Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention
Concepts, Techniques, and Tools

by Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita

  • Publisher : Springer
  • Release : 2017-09-19
  • Pages : 263
  • ISBN : 9783319651866
  • Language : En, Es, Fr & De
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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks, detailing types of anomalies, network vulnerabilities, and a taxonomy of network attacks; describes a systematic approach to generating large network intrusion datasets, and reviews existing synthetic, benchmark, and real-life datasets; provides a detailed study of network anomaly detection techniques and systems under six different categories: statistical, classification, knowledge-base, cluster and outlier detection, soft computing, and combination learners; examines alert management and anomaly prevention techniques, including alert preprocessing, alert correlation, and alert post-processing; presents a hands-on approach to developing network traffic monitoring and analysis tools, together with a survey of existing tools; discusses various evaluation criteria and metrics, covering issues of accuracy, performance, completeness, timeliness, reliability, and quality; reviews open issues and challenges in network traffic anomaly detection and prevention. This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference.

Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention
Concepts, Techniques, and Tools

by Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita

  • Publisher : Springer
  • Release : 2017-09-03
  • Pages : 263
  • ISBN : 3319651889
  • Language : En, Es, Fr & De
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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks, detailing types of anomalies, network vulnerabilities, and a taxonomy of network attacks; describes a systematic approach to generating large network intrusion datasets, and reviews existing synthetic, benchmark, and real-life datasets; provides a detailed study of network anomaly detection techniques and systems under six different categories: statistical, classification, knowledge-base, cluster and outlier detection, soft computing, and combination learners; examines alert management and anomaly prevention techniques, including alert preprocessing, alert correlation, and alert post-processing; presents a hands-on approach to developing network traffic monitoring and analysis tools, together with a survey of existing tools; discusses various evaluation criteria and metrics, covering issues of accuracy, performance, completeness, timeliness, reliability, and quality; reviews open issues and challenges in network traffic anomaly detection and prevention. This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference.

Anomaly Detection in Network Traffic

Anomaly Detection in Network Traffic
A Statistical Approach ; Flood and Flash Crowd Anomaly in Network Traffic

by Anup Bhange,Manmeet Kaur Marhas

  • Publisher : LAP Lambert Academic Publishing
  • Release : 2012
  • Pages : 92
  • ISBN : 9783659297632
  • Language : En, Es, Fr & De
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A worldwide Internet usage growth rate of 380% larger than the period from 2000, the year of the dot-com bubble burst, until present indicates that Internet technology has become a foundation of our daily life. In the same period, cyber-crime has seen an incredible that makes sophisticated protection device for computers and networks an absolute necessity. Firewalls as the major defense of the last decade do not give sufficient protection anymore. This fact has given rise to the expansion of intrusion detection and prevention systems. Traditional intrusion detection systems are hasty in the sense that they use a set of signatures, which raise at the same rate as new technique are discovered, to identify malicious traffic patterns. Anomaly detection systems are another branch of intrusion detection systems that act more proactively. They get a model of the normal system performance and issue alerts whenever the behavior changes; making an appropriate assumption that such changes are frequently caused by malicious or disruptive events. Anomaly detection has been a ground of exhaustive research over the last years as it poses several challenging problems.

Network Intrusion Detection and Prevention

Network Intrusion Detection and Prevention
Concepts and Techniques

by Ali A. Ghorbani,Wei Lu,Mahbod Tavallaee

  • Publisher : Springer Science & Business Media
  • Release : 2009-10-10
  • Pages : 216
  • ISBN : 0387887717
  • Language : En, Es, Fr & De
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Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.

Network Anomaly Detection

Network Anomaly Detection
A Machine Learning Perspective

by Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

  • Publisher : CRC Press
  • Release : 2013-06-18
  • Pages : 366
  • ISBN : 1466582081
  • Language : En, Es, Fr & De
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With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion. In this book, you’ll learn about: Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance, completeness, timeliness, stability, interoperability, reliability, and other dynamic aspects of a network anomaly detection system Practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating detection performance Important unresolved issues and research challenges that need to be overcome to provide better protection for networks Examining numerous attacks in detail, the authors look at the tools that intruders use and show how to use this knowledge to protect networks. The book also provides material for hands-on development, so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems.

