A microscopic competition model and its dynamics analysis on network attacks Xiang, Yang, Tian, Daxin and Zhou, Wanlei 2010, A microscopic competition model and its dynamics analysis on network attacks, Concurrency computation practice and experience, vol. 22, no. 4, Special Issue: Advances in High-Performance Computing and Communications, pp. 503-517, doi: 10.1002/cpe.1499. Attached Files Name Description MIMEType Size Downloads Title A microscopic competition model and its dynamics analysis on network attacks Author(s) Xiang, Yang orcid.org/0000-0001-5252-0831 Tian, Daxin Zhou, Wanlei Journal name Concurrency computation practice and experience Volume number 22 Issue number 4 Season Special Issue: Advances in High-Performance Computing and Communications Start page 503 End page 517 Total pages 15 Publisher John Wiley & Sons Place of publication West Sussex, England Publication date 2010-03-25 ISSN 1532-0626 1532-0634 Keyword(s) computer network security traffic modeling network attack DDoS adaptive resonance theory Summary Modeling network traffic has been a critical task in the development of Internet. Attacks and defense are prevalent in the current Internet. Traditional network models such as Poisson-related models do not consider the competition behaviors between the attack and defense parties. In this paper, we present a microscopic competition model to analyze the dynamics among the nodes, benign or malicious, connected to a router, which compete for the bandwidth. The dynamics analysis demonstrates that the model can well describe the competition behavior among normal users and attackers. Based on this model, an anomaly attack detection method is presented. The method is based on the adaptive resonance theory, which is used to learn the model by normal traffic data. The evaluation shows that it can effectively detect the network attacks. Notes Article first published online 23 Sep 2009 Language eng DOI 10.1002/cpe.1499 Field of Research 080503 Networking and Communications Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal HERDC collection year 2010 Copyright notice ©2010, John Wiley & Sons Persistent URL http://hdl.handle.net/10536/DRO/DU:30033628 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 23 Mar 2011, 13:15:54 EST Wed, 23 Mar 2011, 13:18:38 EST Wed, 30 Mar 2011, 09:25:53 EST Mon, 11 Apr 2011, 11:18:55 EST Mon, 11 Apr 2011, 11:19:31 EST Mon, 11 Apr 2011, 11:21:09 EST Tue, 12 Apr 2011, 14:11:20 EST Fri, 15 Apr 2011, 11:29:57 EST Thu, 16 Jun 2011, 13:38:41 EST Wed, 15 Feb 2012, 13:09:40 EST Thu, 23 Feb 2012, 11:53:50 EST Thu, 28 Nov 2013, 13:22:10 EST Mon, 16 Jun 2014, 17:39:25 EST Wed, 27 Aug 2014, 22:35:45 EST Fri, 17 Oct 2014, 10:42:12 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 735 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 23 Mar 2011, 13:15:45 EST by Sandra Dunoon