Traffic Anomaly Detection Book

Traffic Anomaly Detection


  • Author : Antonio Cuadra-Sánchez
  • Publisher : Elsevier
  • Release Date : 2015-10-31
  • Genre: Technology & Engineering
  • Pages : 70
  • ISBN 10 : 9780081008072

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Traffic Anomaly Detection Excerpt :

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis) Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information Contains comparative analysis of traffic anomaly detection methods

Network Traffic Anomaly Detection and Prevention Book

Network Traffic Anomaly Detection and Prevention


  • Author : Monowar H. Bhuyan
  • Publisher : Springer
  • Release Date : 2017-09-03
  • Genre: Computers
  • Pages : 263
  • ISBN 10 : 9783319651880

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Network Traffic Anomaly Detection and Prevention Excerpt :

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 Anomaly Detection Book

Network Anomaly Detection


  • Author : Dhruba Kumar Bhattacharyya
  • Publisher : CRC Press
  • Release Date : 2013-06-18
  • Genre: Computers
  • Pages : 366
  • ISBN 10 : 9781466582095

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Network Anomaly Detection Excerpt :

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.

Network Traffic Anomaly Detection and Prevention Book

Network Traffic Anomaly Detection and Prevention


  • Author : Monowar H. Bhuyan
  • Publisher : Springer
  • Release Date : 2018-08-12
  • Genre: Computers
  • Pages : 263
  • ISBN 10 : 3319879685

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Network Traffic Anomaly Detection and Prevention Excerpt :

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.

2020 5th International Conference on Communication and Electronics Systems  ICCES  Book

2020 5th International Conference on Communication and Electronics Systems ICCES


  • Author : IEEE Staff
  • Publisher : Unknown
  • Release Date : 2020-06-10
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1728153727

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2020 5th International Conference on Communication and Electronics Systems ICCES Excerpt :

5th International Conference on Communication and Electronics Systems (ICCES 2020) is being organized on 10 12, June 2020 ICCES will provide an outstanding international forum for sharing knowledge and results in all fields of Engineering and Technology ICCES provides quality key experts who provide an opportunity in bringing up innovative ideas Recent updates in the in the field of technology will be a platform for the upcoming researchers The conference will be Complete, Concise, Clear and Cohesive in terms of research related to Communication and Electronics systems

2018 20th International Conference on Advanced Communication Technology  ICACT  Book

2018 20th International Conference on Advanced Communication Technology ICACT


  • Author : IEEE Staff
  • Publisher : Unknown
  • Release Date : 2018-02-11
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1538646889

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2018 20th International Conference on Advanced Communication Technology ICACT Excerpt :

With technically co sponsored by IEEE ComSoc(Communications Society), IEEE ComSoc CISTC(Communications & Information Security Technical Community), and IEEE ComSoc ONTC(Optical Networking Technical Community), the ICACT(International Conference on Advanced Communications Technology) Conference has been providing an open forum for scholars, researchers, and engineers to the extensive exchange of information on newly emerging technologies, standards, services, and applications in the area of the advanced communications technology The conference official language is English All the presented papers have been published in the Conference Proceedings, and posted on the ICACT Website and IEEE Xplore Digital Library since 2004 The honorable ICACT Out Standing Paper Award list has been posted on the IEEE Xplore Digital Library also, and all the Out Standing papers are subjected to the invited paper of the ICACT Transactions on the Advanced Communications Technology Journal issued by GIRI

Data Traffic Monitoring and Analysis Book

Data Traffic Monitoring and Analysis


  • Author : Ernst Biersack
  • Publisher : Springer
  • Release Date : 2013-03-02
  • Genre: Computers
  • Pages : 359
  • ISBN 10 : 9783642367847

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Data Traffic Monitoring and Analysis Excerpt :

This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.

Network Classification for Traffic Management Book

Network Classification for Traffic Management


  • Author : Zahir Tari
  • Publisher : Computing and Networks
  • Release Date : 2020-03-23
  • Genre: Computers
  • Pages : 291
  • ISBN 10 : 9781785619212

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Network Classification for Traffic Management Excerpt :

This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.

