Privacy Prevention Based on Trust Model for P2P Streaming Systems
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.
Yong WANG Kerui HUANG Bin WANG Zhiguang QIN Ge HUANG
Dept. of computer science, University of Electronic and Science Technology of China, Chengdu, China Dept. of computer science, Sichuan University, Chengdu, China
国际会议
2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)
成都
英文
231-235
2010-06-28（万方平台首次上网日期，不代表论文的发表时间）