Artificial immune system based on real valued negative selection algorithms for anomaly detection

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Artificial immune system based on real valued negative selection algorithms for anomaly detection

The Real-Valued Negative Selection Algorithms, which are the focal point of this research, generate their detector sets based on the points of self data. Self data are regarded as the normal behavioral pattern of the monitored system. In this research, the Real-Valued Negative Selection with fixed-s...

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Bibliographic Details
Main Author:	Khairi, Rihab Salah
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/1446/ http://eprints.uthm.edu.my/1446/2/RIHAB%20SALAH%20KHAIRI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1446/1/24p%20RIHAB%20SALAH%20KHAIRI.pdf http://eprints.uthm.edu.my/1446/3/RIHAB%20SALAH%20KHAIRI%20WATERMARK.pdf

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