Network Intrusions Detection And Prevention Method Using A Team Of Intelligent Agents
Aleksei A. Sychugov (),
Vasiliy Yu. Meltsov,
Alexey S. Kuvaev and
Vyacheslav M. Grishin
Additional contact information
Aleksei A. Sychugov: Department of Information Security, Tula State University, 92 Lenin Ave., Tula, Russian Federation
Vasiliy Yu. Meltsov: Department of Electronic Computing Machines, Vyatka State University, 36 Moskovskaya Str., Kirov, Russian Federation
Alexey S. Kuvaev: Department of Electronic Computing Machines, Vyatka State University, 36 Moskovskaya Str., Kirov, Russian Federation
Vyacheslav M. Grishin: Department No. 604 “System Analysis and Management”, Moscow Aviation Institute, 4 Volokolamskoe shosse, Moscow, Russian Federation
Journal of Mechanical Engineering Research & Developments (JMERD), 2019, vol. 42, issue 2, 14-17
An intrusion is defined to be a violation of the security policy of the system; intrusion detection thus refers to the mechanisms that are developed to detect violations of system security policy. Intrusion detection is based on the assumption that intrusive activities are noticeably different from normal system activities and thus detectable. Also, there is a specific set of characteristics that can serve as a sign of anomalies caused by unauthorized intrusions. The authors introduced a multi-agent system for network attack detection with the help of the detecting of computer network malfunctions, caused by an unauthorized intrusion into the network. The study has showed that the proposed system can be applied to detect anomalies in real-time mode, which is the major advantage of the proposed system.
Keywords: Network attacks; rapid anomaly detection; proposed method; communication; incoming agent. (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:42:y:2019:i:2:p:14-17
Access Statistics for this article
Journal of Mechanical Engineering Research & Developments (JMERD) is currently edited by Distinguished Prof. T M Indra Mahlia
More articles in Journal of Mechanical Engineering Research & Developments (JMERD) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ().