Classification of IDS Alerts with Data Mining Techniques
Cryptography and Security
2014-01-21 v1 Databases
Machine Learning
Abstract
A data mining technique to reduce the amount of false alerts within an IDS system is proposed. The new technique achieves an accuracy of 99% compared to 97% by the current systems.
Cite
@article{arxiv.1401.4872,
title = {Classification of IDS Alerts with Data Mining Techniques},
author = {Hany Nashat Gabra and Ayman Mohammad Bahaa-Eldin and Huda Korashy},
journal= {arXiv preprint arXiv:1401.4872},
year = {2014}
}
Comments
2012 International Conference on Internet Study (NETs2012), Bangkok, Thailand