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Intrusion detectiona machine learnin...
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Tsai, Jeffrey J.-P.
Intrusion detectiona machine learning approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intrusion detectionZhenwei Yu, Jeffrey J. P. Tsai.
Reminder of title:
a machine learning approach /
Author:
Yu, Zhenwei.
other author:
Tsai, Jeffrey J.-P.
Published:
London :Imperial College Press ;c2011.
Description:
xii, 171 p. :ill. (some col.)
Subject:
Computer networksSecurity measures.
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/P666#t=toc
ISBN:
9781848164482 (electronic bk.)
Intrusion detectiona machine learning approach /
Yu, Zhenwei.
Intrusion detection
a machine learning approach /[electronic resource] :Zhenwei Yu, Jeffrey J. P. Tsai. - London :Imperial College Press ;c2011. - xii, 171 p. :ill. (some col.) - Series in electrical and computer engineering ;v. 3. - Series in electrical and computer engineering ;v. 3..
Includes bibliographical references (p. 159-167) and index.
This important book 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.
Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2011.
System requirements: Adobe Acrobat Reader.
ISBN: 9781848164482 (electronic bk.)Subjects--Topical Terms:
185597
Computer networks
--Security measures.
LC Class. No.: TK5105.59
Dewey Class. No.: 005.8
Intrusion detectiona machine learning approach /
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a machine learning approach /
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Includes bibliographical references (p. 159-167) and index.
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This important book 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.
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2011.
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http://www.worldscientific.com/worldscibooks/10.1142/P666#t=toc
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000000074821
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EB TK5105.59 c2011
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1 records • Pages 1 •
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http://www.worldscientific.com/worldscibooks/10.1142/P666#t=toc
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