©1996-2019. All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribute on is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.
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.