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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| Main Authors: | , , , |
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| Format: | Article |
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International Journal of Computer Science and Network Security
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/5602/ http://paper.ijcsns.org/07_book/200709/20070917.pdf |
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