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Understanding Intrusion Detection through Visualization (Advances in Information Security)
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Understanding Intrusion Detection through Visualization (Advances in Information Security)

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Description:

Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. Much work has gone into development of tools to detect ongoing or already perpetrated attacks, but a key shortfall in current intrusion detection systems is the high number of false alarms they produce. This book analyzes the false alarm problem, then applies results from the field of information visualization to the problem of intrusion detection. Four different visualization approaches are presented, mainly applied to data from web server access logs.

Product Details:
Author: Stefan Axelsson
Hardcover: 165 pages
Publisher: Springer
Publication Date: November 21, 2005
Language: English
ISBN: 0387276343
Product Length: 9.56 inches
Product Width: 6.36 inches
Product Height: 0.59 inches
Product Weight: 0.89 pounds
Package Length: 9.3 inches
Package Width: 6.2 inches
Package Height: 0.6 inches
Package Weight: 0.9 pounds
Average Customer Rating: based on 1 reviews
Customer Reviews:
Average Customer Review: 1.0 ( 1 customer reviews )
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Most Helpful Customer Reviews

4 of 4 found the following review helpful:

1Interesting ReadJan 02, 2007
By Raffael Marty
In the beginning I was a bit mislead by the title of this book, but I guess that was my mistake: The book is not about visualizing intrusion detection system logs, but it is about how to do intrusion detection on mainly Web server logs. The book is based on some older papers of the author. However, he added some new content and revised some of the papers contents.

For the most part, the book talks about how to visualize the output of various data processing algorithms. Bayesian analysis is used to analyze Web server logs and the author shows how the output can be visualized. It is not necessary visualization that is used to do intrusion detection, but the book shows a way to visualize the output of data analysis algorithms.

Overall I am a bit disappointed with the book. It is a collection of Axelsson's older papers. The book would benefit from integrating the chapters more tightely. Common terminology and concepts could be introduced once instead of multiple times in each of the chapters.

Reading the first chapters took quite some concentration. The definition of intrusion detection and intrusion detection systems in the beginning of the book are fairly complicated and it is not entirely clear why the complicated definitions are necessary for rest of the book. Also, for a visualization book, the graphs are of fairly poor quality.

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