Data Mining Based Technique for IDS Alerts Classification
Cryptography and Security
2013-02-22 v2
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.
Cite
@article{arxiv.1211.1158,
title = {Data Mining Based Technique for IDS Alerts Classification},
author = {Hany N. Gabra and Ayman M. Bahaa-Eldin and Hoda K. Mohamed},
journal= {arXiv preprint arXiv:1211.1158},
year = {2013}
}