Intelligent alert clustering model for network intrusion analysis
As security threats advance in a drastic way, most of the organizations implement multiple Network Intrusion Detection Systems (NIDSs) to optimize detection and to provide comprehensive view of intrusion activities. But NIDSs trigger a massive amount of alerts even for a day and overwhelmed security...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
IEEE Xplore
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/11834/ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05283194 |
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| Institution: | Universiti Teknologi Malaysia |