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Autor(en): 
  • Jugal K. Kalita
  • Dhruba K. Bhattacharyya
  • Monowar H. Bhuyan
  • Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  August 2018  
    Genre:  EDV / Informatik 
     
    B / Communications engineering / telecommunications / Communications Engineering, Networks / Computer Communication Networks / Computer communication systems / computer science / Computer security / Computer software—Reusability / Data and Information Security / Electrical Engineering / Hardware Performance and Reliability / Maintenance & repairs / Network Security / Performance and Reliability / Systems analysis & design / Systems and Data Security
    ISBN:  9783319879680 
    EAN-Code: 
    9783319879680 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Computer Communications and Networks  
    Dimensionen:  H 235 mm / B 155 mm / D 15 mm 
    Gewicht:  493 gr 
    Seiten:  288 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 detectiontechniques 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.

      



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