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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.

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Title A microscopic competition model and its dynamics analysis on network attacks
Author(s) Xiang, Yang
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 Ltd
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
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 ©2009, John Wiley & Sons, Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30033628

Document type: Journal Article
Collection: School of Information Technology
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