Understanding Intrusion Detection through Visualization (Hardcover, 2006 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Advances in Information Security, 24
Release date:	November 2005
First published:	2006
Authors:	Stefan Axelsson • David Sands
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	145
Edition:	2006 ed.
ISBN-13:	978-0-387-27634-2
Categories:	Books > Computing & IT > Computer communications & networking > Network security
LSN:	0-387-27634-3
Barcode:	9780387276342

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