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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.