System for Detection of Network Threats based on Classifiers
System for Detection of Network Threats based on Classifiers
Author(s): Bilgin Demir, Zoran Gacovski, Vladimir Pivovarov, Lidija GoracinovaSubject(s): Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Network vulnerabilities; Intrusion detection; Classification methods
Summary/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
Journal: TEM Journal
- Issue Year: 3/2014
- Issue No: 2
- Page Range: 120-126
- Page Count: 7
- Language: English