
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...ijccsa
This document summarizes a research paper on privacy-preserving techniques for IoT data in cloud environments. It introduces two differential privacy algorithms: 1) Generic differential privacy (GenDP) which provides generalized privacy protection for homogeneous and heterogeneous IoT metadata through data portioning. 2) Cluster-based differential privacy which groups similar data into clusters before defining classifiers to validate privacy. The paper evaluates these techniques and finds the cluster-based approach offers better security than customized interactive algorithms while maintaining data utility. Overall, the study presents new differential privacy methods for anonymizing IoT metadata stored in the cloud.
This document is a project report on automated color detection system submitted by Prem Vijay Borse to fulfill the requirements of a diploma in computer engineering. The report includes an introduction outlining the need for computerized network security. It also includes chapters on literature review, existing system analysis, proposed new system design, implementation details, and conclusions. The overall aim is to design a computerized network security system to replace the existing manual process and address issues like fraudulent activities and unauthorized access of data in banks.
EFFECTIVE METHOD FOR MANAGING AUTOMATION AND MONITORING IN MULTI-CLOUD COMPUT...IJNSA Journal
Multi-cloud is an advanced version of cloud computing that allows its users to utilize different cloud systems from several Cloud Service Providers (CSPs) remotely. Although it is a very efficient computing
facility, threat detection, data protection, and vendor lock-in are the major security drawbacks of this infrastructure. These factors act as a catalyst in promoting serious cyber-crimes of the virtual world. Privacy and safety issues of a multi-cloud environment have been overviewed in this research paper. The
objective of this research is to analyze some logical automation and monitoring provisions, such as monitoring Cyber-physical Systems (CPS), home automation, automation in Big Data Infrastructure (BDI), Disaster Recovery (DR), and secret protection. The Results of this research investigation indicate that it is possible to avoid security snags of a multi-cloud interface by adopting these scientific solutions methodically.
This document summarizes security issues related to mobile devices, networks, and communication. It discusses how mobile devices store sensitive data and access various networks, raising security concerns. Issues addressed include unauthorized access of data on lost or stolen devices, insecure communication channels, and vulnerabilities in mobile networks like cellular networks. The document also examines existing security measures and the need for improved solutions to address issues like authentication, encryption, and access control across mobile technologies.
A survey study of title security and privacy in mobile systemsKavita Rastogi
This document summarizes security and privacy issues related to mobile systems. It discusses how mobile systems originally focused on securing phone calls but now must address additional challenges due to lost/stolen devices and user expectations of flexibility. The document then examines authentication techniques, security across different network domains, and technologies like encryption, digital rights management, and trusted computing platforms that aim to enhance mobile security. It concludes that secure information transmission will become increasingly important as mobile technologies continue advancing.
6G Security Challenges And Potential SolutionsKristen Carter
This document discusses security challenges and potential solutions for 6G networks. It begins by outlining new 6G requirements like enhanced ultra-reliable low latency communication that will impact how security is implemented. It then describes new elements of the 6G architecture like intelligent radio and edge intelligence that may introduce new security threats. Next, it examines new applications in 6G like connected autonomous vehicles and how they have varying security needs. It concludes by surveying the security threats posed by key 6G technologies such as artificial intelligence, distributed ledger technology, quantum communication and terahertz bands, and potential solutions to address these threats.
6G Security Challenges And Potential SolutionsWendy Berg
The document discusses security challenges and potential solutions for 6G networks. It outlines how 6G requirements like high bandwidth, low latency, and massive device connectivity will impact security. New 6G technologies like edge intelligence, distributed AI, and quantum communication introduce new attack surfaces. The document surveys security challenges from the 6G architecture, requirements, and applications. It also discusses potential security solutions using technologies like distributed ledger, physical layer security, and quantum security.
A Review On Data Security In Cloud ComputingYolanda Ivey
This document provides a review of approaches for ensuring data security in cloud computing. It summarizes 31 research papers on this topic published between 2007-2014. The key findings are:
1) The majority of approaches (45%) ensured data security through encryption methods like RSA encryption, merging Playfair and Vigenere ciphers with DES, and using SSL encryption.
