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...

Full description

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

id	doaj-c06b205f20114913916003b244b0c2c7
record_format	Article
spelling	doaj-c06b205f20114913916003b244b0c2c72020-11-24T23:20:06ZengUIKTENTEM Journal2217-83092217-83332015-05-0132120126System for Detection of Network Threats based on ClassifiersBilgin DemirZoran GacovskiVladimir PivovarovLidija GoracinovaIn 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. http://www.temjournal.com/documents/vol3no2/4/System%20for%20Detection%20of%20Network%20Threats%20based%20on%20Classifiers.pdfNetwork vulnerabilitiesIntrusion detectionClassification methods
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Bilgin Demir Zoran Gacovski Vladimir Pivovarov Lidija Goracinova
spellingShingle	Bilgin Demir Zoran Gacovski Vladimir Pivovarov Lidija Goracinova System for Detection of Network Threats based on Classifiers TEM Journal Network vulnerabilities Intrusion detection Classification methods
author_facet	Bilgin Demir Zoran Gacovski Vladimir Pivovarov Lidija Goracinova
author_sort	Bilgin Demir
title	System for Detection of Network Threats based on Classifiers
title_short	System for Detection of Network Threats based on Classifiers
title_full	System for Detection of Network Threats based on Classifiers
title_fullStr	System for Detection of Network Threats based on Classifiers
title_full_unstemmed	System for Detection of Network Threats based on Classifiers
title_sort	system for detection of network threats based on classifiers
publisher	UIKTEN
series	TEM Journal
issn	2217-8309 2217-8333
publishDate	2015-05-01
description	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.
topic	Network vulnerabilities Intrusion detection Classification methods
url	http://www.temjournal.com/documents/vol3no2/4/System%20for%20Detection%20of%20Network%20Threats%20based%20on%20Classifiers.pdf
work_keys_str_mv	AT bilgindemir systemfordetectionofnetworkthreatsbasedonclassifiers AT zorangacovski systemfordetectionofnetworkthreatsbasedonclassifiers AT vladimirpivovarov systemfordetectionofnetworkthreatsbasedonclassifiers AT lidijagoracinova systemfordetectionofnetworkthreatsbasedonclassifiers
_version_	1725576020152549376

System for Detection of Network Threats based on Classifiers

Similar Items