Andrii Kryshchuk

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A new DNS-based anti-evasion technique for botnets detection is proposed. It is based on a cluster analysis of the features obtained from the payload of DNS-messages. The method uses a semi-supervised fuzzy c-means clustering. Usage of the developed method makes it possible to detect botnets that use the DNS-based evasion techniques with high efficiency.
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(More)
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