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Understanding Intrusion Detection Through Visualization

  • Stefan Axelsson
  • David Sands

Part of the Advances in Information Security book series (ADIS, volume 24)

About this book

Introduction

With the ever increasing use of computers for critical systems, computer security that protects data and computer systems from intentional, malicious intervention, continues to attract significant attention. Among the methods for defense, the application of a tool to help the operator identify ongoing or already perpetrated attacks (intrusion detection), has been the subject of considerable research in the past ten years. A key problem with current intrusion detection systems is the high number of false alarms they produce.

Understanding Intrusion Detection through Visualization presents research on why false alarms are, and will remain a problem; then applies results from the field of information visualization to the problem of intrusion detection. This approach promises to enable the operator to identify false (and true) alarms, while aiding the operator to identify other operational characteristics of intrusion detection systems. This volume presents four different visualization approaches, mainly applied to data from web server access logs.

Understanding Intrusion Detection through Visualization is structured for security professionals, researchers and practitioners. This book is also suitable for graduate students in computer science.

Keywords

Protection Webserver computer security information information visualization intrusion detection privacy security visualization

Authors and affiliations

  • Stefan Axelsson
    • 1
  • David Sands
    • 1
  1. 1.Dept. of Computer Science and EngineeringChalmers University of TechnologyGöteborgSweden

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-27636-X
  • Copyright Information Springer Science+Business Media, Inc. 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-27634-2
  • Online ISBN 978-0-387-27636-6
  • Series Print ISSN 1568-2633
  • Buy this book on publisher's site