Title :
Joint pollution detection and attacker identification in peer-to-peer live streaming
Author :
Hu, Bo ; Zhao, H. Vicky
Author_Institution :
ECE Dept., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In the emerging peer-to-peer (P2P) live streaming, users cooperate with each other to support efficient delivery of video over networks. Pollution attack is an effective attack against P2P live streaming, where attackers upload useless data to their peers, which may cause distrust among users. To resist pollution attacks and stimulate user cooperation in P2P live streaming, this paper proposes a joint pollution detection and attacker identification system, where polluted chunks are detected as early as possible and trust management is used to identify polluters. We analyze its performance and propose different schemes to address the tradeoff between pollution resistance and system overhead. Our simulation results show that the proposed system can effectively resist pollution attacks while minimizing the user´s computation overhead.
Keywords :
multimedia communication; peer-to-peer computing; telecommunication security; video streaming; attacker identification; peer-to-peer live streaming; pollution attack resistance; pollution detection; trust management; user computation overhead; video over networks; Communications technology; Computational modeling; Decoding; Intelligent networks; Multimedia communication; Peer to peer computing; Performance analysis; Resists; Streaming media; Water pollution; Peer-to-peer live streaming; pollution attack; pollution detection; trust management;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496015