The State of the Art in Intrusion Prevention and Detection

The State of the Art in Intrusion Prevention and Detection
A Book

by Al-Sakib Khan Pathan

  • Publisher : CRC Press
  • Release : 2014-01-29
  • Pages : 514
  • ISBN : 1482203510
  • Language : En, Es, Fr & De
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The State of the Art in Intrusion Prevention and Detection analyzes the latest trends and issues surrounding intrusion detection systems in computer networks, especially in communications networks. Its broad scope of coverage includes wired, wireless, and mobile networks; next-generation converged networks; and intrusion in social networks. Presenting cutting-edge research, the book presents novel schemes for intrusion detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based techniques. It also includes information on physical intrusion in wired and wireless networks and agent-based intrusion surveillance, detection, and prevention. The book contains 19 chapters written by experts from 12 different countries that provide a truly global perspective. The text begins by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and the basics of outlier detection. It talks about different kinds of IDSs for different infrastructures and considers new and emerging technologies such as smart grids, cyber physical systems, cloud computing, and hardware techniques for high performance intrusion detection. The book covers artificial intelligence-related intrusion detection techniques and explores intrusion tackling mechanisms for various wireless systems and networks, including wireless sensor networks, WiFi, and wireless automation systems. Containing some chapters written in a tutorial style, this book is an ideal reference for graduate students, professionals, and researchers working in the field of computer and network security.

Managing Information Security

Managing Information Security
Chapter 5. Intrusion Prevention and Detection Systems

by Christopher Day

  • Publisher : Elsevier Inc. Chapters
  • Release : 2013-08-21
  • Pages : 372
  • ISBN : 0128073918
  • Language : En, Es, Fr & De
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With the increasing importance of information systems in today’s complex and global economy, it has become mission and business critical to defend those information systems from attack and compromise by any number of adversaries. Intrusion prevention and detection systems are critical components in the defender’s arsenal and take on a number of different forms. Formally, intrusion detection systems (IDS) can be defined as “software or hardware systems that automate the process of monitoring the events occurring in a computer system or network, analyzing them for signs of security problems” [1]. Intrusion prevention systems (IPS) are those that attempt to actually stop an active attack or security problem. While there are many IDS and IPS products on the market today, often sold as self-contained, network attached computer appliances, truly effective intrusion detection and prevention is achieved when viewed as a process coupled with layers of appropriate technologies and products. In this chapter, we will discuss the nature of computer system intrusions, those who commit these attacks, and the various technologies that can be utilized to detect and prevent them.

Research Anthology on Combating Denial-of-Service Attacks

Research Anthology on Combating Denial-of-Service Attacks
A Book

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2020-08-31
  • Pages : 655
  • ISBN : 1799853497
  • Language : En, Es, Fr & De
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Our world is increasingly driven by sophisticated networks of advanced computing technology, and the basic operation of everyday society is becoming increasingly vulnerable to these networks’ shortcomings. The implementation and upkeep of a strong network defense is a substantial challenge, beset not only by economic disincentives but also by an inherent logistical bias that grants advantage to attackers. Research Anthology on Combating Denial-of-Service Attacks examines the latest research on the development of intrusion detection systems and best practices for preventing and combatting cyber-attacks intended to disrupt business and user experience. Highlighting a range of topics such as network administration, application-layer protocols, and malware detection, this publication is an ideal reference source for cybersecurity professionals, IT specialists, policymakers, forensic analysts, technology developers, security administrators, academicians, researchers, and students.

Context-Aware Systems and Applications, and Nature of Computation and Communication

Context-Aware Systems and Applications, and Nature of Computation and Communication
9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26-27, 2020, Proceedings

by Phan Cong Vinh,Abdur Rakib

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 339
  • ISBN : 3030671011
  • Language : En, Es, Fr & De
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This book constitutes the refereed post-conference proceedings of the International Conferences ICCASA and ICTCC 2020, held in November 2020 in Thai Nguyen, Vietnam. The 27 revised full papers presented were carefully selected from 68 submissions. The papers of ICCASA cover a wide spectrum in the area of context-aware-systems. CAS is characterized by its self- facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication.

Intelligent Distributed Computing X

Intelligent Distributed Computing X
Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016

by Costin Badica,Amal El Fallah Seghrouchni,Aurélie Beynier,David Camacho,Cédric Herpson,Koen Hindriks,Paulo Novais

  • Publisher : Springer
  • Release : 2016-10-07
  • Pages : 248
  • ISBN : 3319488295
  • Language : En, Es, Fr & De
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This book presents the combined peer-reviewed proceedings of the tenth International Symposium on Intelligent Distributed Computing (IDC’2016), which was held in Paris, France from October 10th to 12th, 2016. The 23 contributions address a range of topics related to theory and application of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

Cyber-Physical Security for Critical Infrastructures Protection

Cyber-Physical Security for Critical Infrastructures Protection
First International Workshop, CPS4CIP 2020, Guildford, UK, September 18, 2020, Revised Selected Papers

by Habtamu Abie,Silvio Ranise,Luca Verderame,Enrico Cambiaso,Rita Ugarelli,Gabriele Giunta,Isabel Praça,Federica Battisti

  • Publisher : Springer Nature
  • Release : 2021-03-21
  • Pages : 225
  • ISBN : 3030697819
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020. The 14 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections named: security threat intelligence; data anomaly detection: predict and prevent; computer vision and dataset for security; security management and governance; and impact propagation and power traffic analysis. The book contains 6 chapters which are available open access under a CC-BY license.

