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  • 标题:System for Detection of Network Threats based on Classifiers
  • 本地全文:下载
  • 作者:Bilgin Demir ; Zoran Gacovski ; Vladimir Pivovarov
  • 期刊名称:TEM Journal
  • 印刷版ISSN:2217-8309
  • 电子版ISSN:2217-8333
  • 出版年度:2014
  • 卷号:3
  • 期号:2
  • 页码:120-126
  • 语种:English
  • 出版社:UIKTEN
  • 摘要: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.
  • 关键词:Network vulnerabilities;Intrusion detection;Classification methods.
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