NDLI: Privacy prevention based on trust model for P2P streaming systems

Content Provider	IEEE Xplore Digital Library
Author	Yong Wang Kerui Huang Bin Wang Zhiguang Qin Ge Huang
Copyright Year	2010
Description	Author affiliation: Dept. of computer science, Sichuan University, Chengdu, China (Ge Huang) \|\| Dept. of computer science, University of Electronic and Science Technology of China, Chengdu, China (Yong Wang; Kerui Huang; Bin Wang; Zhiguang Qin)
Abstract	In P2P streaming networks, the main sources of illegal media contents sharing are streaming clients who ignore copyright laws and provide contents deliver services. To stop illegally media contents sharing activities with the boundary of a P2P streaming network, we propose a time-space dynamic trust model for legalizing peers' content delivery services. We incorporate time dimension using time-frame, which captures experience and recommendation's time-sensitivity. At the same time, we introduce space dimension using IP addresses, which reflects the peers' physical locations and relations. Together, these two dimensions are adjusted using positive feedback control mechanism, thus, trust valuation can reflect the dynamics of the trust environment. Theoretical analysis and simulation results show that, out proposed trust model has advantages in modeling time-space dynamic trust relationship. It is capable to detect and penalize the illegally media contents sharing peers, as well as those that exhibit malicious behavior. Moreover, the trust model can filter out dishonest peers effectively.
Starting Page	231
Ending Page	235
File Size	825269
Page Count	5
File Format	PDF
ISBN	9781424482245
e-ISBN	9781424482252
DOI	10.1109/ICCCAS.2010.5582008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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