System for Detection of Network Threats based on Classifiers
Journal Title: TEM JOURNAL - Year 2014, Vol 3, Issue 2
Abstract
In this paper we present a system that automatically detects and profiles threats on a real network. The realised Threat Detection System (TDS)is based on Snort software and it allows the security experts to evaluate the risk of vulnerability and to retrieve the actual number of threats that are active in the network.Algorithms are presented to determine three properties for each threat: skill, intensity of the attacks and whether the threat is a human or an autonomous computer program.
Authors and Affiliations
Bilgin Demir, Zoran Gacovski, Vladimir Pivovarov, Lidija Goracinova
Keywords
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