Network Traffic Anomaly Detection and Prevention

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Publisher : Springer
ISBN 13 : 3319651889
Total Pages : 278 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Network Traffic Anomaly Detection and Prevention by : Monowar H. Bhuyan

Download or read book Network Traffic Anomaly Detection and Prevention written by Monowar H. Bhuyan and published by Springer. This book was released on 2017-09-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book 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.

Traffic Anomaly Detection

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Publisher : Elsevier
ISBN 13 : 0081008074
Total Pages : 72 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Traffic Anomaly Detection by : Antonio Cuadra-Sánchez

Download or read book Traffic Anomaly Detection written by Antonio Cuadra-Sánchez and published by Elsevier. This book was released on 2015-10-31 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic Anomaly Detection 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 Anomaly Detection

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Publisher : CRC Press
ISBN 13 : 146658209X
Total Pages : 364 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Network Anomaly Detection by : Dhruba Kumar Bhattacharyya

Download or read book Network Anomaly Detection written by Dhruba Kumar Bhattacharyya and published by CRC Press. This book was released on 2013-06-18 with total page 364 pages. Available in PDF, EPUB and Kindle. Book 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 behavi

Network Classification for Traffic Management

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Publisher : Computing and Networks
ISBN 13 : 1785619217
Total Pages : 291 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Network Classification for Traffic Management by : Zahir Tari

Download or read book Network Classification for Traffic Management written by Zahir Tari and published by Computing and Networks. This book was released on 2020-03-23 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.

Data Traffic Monitoring and Analysis

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Publisher : Springer
ISBN 13 : 3642367844
Total Pages : 370 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Data Traffic Monitoring and Analysis by : Ernst Biersack

Download or read book Data Traffic Monitoring and Analysis written by Ernst Biersack and published by Springer. This book was released on 2013-03-02 with total page 370 pages. Available in PDF, EPUB and Kindle. Book 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.

NETWORKING 2011

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Publisher : Springer Science & Business Media
ISBN 13 : 3642207561
Total Pages : 492 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis NETWORKING 2011 by : Jordi Domingo-Pascual

Download or read book NETWORKING 2011 written by Jordi Domingo-Pascual and published by Springer Science & Business Media. This book was released on 2011-04-28 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher :
ISBN 13 :
Total Pages : 458 pages
Book Rating : 4.:/5 (658 download)

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Book Synopsis A New Approach to Network Traffic Anomaly Detection by : Wanchalearm Petsuwan

Download or read book A New Approach to Network Traffic Anomaly Detection written by Wanchalearm Petsuwan and published by . This book was released on 2010 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Network Traffic Anomaly Detection and Evaluation

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Publisher :
ISBN 13 : 9783832289775
Total Pages : 180 pages
Book Rating : 4.2/5 (897 download)

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Book Synopsis Network Traffic Anomaly Detection and Evaluation by : Daniela Brauckhoff

Download or read book Network Traffic Anomaly Detection and Evaluation written by Daniela Brauckhoff and published by . This book was released on 2010 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Methods for Network Traffic Anomaly Detection

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (911 download)

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Book Synopsis New Methods for Network Traffic Anomaly Detection by : Tahereh Tara Babaie

Download or read book New Methods for Network Traffic Anomaly Detection written by Tahereh Tara Babaie and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland

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Publisher : Springer
ISBN 13 : 3319070134
Total Pages : 528 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland by : Wojciech Zamojski

Download or read book Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland written by Wojciech Zamojski and published by Springer. This book was released on 2014-05-16 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Traffic Anomaly Detection and Diagnosis on the Network Flow Level

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Publisher :
ISBN 13 :
Total Pages : 183 pages
Book Rating : 4.:/5 (732 download)

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Book Synopsis Traffic Anomaly Detection and Diagnosis on the Network Flow Level by : Marc Philippe Stöcklin

Download or read book Traffic Anomaly Detection and Diagnosis on the Network Flow Level written by Marc Philippe Stöcklin and published by . This book was released on 2011 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Engineering in Dependability of Computer Systems and Networks

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Publisher : Springer
ISBN 13 : 3030195015
Total Pages : 554 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Engineering in Dependability of Computer Systems and Networks by : Wojciech Zamojski

Download or read book Engineering in Dependability of Computer Systems and Networks written by Wojciech Zamojski and published by Springer. This book was released on 2019-05-11 with total page 554 pages. Available in PDF, EPUB and Kindle. Book 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.

