Traffic Anomaly Detection

Traffic Anomaly Detection
Author: Antonio Cuadra-Sánchez,Javier Aracil
Publsiher: Elsevier
Total Pages: 70
Release: 2015-10-31
ISBN 10: 0081008074
ISBN 13: 9780081008072
Language: EN, FR, DE, ES & NL

Traffic Anomaly Detection Book Review:

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

Network Traffic Anomaly Detection and Prevention
Author: Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
Publsiher: Springer
Total Pages: 263
Release: 2017-09-03
ISBN 10: 3319651889
ISBN 13: 9783319651880
Language: EN, FR, DE, ES & NL

Network Traffic Anomaly Detection and Prevention Book Review:

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.

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection
Author: Robin Sommer,Davide Balzarotti,Gregor Maier
Publsiher: Springer
Total Pages: 399
Release: 2012-02-11
ISBN 10: 3642236448
ISBN 13: 9783642236440
Language: EN, FR, DE, ES & NL

Recent Advances in Intrusion Detection Book Review:

This book constitutes the proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection, RAID 2011, held in Menlo Park, CA, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.

New Methods for Network Traffic Anomaly Detection

New Methods for Network Traffic Anomaly Detection
Author: Tahereh Tara Babaie
Publsiher: Unknown
Total Pages: 135
Release: 2014
ISBN 10: 1928374650XXX
ISBN 13: OCLC:911222015
Language: EN, FR, DE, ES & NL

New Methods for Network Traffic Anomaly Detection Book Review:

Network Anomaly Detection

Network Anomaly Detection
Author: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
Publsiher: CRC Press
Total Pages: 366
Release: 2013-06-18
ISBN 10: 146658209X
ISBN 13: 9781466582095
Language: EN, FR, DE, ES & NL

Network Anomaly Detection Book Review:

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 Evaluation

Network Traffic Anomaly Detection and Evaluation
Author: Daniela Brauckhoff
Publsiher: Unknown
Total Pages: 180
Release: 2010
ISBN 10: 9783832289775
ISBN 13: 3832289771
Language: EN, FR, DE, ES & NL

Network Traffic Anomaly Detection and Evaluation Book Review:

A New Approach to Network Traffic Anomaly Detection

A New Approach to Network Traffic Anomaly Detection
Author: Wanchalearm Petsuwan
Publsiher: Unknown
Total Pages: 458
Release: 2010
ISBN 10: 1928374650XXX
ISBN 13: OCLC:658853720
Language: EN, FR, DE, ES & NL

A New Approach to Network Traffic Anomaly Detection Book Review:

NETWORKING 2011

NETWORKING 2011
Author: Jordi Domingo-Pascual,Pietro Manzoni,Sergio Palazzo,Ana Pont,Caterina Scoglio
Publsiher: Springer Science & Business Media
Total Pages: 473
Release: 2011-04-28
ISBN 10: 3642207561
ISBN 13: 9783642207563
Language: EN, FR, DE, ES & NL

NETWORKING 2011 Book Review:

The two-volume set LNCS 6640 and 6641 constitutes the refereed proceedings of the 10th International IFIP TC 6 Networking Conference held in Valencia, Spain, in May 2011. The 64 revised full papers presented were carefully reviewed and selected from a total of 294 submissions. The papers feature innovative research in the areas of applications and services, next generation Internet, wireless and sensor networks, and network science. The first volume includes 36 papers and is organized in topical sections on anomaly detection, content management, DTN and sensor networks, energy efficiency, mobility modeling, network science, network topology configuration, next generation Internet, and path diversity.

Network Anomaly Detection

Network Anomaly Detection
Author: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
Publsiher: CRC Press
Total Pages: 366
Release: 2013-06-18
ISBN 10: 1466582081
ISBN 13: 9781466582088
Language: EN, FR, DE, ES & NL

Network Anomaly Detection Book Review:

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.

2020 5th International Conference on Communication and Electronics Systems ICCES

2020 5th International Conference on Communication and Electronics Systems  ICCES
Author: IEEE Staff
Publsiher: Unknown
Total Pages: 135
Release: 2020-06-10
ISBN 10: 9781728153728
ISBN 13: 1728153727
Language: EN, FR, DE, ES & NL

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

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

Traffic Management and Traffic Engineering for the Future Internet

Traffic Management and Traffic Engineering for the Future Internet
Author: Rui Valadas,Paulo Salvador
Publsiher: Springer
Total Pages: 231
Release: 2009-09-16
ISBN 10: 3642045766
ISBN 13: 9783642045769
Language: EN, FR, DE, ES & NL

Traffic Management and Traffic Engineering for the Future Internet Book Review:

This post proeedings volume contains a selection of research contributions presented at FITraMEn 2008, held during December 11-12, 2008 in Porto, Portugal. The papers contained in this book provide a general view of the ongoing research on traffic management and traffic engineering in the Euro-NF Network of Excellence, and give a representative example of the problems currently investigated in this area, that spans topics such as bandwidth allocation and traffic control, statistical analysis, traffic engineering, and optical networks and video communications.

