NDLI: Peer-to-peer system-based active worm attacks: modeling and analysis

Content Provider	IEEE Xplore Digital Library
Author	Wei Yu Boyer, C. Chellappan, S. Dong Xuan
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA (Wei Yu)
Abstract	Recent active worm propagation events show that active worms can spread in an automated fashion and flood the Internet in a very short period of time. Due to the recent surge of peer-to-peer (P2P) systems with large numbers of users, P2P systems can be a potential vehicle for the active worms to achieve fast worm propagation in the Internet. In this paper, we address the issue of the impacts of active worm propagation on top of P2P systems. In particular: (1) we define a P2P system based active worm attack model and study two attack strategies (an off-line and on-line strategy) under the defined model; (2) we develop an analytical approach to analyze the propagation of active worms under the defined attack models and conduct an extensive study to the impacts of P2P system parameters, such as size, topology degree, and the structured/unstructured properties on active worm propagation. Based on numerical results, we observe that a P2P-based attack can significantly worsen attack effects (improve attack performance), and we observe that the speed of worm propagation is very sensitive to P2P system parameters. We believe that our work can provide important guidelines in design and control of P2P systems as well as overall active worm defense.
Starting Page	295
Ending Page	300
File Size	250787
Page Count	6
File Format	PDF
ISBN	0780389387
DOI	10.1109/ICC.2005.1494364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-16
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Computer worms Internet Surges Vehicles Routing Computer science Control systems Computer crime IP networks
Content Type	Text
Resource Type	Article

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