Intrusion Detection: A Machine Learning Approach (Hardcover, 3rd ed.)

This important textbook introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques for intrusion detection of wired computer networks and wireless sensor networks. The performance comparison of various IDS via simulation will also be included.

General

Imprint:	Imperial College Press
Country of origin:	United Kingdom
Series:	Series in Electrical and Computer Engineering, 3
Release date:	2011
First published:	February 2011
Authors:	Jeffrey J.P. Tsai • Zhenwei Yu
Dimensions:	229 x 159 x 20mm (L x W x T)
Format:	Hardcover
Pages:	184
Edition:	3rd ed.
ISBN-13:	978-1-84816-447-5
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-84816-447-5
Barcode:	9781848164475

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