Title
Fighting Pollution Attack in Peer-to-Peer Streaming Systems: A Dynamic Reputation Management Approach
Abstract
P2P streaming systems are popular applications on internet. However, due to the open nature, P2P streaming systems are vulnerable to malicious attacks, especially data pollution attacks. Reputation-based mechanisms are most effective mechanisms to defend data pollution attacks in P2P streaming systems. In this paper, we propose a dynamic reputation management. In our proposed mechanism, a peer's reputation consists of direct and indirect trust. The confidence factor is used to determine the weight of direct trust. We introduce Gompertz Function to adjust the confidence factor, the more interactions, the larger weight of direct trust value is. Besides, to lower the complexity of calculating indirect trust, we introduce threedegree of separation, which only includes neighbors within three degrees while calculating indirect trust. Simulation results show that our proposed reputation management scheme can effectively separate malicious peers, reduce the dissemination of polluted data chunks and defend various kinds of data pollution attacks.
Year
DOI
Venue
2016
10.1109/TSA.2016.14
2016 Third International Conference on Trustworthy Systems and their Applications (TSA)
Keywords
DocType
ISBN
Data Pollution Attack,Trust Management,Dynamic Confidence Factor,Three-degree of Influence,P2P Multimedia System
Conference
978-1-5090-3540-3
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Shiyu Wang15012.55
Kun Lu2154.00
Mingchu Li346978.10
Qilong Zhen400.68
Xiaoyu Che500.34