Uncovering anomaly traffic based on loss of self-similarity behavior using second order statistical model

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Uncovering anomaly traffic based on loss of self-similarity behavior using second order statistical model

Malicious traffic such as Denial of Service (DoS) attack has potential to introduce distribution error and perturbs the self-similarity property of network traffic. As a result, loss of self-similarity (LoSS) is detected which indicates poor Quality of Service (QoS) performance. In order to fulfill...

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Bibliographic Details
Main Authors:	Rohani, M. F., Maarof, M. A., Selamat, A., Kettani, H.
Format:	Article
Published:	International Journal of Computer Science and Network Security 2007
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/5602/

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