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Development of a Scalable System for Stealthy P 2 P Botnet Detection

Peer-to-peer (P2P) botnets are the modern and most resilient bot structure which might be more difficult to take down and stealthier to notice their malicious activity, in view that of which these are adopted by means of the various recent botmasters. In this paper, we recommend a novel botnet detection process which is ready to identify resilient P2P botnets. Our method at the beginning identifies the p2p communications present within the network. It then derives p2p traffic and further distinguishes between the botnet generated traffic and legitimate traffic. The parallelized computation makes scalability a default function of our process. Excessive detection accuracy and prodigious scalability are the extra features of our proposed process. Keywords—Botnet, network security, P2P, intrusion detection.