A NOVEL BOTNET DETECTION SYSTEM TO IDENTIFY RESILIENT P2P - BOTNET

Peer - to - peer (P2P) botnets are the modern and most resilient bot structures which are harder to take down and stealthi er to detect their malicious activities, because of which these are adopted by many of the recent botmasters. In this paper, we propose a novel botnet detection system which is capable to identify resilient P2P botnets. Our system initially identifies the p2p communication hosts present in the network. It then derives p2p traffic and further distinguishes between the botnet generated traffic and legitimate generated traffic. The parallelized computation makes scalability a default feature of our system. Hig h detection accuracy and prodigious scalability are the extra features of our proposed system