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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Détails bibliographiques
Auteur principal:	Khairi, Rihab Salah
Format:	Dissertation
Langue:	anglais anglais anglais
Publié:	2015
Sujets:	QA76 Computer software
Accès en ligne:	http://eprints.uthm.edu.my/1446/
Abstract	Abstract here

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