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arXiv · 1211.1158

Data Mining Based Technique for IDS Alerts Classification

Hany N. Gabra·Ayman M. Bahaa-Eldin·Hoda K. Mohamed
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Abstract

Intrusion detection systems (IDSs) have become a widely used measure for security systems. The main problem for those systems results is the irrelevant alerts on those results. We will propose a data mining based method for classification to distinguish serious alerts and irrelevant one with a performance of 99.9% which is better in comparison with the other recent data mining methods that have reached the performance of 97%. A ranked alerts list also created according to alerts importance to minimize human interventions.

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Hany N. Gabra, Ayman M. Bahaa-Eldin, Hoda K. Mohamed. 2013-02-21. Data Mining Based Technique for IDS Alerts Classification. https://arxiv.org/abs/1211.1158

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