2) Other common approaches included proposing guidelines (21%) and frameworks (16%) for data security, and using homomorphic tokens (7%) to enable encrypted data comparisons.
3) The approaches were categorized based on the technique used, with encryption being the most frequent, followed by guidelines, frameworks, homomorphic tokens, and other methods like harmonizing
MAR SECURITY: IMPROVED SECURITY MECHANISM FOR EMERGENCY MESSAGES OF VANET USI...IJCNCJournal
Vehicular Ad-hoc network (VANET) is one of the emerging technologies for research community to get various research challenges to construct secured framework for autonomous vehicular communication. The prime concern of this technology is to provide efficient data communication among registered vehicle nodes. The several research ideas are implemented practically to improve overall communication in VANETs by considering security and privacy as major aspects of VANETs. Several mechanisms have been implemented using cryptography algorithms and methodologies. However, these mechanisms provide a solution only for some restricted environments and to limited security threats. Hence, the proposed novel mechanism has been introduced, implemented and tested using key management technique. It provides secured network environment for VANET and its components. Later, this mechanism provides security for data packets of emergency messages using cryptography mechanism. Hence, the proposed novel mechanism is named Group Key Management & Cryptography Schemes (GKMC). The experimental analysis shows significant improvements in the network performance to provide security and privacy for emergency messages. This GKMC mechanism will help the VANET user’s to perform secured emergency message communication in network environment.
Achieving Data Dissemination with Security using FIWARE and Intel Software Gu...Dalton Valadares
This document proposes and evaluates a solution to securely disseminate sensitive IoT data using FIWARE and Intel SGX. The solution uses FIWARE components for authentication and authorization, and introduces a new Key Vault component that uses Intel SGX to securely store and manage encryption keys. Sensitive IoT data from smart meters is encrypted before being sent to the FIWARE Orion Context Broker for processing. Consumers that are SGX applications can decrypt and process the data securely within the SGX enclave. The evaluation shows the solution provides privacy and security guarantees without harming scalability or availability.
Io t security_review_blockchain_solutionsShyam Goyal
This document reviews security issues related to the Internet of Things (IoT) and potential blockchain solutions. It presents a survey of emerging topics in IoT security and blockchain technology. The document maps major IoT security issues to possible solutions and reviews how blockchain could help address challenging security problems in IoT. It also identifies open challenges for IoT security.
Network security is one of the foremost anxieties of the modern time. Over
the previous years, numerous studies have been accompanied on the
intrusion detection system. However, network security is one of the foremost
apprehensions of the modern era this is due to the speedy development and
substantial usage of altered technologies over the past period. The
vulnerabilities of these technologies security have become a main dispute
intrusion detection system is used to classify unapproved access and unusual
attacks over the secured networks. For the implementation of intrusion
detection system different approaches are used machine learning technique
is one of them. In order to comprehend the present station of application of
machine learning techniques for solving the intrusion discovery anomalies in
internet of thing (IoT) based big data this review paper conducted. Total 55
papers are summarized from 2010 and 2021 which were centering on the
manner of the single, hybrid and collaborative classifier design. This review
paper also includes some of the basic information like IoT, big data, and
machine learning approaches are discussed.
Security in MANET based on PKI using fuzzy functionIOSR Journals
This document discusses security issues in mobile ad hoc networks (MANETs) and proposes a security model based on public key infrastructure (PKI) using fuzzy logic. Specifically, it first provides background on MANETs and discusses their key characteristics and security challenges due to their dynamic topology and lack of infrastructure. It then introduces the concept of using PKI and asymmetric encryption with public/private key pairs to distribute session keys between nodes. The proposed algorithm uses fuzzy logic to determine the appropriate length of session keys based on discrimination of different attack types on the network. Experimental results show that the fuzzy-based security approach can enhance MANET security.
1) The document discusses security issues in computer networks and proposes contemporary solutions. It covers topics like cryptography, secure data access, intrusion detection, and secure routing.
2) The literature review discusses previous research on wireless sensor network security including common attacks, requirements, and defenses. It also examines security issues that arise from the unique characteristics of wireless networks.