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection
12th International Symposium, RAID 2009, Saint-Malo, France, September 23-25, 2009, Proceedings

by Engin Kirda,Somesh Jha,Davide Balzarotti

  • Publisher : Springer Science & Business Media
  • Release : 2009-09-11
  • Pages : 384
  • ISBN : 3642043410
  • Language : En, Es, Fr & De
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On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 12th International Symposium on Recent Advances in Intrusion Detection systems (RAID 2009),which took place in Saint-Malo,France, during September 23–25. As in the past, the symposium brought together leading - searchers and practitioners from academia, government, and industry to discuss intrusion detection research and practice. There were six main sessions prese- ingfullresearchpapersonanomalyandspeci?cation-basedapproaches,malware detection and prevention, network and host intrusion detection and prevention, intrusion detection for mobile devices, and high-performance intrusion det- tion. Furthermore, there was a poster session on emerging research areas and case studies. The RAID 2009ProgramCommittee received59 full paper submissionsfrom all over the world. All submissions were carefully reviewed by independent - viewers on the basis of space, topic, technical assessment, and overall balance. The ?nal selection took place at the Program Committee meeting on May 21 in Oakland, California. In all, 17 papers were selected for presentation and p- lication in the conference proceedings. As a continued feature, the symposium accepted submissions for poster presentations which have been published as - tended abstracts, reporting early-stage research, demonstration of applications, or case studies. Thirty posters were submitted for a numerical review by an independent, three-person sub-committee of the Program Committee based on novelty, description, and evaluation. The sub-committee recommended the - ceptance of 16 of these posters for presentation and publication. The success of RAID 2009 depended on the joint e?ort of many people.

Applying Methods of Scientific Inquiry Into Intelligence, Security, and Counterterrorism

Applying Methods of Scientific Inquiry Into Intelligence, Security, and Counterterrorism
A Book

by Sari, Arif

  • Publisher : IGI Global
  • Release : 2019-05-31
  • Pages : 396
  • ISBN : 1522589783
  • Language : En, Es, Fr & De
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Interdisciplinary and multidisciplinary research is slowly yet steadily revolutionizing traditional education. However, multidisciplinary research can and will also improve the extent to which a country can protect its critical and vital assets. Applying Methods of Scientific Inquiry Into Intelligence, Security, and Counterterrorism is an essential scholarly publication that provides personnel directly working in the fields of intelligence, law enforcement, and science with the opportunity to understand the multidisciplinary nature of intelligence and science in order to improve current intelligence activities and contribute to the protection of the nation. Each chapter of the book discusses various components of science that should be applied to the intelligence arena. Featuring coverage on a range of topics including cybersecurity, economics, and political strategy, this book is ideal for law enforcement, intelligence and security practitioners, students, educators, and researchers.

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection
11th International Symposium, RAID 2008, Cambridge, MA, USA, September 15-17, 2008, Proceedings

by Richard Lippmann,Engin Kirda,Ari Trachtenberg

  • Publisher : Springer
  • Release : 2008-09-18
  • Pages : 424
  • ISBN : 3540874038
  • Language : En, Es, Fr & De
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On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008), which took place in Cambridge, Massachusetts, USA on September 15–17. The symposium brought together leading researchers and practitioners from academia, government and industry to discuss intrusion detection research and practice. There were six main sessions presenting full-?edged research papers (rootkit prevention, malware detection and prevention, high performance - trusion and evasion, web application testing and evasion, alert correlation and worm detection, and anomaly detection and network tra?c analysis), a session ofpostersonemergingresearchareasandcasestudies,andtwopaneldiscussions (“Government Investments: Successes, Failures and the Future” and “Life after Antivirus - What Does the Future Hold?”). The RAID 2008 Program Committee received 80 paper submissions from all over the world. All submissions were carefully reviewed by at least three independent reviewers on the basis of space, topic, technical assessment, and overallbalance.FinalselectiontookplaceattheProgramCommitteemeetingon May 23rd in Cambridge, MA. Twenty papers were selected for presentation and publication in the conference proceedings, and four papers were recommended for resubmission as poster presentations. As a new feature this year, the symposium accepted submissions for poster presentations,whichhavebeen publishedas extendedabstracts,reportingear- stageresearch,demonstrationofapplications,orcasestudies.Thirty-nineposters were submitted for a numerical review by an independent, three-person s- committee of the Program Committee based on novelty, description, and ev- uation. The subcommittee chose to recommend the acceptance of 16 of these posters for presentation and publication.

