Understanding Intrusion Detection Through Visualization by Stefan Axelsson & David Sands

Understanding Intrusion Detection Through Visualization Presents research on why false alarms are, and will remain a problem. This book then applies results from the field of information visualization to the problem of intrusion detection. It features four different visualization approaches, mainly applied to data from web server access logs.

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 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.
Author(s) : David Sands Format : Hardback Book
ISBN-10 : 0387276343 ISBN-13 : 9780387276342
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Product Details:

Series Title : Advances in Information Security S.

Country Publication : United States

Publication Date : 01/12/2005

Publisher : Springer-Verlag New York Inc.

Page Length : XX, 145mm

Page Size : 243mm