System for Detection of Network Threats based on Classifiers

System for Detection of Network Threats based on Classifiers

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 act...

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Bibliographic Details
Main Authors: Bilgin Demir, Zoran Gacovski, Vladimir Pivovarov, Lidija Goracinova
Format: Article
Language:English
Published: UIKTEN 2015-05-01
Series:TEM Journal
Subjects:
Network vulnerabilities
Intrusion detection
Classification methods
Online Access:http://www.temjournal.com/documents/vol3no2/4/System%20for%20Detection%20of%20Network%20Threats%20based%20on%20Classifiers.pdf
Description
Summary: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.
ISSN:2217-8309
2217-8333

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