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Using Vulnerability To Reduce False Positive Rate In Intrusion Detection Systems
2016
Zenodo
Intrusion Detection Systems are an essential tool for network security infrastructure. However, IDSs have a serious problem which is the generating of massive number of alerts, most of them are false positive ones which can hide true alerts and make the analyst confused to analyze the right alerts for report the true attacks. The purpose behind this paper is to present a formalism model to perform correlation engine by the reduction of false positive alerts basing on vulnerability contextual
doi:10.5281/zenodo.1112091
fatcat:iih5zyt2ejhc7ncfeqokidksuu