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 Online Journal of Bioinformatics ©

Volume 12(1):115-138, 2011

Algorithm to detect Denial of Service (DDoS) in Gnutella hybrid P2P network mapped to artificial immune system.


Mueen Uddin, Azizah Abdul Rahman


Department of Information Systems, Universiti Teknologi Malaysia Johor Malaysia




Uddin M, Rahman AA, Algorithm to detect denial of service(DDoS) in Gnutella hybrid P2P network mapped to artificial immune system, Online J Bioinformatics 12(1):115-138, 2011. Distributed Denial of Service (DDoS) attacks are an increasing threat to the Internet community. Intrusion detection systems have become a key component in ensuring the safety of systems and networks. As networks grow in size and speed, efficient scalable techniques should be available for IDS systems. Gnutella, a peer to-peer networking model, currently provides decentralized file-sharing capabilities to users, but the distinction between server and client is pale. Due to Gnutella’s dependence on a central unit, it is vulnerable to security breaches. An anomaly and signature-based system to detect DDoS attacks by simulating/mapping an artificial immune system to Gnutella is herein described. Each time an attack is identified, a new generation is added to the detectors dataset. As false positives decrease, attack detection increases.


Keywords: Gnutella hybrid peer to peer network, artificial immune system, DDoS attack, signature based IDS, anomaly based IDS.