Abstract
Peer-to-Peer (P2P) botnets are a significant threat to network security because of their distributed platform. The detection of these botnets becomes very difficult because of their decentralized nature and the situation worsens if an existing P2P network is exploited for botnetwork creation (parasite botnets). In this paper, we propose a two-tier detection framework to detect parasite P2P botnets. The approach can detect botnets in their waiting stage and without any requirement of bots’ signature. For detection of bots, we have considered two features: (i) long-living peers, search requests’ (ii) intensity and (iii) temporal correlated behaviour. The approach is able to detect bots from a monitored network with high detection accuracy. Keywords: peer-to-peer; botnets; botnet detection
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
