Overview
- Provides a thorough introduction to network attacks, describes the pros and cons of various data mining approaches, and discusses important issues and challenges to be addressed
- Presents a systematic, hands-on approach to generating real-life large intrusion datasets
- Contains lists of practical tools and systems, together with hands-on examples for launching, monitoring, detecting, and preventing various types of network attacks
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (8 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Network Traffic Anomaly Detection and Prevention
Book Subtitle: Concepts, Techniques, and Tools
Authors: Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-65188-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-65186-6Published: 19 September 2017
Softcover ISBN: 978-3-319-87968-0Published: 12 August 2018
eBook ISBN: 978-3-319-65188-0Published: 03 September 2017
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XXII, 263
Number of Illustrations: 89 b/w illustrations, 9 illustrations in colour
Topics: Computer Communication Networks, Systems and Data Security, Performance and Reliability, Communications Engineering, Networks