Computer Communications and Networks

Network Traffic Anomaly Detection and Prevention

Concepts, Techniques, and Tools

Autoren: Bhuyan, Monowar H., Bhattacharyya, Dhruba K., Kalita, Jugal K.

Vorschau
  • 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
Weitere Vorteile

Dieses Buch kaufen

eBook 63,06 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-65188-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 80,24 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-65186-6
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 80,24 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-87968-0
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Lehrbuch

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.

Über den Autor

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.

Inhaltsverzeichnis (8 Kapitel)

Inhaltsverzeichnis (8 Kapitel)

Dieses Buch kaufen

eBook 63,06 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-65188-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 80,24 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-65186-6
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 80,24 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-87968-0
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Network Traffic Anomaly Detection and Prevention
Buchuntertitel
Concepts, Techniques, and Tools
Autoren
Titel der Buchreihe
Computer Communications and Networks
Copyright
2017
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing AG
eBook ISBN
978-3-319-65188-0
DOI
10.1007/978-3-319-65188-0
Hardcover ISBN
978-3-319-65186-6
Softcover ISBN
978-3-319-87968-0
Buchreihen ISSN
1617-7975
Auflage
1
Seitenzahl
XXII, 263
Anzahl der Bilder
89 schwarz-weiß Abbildungen, 9 Abbildungen in Farbe
Themen