Full Text:   <4305>

CLC number: TP309.5; TP393.08

On-line Access: 2010-01-01

Received: 2009-03-14

Revision Accepted: 2009-11-11

Crosschecked: 2009-10-31

Cited: 8

Clicked: 11173

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.2 P.119-129


Proactive worm propagation modeling and analysis in unstructured peer-to-peer networks

Author(s):  Xiao-song ZHANG, Ting CHEN, Jiong ZHENG, Hua LI

Affiliation(s):  School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; more

Corresponding email(s):   chenting19870201@163.com

Key Words:  Proactive peer-to-peer (P2P) worm propagation modeling, Network topology, Configuration diversity, Attack and defense strategies, Four-factor model

Xiao-song ZHANG, Ting CHEN, Jiong ZHENG, Hua LI. Proactive worm propagation modeling and analysis in unstructured peer-to-peer networks[J]. Journal of Zhejiang University Science C, 2010, 11(2): 119-129.

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%T Proactive worm propagation modeling and analysis in unstructured peer-to-peer networks
%A Xiao-song ZHANG
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%A Jiong ZHENG
%A Hua LI
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910488

T1 - Proactive worm propagation modeling and analysis in unstructured peer-to-peer networks
A1 - Xiao-song ZHANG
A1 - Ting CHEN
A1 - Jiong ZHENG
A1 - Hua LI
J0 - Journal of Zhejiang University Science C
VL - 11
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SP - 119
EP - 129
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C0910488

It is universally acknowledged by network security experts that proactive peer-to-peer (P2P) worms may soon engender serious threats to the Internet infrastructures. These latent threats stimulate activities of modeling and analysis of the proactive P2P worm propagation. Based on the classical two-factor model, in this paper, we propose a novel proactive worm propagation model in unstructured P2P networks (called the four-factor model) by considering four factors: (1) network topology, (2) countermeasures taken by Internet service providers (ISPs) and users, (3) configuration diversity of nodes in the P2P network, and (4) attack and defense strategies. Simulations and experiments show that proactive P2P worms can be slowed down by two ways: improvement of the configuration diversity of the P2P network and using powerful rules to reinforce the most connected nodes from being compromised. The four-factor model provides a better description and prediction of the proactive P2P worm propagation.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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Open peer comments: Debate/Discuss/Question/Opinion


Xiao Shengfang

2010-03-28 19:48:35

An interesting model with exhaustive analysis. I strongly recommend this paper.


2010-03-17 21:48:11

Nice paper. May I have further discussion on this topic with you, sir?


2010-01-09 18:26:17

It's too difficult for me to understand it , good good good


2010-01-09 18:21:15

just so so

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