Title :
Botnet detection technique for corporate area network
Author :
Savenko, Oleg ; Lysenko, Sergii ; Kryshchuk, Andrii ; Klots, Yuriy
Author_Institution :
Dept. of Syst. Program., Khmelnitsky Nat. Univ., Khmelnitsky, Ukraine
Abstract :
A new approach for the botnet detection based on multi-agent system is proposed. For increasing of the efficiency of botnet detection the multi-agent system was involved that allowed to make botnet detection via agents´ communication within corporate network. A new technique with the usage of fuzzy and neural-fuzzy systems that makes the conclusion about botnet presence degree in computer systems is developed. The analysis of the botnets´ actions demonstrations in the situation of the intentionally computer system reconnection is performed. It takes into account the botnet demonstrations in the several computer systems which are available in the network.
Keywords :
computer network security; computer viruses; fuzzy neural nets; intranets; multi-agent systems; Trojans; agents communication; botnet detection; botnet presence degree; botnets actions demonstrations; computer system reconnection; corporate area network; multiagent system; neural-fuzzy systems; worm viruses; Computational modeling; Computers; Fuzzy logic; Malware; Monitoring; Multi-agent systems; Software; Trojan; adaptive neuro-fuzzy inference system; agent; antivirus detection; botnet; fuzzy logic; multi-agent system; sensor; worm-virus;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6662707