Wireless Algorithms  Systems  and Applications Book

Wireless Algorithms Systems and Applications


  • Author : Dongxiao Yu
  • Publisher : Springer Nature
  • Release Date : 2020-09-09
  • Genre: Computers
  • Pages : 838
  • ISBN 10 : 9783030590161

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Wireless Algorithms Systems and Applications Excerpt :

The two-volume set LNCS 12385 + 12386 constitutes the proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, which was held during September 13-15, 2020. The conference was planned to take place in Qingdao, China; due to the COVID-19 pandemic it was held virtually. The 67 full and 14 short papers presented in these proceedings were carefully reviewed and selected from 216 submissions. These submissions cover many hot research topics, including machine-learning algorithms for wireless systems and applications, Internet of Things (IoTs) and related wireless solutions, wireless networking for cyber-physical systems (CPSs), security and privacy solutions for wireless applications, blockchain solutions for mobile applications, mobile edge computing, wireless sensor networks, distributed and localized algorithm design and analysis, wireless crowdsourcing, mobile cloud computing, vehicular networks, wireless solutions for smart cities, wireless algorithms for smart grids, mobile social networks, mobile system security, storage systems for mobile applications, etc.

Dynamic Networks and Cyber Security Book

Dynamic Networks and Cyber Security


  • Author : Niall Adams
  • Publisher : World Scientific
  • Release Date : 2016-03-22
  • Genre: Uncategoriezed
  • Pages : 224
  • ISBN 10 : 9781786340764

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Dynamic Networks and Cyber Security Excerpt :

As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue. This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the area of data analysis for complex cyber-security applications, with a particular focus on temporal and network aspects. Chapters can be read as standalone sections and provide rich reviews of the latest research within the field of cyber-security. Academic readers will benefit from state-of-the-art descriptions of new methodologies and their extension to real practical problems while industry professionals will appreciate access to more advanced methodology than ever before. Contents:Network Attacks and the Data They Affect (M Morgan, J Sexton, J Neil, A Ricciardi & J Theimer)Cyber-Security Data Sources for Dynamic Network Research (A D Kent)Modelling User Behaviour in a Network Using Computer Event Logs (M J M Turcotte, N A Heard & A D Kent)Network Services as Risk Factors: A Genetic Epidemiology Approach to Cyber-Security (S Gil)Community Detection and Role Identification in Directed Networks: Understanding the Twitter Network of the Care.Data Debate (B Amor, S Vuik, R Callahan, A Darzi, S N Yaliraki & M Barahona)Anomaly Detection for Cyber Security Applications (P Rubin-Delanchy, D J Lawson & N A Heard)Exponential Random Graph Modelling of Static and Dynamic Social Networks (A Caimo)Hierarchical Dynamic Walks (A V Mantzaris, P Grindrod & D J Higham)Temporal Reachability in Dynamic Networks (A Hagberg, N Lemons & S Misra) Readership: Researchers and practitioners in dynamic netw

Network and System Security Book

Network and System Security


  • Author : Joseph K. Liu
  • Publisher : Springer Nature
  • Release Date : 2019-12-10
  • Genre: Computers
  • Pages : 731
  • ISBN 10 : 9783030369385

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Network and System Security Excerpt :

This book constitutes the proceedings of the 13th International Conference on Network and System Security, NSS 2019, held in Sapporo, Japan, in December 2019. The 36 full papers and 7 short papers presented together with 4 invited papers in this book were carefully reviewed and selected from 89 initial submissions. The papers cover a wide range of topics in the field, including authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability of computer networks and systems.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security Book

Handbook of Research on Machine and Deep Learning Applications for Cyber Security


  • Author : Ganapathi, Padmavathi
  • Publisher : IGI Global
  • Release Date : 2019-07-26
  • Genre: Computers
  • Pages : 482
  • ISBN 10 : 9781522596134

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Handbook of Research on Machine and Deep Learning Applications for Cyber Security Excerpt :

As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Engineering in Dependability of Computer Systems and Networks Book

Engineering in Dependability of Computer Systems and Networks


  • Author : Wojciech Zamojski
  • Publisher : Springer
  • Release Date : 2019-05-11
  • Genre: Technology & Engineering
  • Pages : 554
  • ISBN 10 : 9783030195014

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Engineering in Dependability of Computer Systems and Networks Excerpt :

This book presents papers on various problems of dependability in computer systems and networks that were discussed at the 14th DepCoS-RELCOMEX conference, in Brunów, Poland, from 1st to 5th July 2019. Discussing new ideas, research results and developments in the design, implementation, maintenance and analysis of complex computer systems, it is of interest to researchers and practitioners who are dealing with dependability issues in such systems. Dependability analysis came as a response to new challenges in the evaluation of contemporary complex systems, which should be considered as systems of people – with their needs and behaviours –interacting with technical communication channels (such as mobile activities, iCloud, Internet of Everything) and online applications, often operating in hostile environments. The diversity of topics covered, illustrates the variety of methods used in this area, often with the help of the latest results in artificial and computational intelligence.