HTTP Traffic Anomaly Detection Using Clustering

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Publisher :
ISBN 13 :
Total Pages : 118 pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis HTTP Traffic Anomaly Detection Using Clustering by : Douglas E. Stetson

Download or read book HTTP Traffic Anomaly Detection Using Clustering written by Douglas E. Stetson and published by . This book was released on 2005 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Traffic Anomaly Detection and Cause Identification Using Flow-level Measurements

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Publisher :
ISBN 13 : 9783937201122
Total Pages : 228 pages
Book Rating : 4.2/5 (11 download)

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Book Synopsis Traffic Anomaly Detection and Cause Identification Using Flow-level Measurements by : Gerhard Münz

Download or read book Traffic Anomaly Detection and Cause Identification Using Flow-level Measurements written by Gerhard Münz and published by . This book was released on 2010 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Machine Learning: A New Look at Anomaly Detection

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491914181
Total Pages : 65 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Practical Machine Learning: A New Look at Anomaly Detection by : Ted Dunning

Download or read book Practical Machine Learning: A New Look at Anomaly Detection written by Ted Dunning and published by "O'Reilly Media, Inc.". This book was released on 2014-07-21 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding Data Anomalies You Didn't Know to Look For Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work. From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project. Use probabilistic models to predict what’s normal and contrast that to what you observe Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model Use historical data to discover anomalies in sporadic event streams, such as web traffic Learn how to use deviations in expected behavior to trigger fraud alerts

Automatic Network Traffic Anomaly Detection and Analysis Using Supervised Machine Learning Techniques

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Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (117 download)

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Book Synopsis Automatic Network Traffic Anomaly Detection and Analysis Using Supervised Machine Learning Techniques by : Astha Syal

Download or read book Automatic Network Traffic Anomaly Detection and Analysis Using Supervised Machine Learning Techniques written by Astha Syal and published by . This book was released on 2019 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, internet has become an important tool for the entire public. It is the source of information, education, entertainment, and convenience. To maintain the efficiency and performance of the large computer networks supporting the internet, it is important to monitor and analyze the overall network traffic. During evening hours, when most people access internet at the same time for social media browsing, accessing their data or watching Netflix, with the increase in utilization, the network traffic can become congested and therefore the speed decreases. This research aims to identify network variables that cause these disturbances, thus impacting the overall speed of the network and leading it to a state of "congestive collapse". Machine learning models can be built using data passively collected in the network's logs and can be used in real-time to predict the traffic in the next time frame so network administrators could tune the network variables that are causing these disturbances. The models proposed here are able to quickly detect large intervals of low performing network transfers, which requires attention from network engineers.

An Analysis of Anomaly Detection in Network Traffic and Role of Wavelets

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis An Analysis of Anomaly Detection in Network Traffic and Role of Wavelets by : Gagandeep Kaur

Download or read book An Analysis of Anomaly Detection in Network Traffic and Role of Wavelets written by Gagandeep Kaur and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection of anomalies in today's world is a cumbersome task due to highly dynamic nature of intrusions. The traditional practices of Network Anomaly Detection (NAD) fail to detect and identify the dynamic intrusions in real times. They are based on patterns initially saved in database. Large number of tools exists in open source as well as commercial market, but fast and accurate detection and identification of anomalies still remains a gruesome task. In the past few years signal processing techniques have found applications in Network Intrusion Detection (NID) Systems due to their efficiency in tracing out deviations as well as transformations in the network traffic data. Any Intrusion Detection System (IDS) needs excellent visualization of obtained results so as to provide network administrator good information in the least possible time. This survey explains the main techniques known in the field of statistical-based and wavelet-based anomaly detection approaches and focuses on the role of data traffic visualization tools in network traffic anomaly detection.