Cyber Security

Cyber Security
Author: Wei Lu,Qiaoyan Wen,Yuqing Zhang,Bo Lang,Weiping Wen,Hanbing Yan,Chao Li,Li Ding,Ruiguang Li,Yu Zhou
Publsiher: Springer Nature
Total Pages: 235
Release: 2021-01-18
ISBN 10: 9813349220
ISBN 13: 9789813349223
Language: EN, FR, DE, ES & NL

Cyber Security Book Review:

This open access book constitutes the refereed proceedings of the 16th International Annual Conference on Cyber Security, CNCERT 2020, held in Beijing, China, in August 2020. The 17 papers presented were carefully reviewed and selected from 58 submissions. The papers are organized according to the following topical sections: access control; cryptography; denial-of-service attacks; hardware security implementation; intrusion/anomaly detection and malware mitigation; social network security and privacy; systems security.

Traffic Anomaly Detection and Diagnosis on the Network Flow Level

Traffic Anomaly Detection and Diagnosis on the Network Flow Level
Author: Marc Philippe Stöcklin
Publsiher: Unknown
Total Pages: 183
Release: 2011
ISBN 10: 1928374650XXX
ISBN 13: OCLC:732346065
Language: EN, FR, DE, ES & NL

Traffic Anomaly Detection and Diagnosis on the Network Flow Level Book Review:

HTTP Traffic Anomaly Detection Using Clustering

HTTP Traffic Anomaly Detection Using Clustering
Author: Douglas E. Stetson
Publsiher: Unknown
Total Pages: 118
Release: 2005
ISBN 10: 1928374650XXX
ISBN 13: OCLC:190835232
Language: EN, FR, DE, ES & NL

HTTP Traffic Anomaly Detection Using Clustering Book Review:

Knowledge Based Intelligent Information and Engineering Systems

Knowledge Based Intelligent Information and Engineering Systems
Author: Bruno Apolloni
Publsiher: Springer
Total Pages: 884
Release: 2007-09-12
ISBN 10: 3540748199
ISBN 13: 9783540748199
Language: EN, FR, DE, ES & NL

Knowledge Based Intelligent Information and Engineering Systems Book Review:

This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.

Network Classification for Traffic Management

Network Classification for Traffic Management
Author: Zahir Tari,Adil Fahad,Xun Yi,Abdulmohsen Almalawi
Publsiher: Computing and Networks
Total Pages: 288
Release: 2020-03-23
ISBN 10: 1785619217
ISBN 13: 9781785619212
Language: EN, FR, DE, ES & NL

Network Classification for Traffic Management Book Review:

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

Traffic Anomaly Detection and Cause Identification Using Flow level Measurements

Traffic Anomaly Detection and Cause Identification Using Flow level Measurements
Author: Gerhard Münz
Publsiher: Unknown
Total Pages: 228
Release: 2010
ISBN 10: 9783937201122
ISBN 13: 3937201122
Language: EN, FR, DE, ES & NL

Traffic Anomaly Detection and Cause Identification Using Flow level Measurements Book Review:

Network Traffic Anomaly Detection Using EMD and Hilbert Huan Transform

Network Traffic Anomaly Detection Using EMD and Hilbert Huan Transform
Author: Jieying Han
Publsiher: Unknown
Total Pages: 168
Release: 2013
ISBN 10: 1928374650XXX
ISBN 13: OCLC:854761870
Language: EN, FR, DE, ES & NL

Network Traffic Anomaly Detection Using EMD and Hilbert Huan Transform Book Review:

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection
Author: Christopher Kruegel
Publsiher: Springer Science & Business Media
Total Pages: 336
Release: 2007-08-14
ISBN 10: 3540743197
ISBN 13: 9783540743194
Language: EN, FR, DE, ES & NL

Recent Advances in Intrusion Detection Book Review:

This book constitutes the refereed proceedings of the 10th International Symposium on Recent Advances in Intrusion Detection, RAID 2007, held in Gold Coast, Australia in September 2007. The 17 revised full papers presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis, anomaly- and specification-based detection, and network intrusion detection.

Engineering in Dependability of Computer Systems and Networks

Engineering in Dependability of Computer Systems and Networks
Author: Wojciech Zamojski,Jacek Mazurkiewicz,Jarosław Sugier,Tomasz Walkowiak,Janusz Kacprzyk
Publsiher: Springer
Total Pages: 554
Release: 2019-05-11
ISBN 10: 3030195015
ISBN 13: 9783030195014
Language: EN, FR, DE, ES & NL

Engineering in Dependability of Computer Systems and Networks Book Review:

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.