Growing hierarchical self-organizing map for filtering intrusion detection alarms
A Network Intrusion Detection System (NIDS) monitors all network actions and generates alarms when it detects suspicious attempts. We present a data mining technique to assist network administrators to analyze and reduce false positive alarms that are produced by a NIDS. Our data mining technique is...
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| Main Author: | Mansour, Nashat (author) |
|---|---|
| Other Authors: | Faour, Ahmad (author), Shehab, Maya (author) |
| Format: | conferenceObject |
| Published: |
2008
|
| Online Access: | http://hdl.handle.net/10725/7860 http://dx.doi.org/10.1109/I-SPAN.2008.42 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/4520211/ |
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