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Traffic Anomaly Detection

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Traffic Anomaly Detection

Traffic Anomaly Detection Book
Author : Antonio Cuadra-Sánchez,Javier Aracil
Publisher : Elsevier
Release : 2015-10-31
ISBN : 0081008074
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
Publisher : Springer
Release : 2017-09-03
ISBN : 3319651889
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Robin Sommer,Davide Balzarotti,Gregor Maier
Publisher : Springer
Release : 2012-02-11
ISBN : 3642236448
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Tahereh Tara Babaie
Publisher : Unknown
Release : 2014
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download New Methods for Network Traffic Anomaly Detection book written by Tahereh Tara Babaie, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Network Anomaly Detection

Network Anomaly Detection Book
Author : Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
Publisher : CRC Press
Release : 2013-06-18
ISBN : 146658209X
Language : En, Es, Fr & De

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Book Description :

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.

NETWORKING 2011

NETWORKING 2011 Book
Author : Jordi Domingo-Pascual,Pietro Manzoni,Sergio Palazzo,Ana Pont,Caterina Scoglio
Publisher : Springer Science & Business Media
Release : 2011-04-28
ISBN : 3642207561
Language : En, Es, Fr & De

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Book Description :

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.

A New Approach to Network Traffic Anomaly Detection

A New Approach to Network Traffic Anomaly Detection Book
Author : Wanchalearm Petsuwan
Publisher : Unknown
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download A New Approach to Network Traffic Anomaly Detection book written by Wanchalearm Petsuwan, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

2020 5th International Conference on Communication and Electronics Systems ICCES

2020 5th International Conference on Communication and Electronics Systems  ICCES  Book
Author : IEEE Staff
Publisher : Unknown
Release : 2020-06-10
ISBN : 9781728153728
Language : En, Es, Fr & De

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Book Description :

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

Network Anomaly Detection

Network Anomaly Detection Book
Author : Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
Publisher : CRC Press
Release : 2013-06-18
ISBN : 1466582081
Language : En, Es, Fr & De

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Book Description :

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.

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS RELCOMEX June 30 July 4 2014 Brun w Poland

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS RELCOMEX  June 30     July 4  2014  Brun  w  Poland Book
Author : Wojciech Zamojski,Jacek Mazurkiewicz,Jarosław Sugier,Tomasz Walkowiak,Janusz Kacprzyk
Publisher : Springer
Release : 2014-05-16
ISBN : 3319070134
Language : En, Es, Fr & De

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Book Description :

DepCoS – RELCOMEX is an annual series of conferences organized by Wrocław University of Technology to promote a comprehensive approach to evaluation of system performability which is now commonly called dependability. In contrast to classic analyses which were concentrated on reliability of technical resources and structures built from them, dependability is based on multi-disciplinary approach to theory, technology and maintenance of a system considered to be a multifaceted amalgamation of technical, information, organization, software and human (users, administrators, supervisors, etc.) resources. Diversity of processes being realized (data processing, system management, system monitoring, etc.), their concurrency and their reliance on in-system intelligence often severely impedes construction of strict mathematical models and calls for application of intelligent and soft computing methods. This book presents the proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, which took place in Brunów Palace, Poland, from 30th June to 4th July, 2014. The articles selected for this volume illustrate the variety of topics that must be included in system dependability analysis: tools, methodologies and standards for modelling, design and simulation of the systems, security and confidentiality in information processing, specific issues of heterogeneous, today often wireless, computer networks or management of transportation networks.

Network Traffic Anomaly Detection and Evaluation

Network Traffic Anomaly Detection and Evaluation Book
Author : Daniela Brauckhoff
Publisher : Unknown
Release : 2010
ISBN : 9783832289775
Language : En, Es, Fr & De

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Book Description :

Download Network Traffic Anomaly Detection and Evaluation book written by Daniela Brauckhoff, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Network Classification for Traffic Management

Network Classification for Traffic Management Book
Author : Zahir Tari,Adil Fahad,Xun Yi,Abdulmohsen Almalawi
Publisher : Computing and Networks
Release : 2020-03-23
ISBN : 1785619217
Language : En, Es, Fr & De

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Book Description :

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 Diagnosis on the Network Flow Level

Traffic Anomaly Detection and Diagnosis on the Network Flow Level Book
Author : Marc Philippe Stöcklin
Publisher : Unknown
Release : 2011
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Traffic Anomaly Detection and Diagnosis on the Network Flow Level book written by Marc Philippe Stöcklin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Traffic Anomaly Detection and Cause Identification Using Flow level Measurements

Traffic Anomaly Detection and Cause Identification Using Flow level Measurements Book
Author : Gerhard Münz
Publisher : Unknown
Release : 2010
ISBN : 9783937201122
Language : En, Es, Fr & De

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Book Description :

Download Traffic Anomaly Detection and Cause Identification Using Flow level Measurements book written by Gerhard Münz, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Traffic Management and Traffic Engineering for the Future Internet

Traffic Management and Traffic Engineering for the Future Internet Book
Author : Rui Valadas,Paulo Salvador
Publisher : Springer
Release : 2009-09-16
ISBN : 3642045766
Language : En, Es, Fr & De

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Book Description :

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.

HTTP Traffic Anomaly Detection Using Clustering

HTTP Traffic Anomaly Detection Using Clustering Book
Author : Douglas E. Stetson
Publisher : Unknown
Release : 2005
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download HTTP Traffic Anomaly Detection Using Clustering book written by Douglas E. Stetson, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection Book
Author : Christopher Kruegel
Publisher : Springer Science & Business Media
Release : 2007-08-14
ISBN : 3540743197
Language : En, Es, Fr & De

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Book Description :

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.

Outlier Ensembles

Outlier Ensembles Book
Author : Charu C. Aggarwal,Saket Sathe
Publisher : Springer
Release : 2017-04-06
ISBN : 3319547658
Language : En, Es, Fr & De

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Book Description :

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.

IEEE INFOCOM 2020 IEEE Conference on Computer Communications Workshops INFOCOM WKSHPS

IEEE INFOCOM 2020 IEEE Conference on Computer Communications Workshops  INFOCOM WKSHPS  Book
Author : IEEE Staff
Publisher : Unknown
Release : 2020-07-06
ISBN : 9781728186962
Language : En, Es, Fr & De

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Book Description :

IEEE INFOCOM workshop solicits papers describing significant and innovative research contributions to the field of computer and data communication networks We invite submissions on a wide range of research topics, spanning both theoretical and systems research

Artificial Intelligence and Security

Artificial Intelligence and Security Book
Author : Xingming Sun,Jinwei Wang,Elisa Bertino
Publisher : Springer Nature
Release : 2020-09-12
ISBN : 9811580863
Language : En, Es, Fr & De

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Book Description :

The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; Internet of things; information security; Part III: information security; big data and cloud computing; information processing.