Network Traffic Anomaly Detection and Prevention

Concepts, Techniques, and Tools

  • Monowar H. Bhuyan
  • Dhruba K. Bhattacharyya
  • Jugal K. Kalita

Part of the Computer Communications and Networks book series (CCN)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 1-13
  3. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 15-69
  4. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 71-114
  5. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 115-169
  6. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 171-199
  7. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 201-242
  8. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 243-252
  9. Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 253-257
  10. Back Matter
    Pages 259-263

About this book

Introduction

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.

Dr. Monowar H. Bhuyan is an Associate Professor and Head of the Department of Computer Science and Engineering at Kaziranga University, Jorhat, India. Dr. Dhruba K. Bhattacharyya is a Professor in the Department of Computer Science and Engineering at Tezpur University, India. Dr. Jugal K. Kalita is a Professor in the Department of Computer Science at the University of Colorado, Colorado Springs, CO, USA.

Keywords

Anomaly Detection Data Mining Denial of Service Distributed Denial of Service Intrusion Prevention Network Attack Network Port Scan

Authors and affiliations

  • Monowar H. Bhuyan
    • 1
  • Dhruba K. Bhattacharyya
    • 2
  • Jugal K. Kalita
    • 3
  1. 1.Kaziranga UniversityJorhatIndia
  2. 2.Tezpur UniversityNapaamIndia
  3. 3.University of ColoradoColorado SpringsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65188-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-65186-6
  • Online ISBN 978-3-319-65188-0
  • Series Print ISSN 1617-7975
  • Series Online ISSN 2197-8433
  • About this book
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