Complex, Intelligent and Software Intensive Systems

Complex, Intelligent and Software Intensive Systems
Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021)

by Leonard Barolli,Kangbin Yim,Tomoya Enokido

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 788
  • ISBN : 3030797252
  • Language : En, Es, Fr & De
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This book includes the proceedings of the 15th International Conference on Complex, Intelligent, and Software Intensive Systems, which took place in Asan, Korea, on July 1-3, 2021. Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, and other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems, and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations build a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is very important factor for the future development and innovation of software intensive and complex systems. The aim of the book is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: Software intensive systems, complex systems, and intelligent systems.

Session-based Intrusion Detection System to Map Anomalous Network Traffic

Session-based Intrusion Detection System to Map Anomalous Network Traffic
A Book

by Bruce D. Caulkins

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 140
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computer crime is a large problem (CSI, 2004; Kabay, 2001a; Kabay, 2001b). Security managers have a variety of tools at their disposal - firewalls, Intrusion Detection Systems (IDSs), encryption, authentication, and other hardware and software solutions to combat computer crime. Many IDS variants exist which allow security managers and engineers to identify attack network packets primarily through the use of signature detection; i.e., the IDS recognizes attack packets due to their well-known "fingerprints" or signatures as those packets cross the network’s gateway threshold. On the other hand, anomaly-based ID systems determine what is normal traffic within a network and reports abnormal traffic behavior. This paper will describe a methodology towards developing a more-robust Intrusion Detection System through the use of data-mining techniques and anomaly detection. These data-mining techniques will dynamically model what a normal network should look like and reduce the false positive and false negative alarm rates in the process. We will use classification-tree techniques to accurately predict probable attack sessions. Overall, our goal is to model network traffic into network sessions and identify those network sessions that have a high-probability of being an attack and can be labeled as a "suspect session." Subsequently, we will use these techniques inclusive of signature detection methods, as they will be used in concert with known signatures and patterns in order to present a better model for detection and protection of networks and systems.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I

by Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis

  • Publisher : Springer Nature
  • Release : 2020-05-29
  • Pages : 466
  • ISBN : 3030491617
  • Language : En, Es, Fr & De
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This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.

Computer and Information Security Handbook

Computer and Information Security Handbook
A Book

by John R. Vacca

  • Publisher : Newnes
  • Release : 2012-11-05
  • Pages : 1200
  • ISBN : 0123946123
  • Language : En, Es, Fr & De
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The second edition of this comprehensive handbook of computer and information security provides the most complete view of computer security and privacy available. It offers in-depth coverage of security theory, technology, and practice as they relate to established technologies as well as recent advances. It explores practical solutions to many security issues. Individual chapters are authored by leading experts in the field and address the immediate and long-term challenges in the authors’ respective areas of expertise. The book is organized into 10 parts comprised of 70 contributed chapters by leading experts in the areas of networking and systems security, information management, cyber warfare and security, encryption technology, privacy, data storage, physical security, and a host of advanced security topics. New to this edition are chapters on intrusion detection, securing the cloud, securing web apps, ethical hacking, cyber forensics, physical security, disaster recovery, cyber attack deterrence, and more. Chapters by leaders in the field on theory and practice of computer and information security technology, allowing the reader to develop a new level of technical expertise Comprehensive and up-to-date coverage of security issues allows the reader to remain current and fully informed from multiple viewpoints Presents methods of analysis and problem-solving techniques, enhancing the reader's grasp of the material and ability to implement practical solutions

Networking 2006

Networking 2006
Networking Technologies, Services, and Protocols, Performance of Computer and Communication Networks, Mobile and Wireless Communications Systems : 5th International IFIP-TC6 Networking Conference, Coimbra, Portugal, May 15-19, 2006 : Proceedings

by Fernando Boavida,Thomas Plagemann,Burkhard Stiller,Edmundo Monteiro,Cedric Westphal

  • Publisher : Springer Science & Business Media
  • Release : 2006-05-09
  • Pages : 1276
  • ISBN : 3540341927
  • Language : En, Es, Fr & De
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Here are the refereed proceedings of the 5th International IFIP-TC6 Networking Conference, NETWORKING 2006. The 88 revised full papers and 31 poster papers are organized in topical sections on caching and content management, mobile ad-hoc networks, mobility/handoff, monitoring/measurements, multicast, multimedia, optical networks, peer-to-peer, resource management and QoS, routing, topology and location awareness, traffic engineering, transport protocols, wireless networks, and wireless sensor networks.

Network Anomaly Detection

Network Anomaly Detection
A Book

by Jugal Kalita

  • Publisher : Unknown Publisher
  • Release : 2013
  • Pages : 366
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion. In this book, you'll learn about: Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance, completeness, timeliness, stability, interoperability, reliability, and other dynamic aspects of a network anomaly detection system Practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating detection performance Important unresolved issues and research challenges that need to be overcome to provide better protection for networks Examining numerous attacks in detail, the authors look at the tools that intruders use and show how to use this knowledge to protect networks. The book also provides material for hands-on development, so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems.