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OJBTM
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
ABSTRACT
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.
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