A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework

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A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework

Observing network traffic flow for anomalies is a common method in Intrusion Detection. More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on ea...

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Bibliographic Details
Main Authors:	Udzir, Nur Izura, Hajamydeen, Asif Iqbal
Format:	Article
Language:	English
Published:	Universitatae de vest 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/80413/ http://psasir.upm.edu.my/id/eprint/80413/1/ANOMALY.pdf

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