3) The document proposes that more research is still needed on topics like quantifying security costs and benefits, data integrity, survivability, and security for data-centric wireless sensor networks. A holistic security model is needed that integrates solutions at each network layer.
BIOMETRIC SMARTCARD AUTHENTICATION FOR FOG COMPUTINGIJNSA Journal
In the IoT scenario, things at the edge can create significantly large amounts of data. Fog Computing has recently emerged as the paradigm to address the needs of edge computing in the Internet of Things (IoT) and Industrial Internet of Things (IIoT) applications. In a Fog Computing environment, much of the processing would take place closer to the edge in a router device, rather than having to be transmitted to the Fog. Authentication is an important issue for the security of fog computing since services are offered to massive-scale end users by front fog nodes.Fog computing faces new security and privacy challenges besides those inherited from cloud computing. Authentication helps to ensure and confirms a user's identity. The existing traditional password authentication does not provide enough security for the data and there have been instances when the password-based authentication has been manipulated to gain access into the data. Since the conventional methods such as passwords do not serve the purpose of data security, research worksare focused on biometric user authentication in fog computing environment. In this paper, we present biometric smartcard authentication to protect the fog computing environment.
BIOMETRIC SMARTCARD AUTHENTICATION FOR FOG COMPUTINGIJNSA Journal
In the IoT scenario, things at the edge can create significantly large amounts of data. Fog Computing has recently emerged as the paradigm to address the needs of edge computing in the Internet of Things (IoT) and Industrial Internet of Things (IIoT) applications. In a Fog Computing environment, much of the processing would take place closer to the edge in a router device, rather than having to be transmitted to the Fog. Authentication is an important issue for the security of fog computing since services are offered to massive-scale end users by front fog nodes.Fog computing faces new security and privacy challenges besides those inherited from cloud computing. Authentication helps to ensure and confirms a user's identity. The existing traditional password authentication does not provide enough security for the data and there have been instances when the password-based authentication has been manipulated to gain access into the data. Since the conventional methods such as passwords do not serve the purpose of data security, research worksare focused on biometric user authentication in fog computing environment. In this paper, we present biometric smartcard authentication to protect the fog computing environment.
Survey on Mobile Cloud Computing [MCC], its Security & Future Research Challe...IRJET Journal
This document summarizes a research paper on mobile cloud computing (MCC). It begins with definitions of cloud computing and MCC, describing MCC as incorporating cloud computing resources and services into mobile environments. It then discusses security issues in MCC, categorizing them as mobile threats, cloud threats, and issues related to infrastructure and communication channels. The document proceeds to summarize 17 other research papers on topics like user authentication, open research issues, applications of MCC, and security challenges and solutions. It concludes by outlining the focus of the authors' own research on algorithms and cryptography for addressing security in MCC.
Privacy-aware secured discrete framework in wireless sensor networkIJECEIAES
Rapid expansion of wireless sensor network-internet of things (WSN-IoT) in terms of application and technologies has led to wide research considering efficiency and security aspects. Considering the efficiency approach such as data aggregation along with consensus mechanism has been one of the efficient and secure approaches, however, privacy has been one of major concern and it remains an open issue due to low classification and high misclassification rate. This research work presents the privacy and reliable aware discrete (PRD-aggregation) framework to protect and secure the privacy of the node. It works by initializing the particular variable for each node and defining the threshold; further nodes update their state through the functions, and later consensus is developed among the sensor nodes, which further updates. The novelty of PRD is discretized transmission for efficiency and security. PRD-aggregation offers reliability through efficient termination criteria and avoidance of transmission failure. PRD-aggregation framework is evaluated considering the number of deceptive nodes for securing the node in the network. Furthermore, comparative analysis proves the marginal improvisation in terms of discussed parameter against the existing protocol.
This document provides a detailed syllabus for an Information Security course. It includes 5 units: Introduction, Security Investigation, Security Analysis, Logical Design, and Physical Design. The Introduction unit covers the history of information security and computer security. It defines key concepts like confidentiality, integrity, availability, and the CIA triangle. It also discusses security models and the components of an information system. The other units will cover topics like risk management, access control, security standards, cryptography, and physical security controls.
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