- Title
- Probabilistic neural networks based network security management
- Creator
- Wu, Zhiyou; Liu, W; Wu, Jian-ping; Duan, Hai-xin
- Date
- 2008
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/67001
- Identifier
- vital:4599
- Identifier
- ISSN:1548-7709
- Abstract
- Intrusion Detection System (IDS) is one of the main tools in computer and network management, we consider intrusion detection using probabilistic neural networks. An ensemble of Probabilistic Neural Networks (PNN) is trained with Adaptive Boost to classify the detected event as normal or intrusive. We use Hamming distance kernels for PNN and find them superior to Euclidean distance kernels for this kind of detected event
- Relation
- Journal Communication and Computer Vol. 5, no. 2 (2008), p. 19-24
- Rights
- Copyright David Publishing
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0806 Information Systems; Security Systems Services; Probabilities; Neural networks
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