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, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Tian, Daxin
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
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
Keyword(s) computer network security
traffic modeling
network attack
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
Collection: School of Information Technology
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 515 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Wed, 23 Mar 2011, 13:15:45 EST by Sandra Dunoon

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.