Title :
Detecting Malicious Peers in Overlay Multicast Streaming
Author :
Shetty, Samarth ; Galdames, Patricio ; Tavanapong, Wallapak ; Cai, Ying
Author_Institution :
Dept. of Comput. Sci., Iowa State Univ.
Abstract :
Overlay multicast streaming is built out of loosely coupled end-hosts (peers) that contribute resources to stream media to other peers. Peers, however, can be malicious. They may intentionally wish to disrupt the multicast service or cause confusions to other peers. We propose two new schemes to detect malicious peers in overlay multicast streaming. These schemes compute a level of trust for each peer in the network. Peers with a trust value below a threshold are considered to be malicious. Results from our simulations indicate that the proposed schemes can detect malicious peers with medium to high accuracy, depending on cheating patterns and malicious peer percentages
Keywords :
media streaming; multicast communication; peer-to-peer computing; malicious peers detection; media streaming; multicast service; overlay multicast streaming; Computational modeling; Computer crime; Computer networks; Computer science; Delay; Fault detection; Feedback; Peer to peer computing; Streaming media; Telecommunication traffic;
Conference_Titel :
Local Computer Networks, Proceedings 2006 31st IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-0418-5
Electronic_ISBN :
0742-1303
DOI :
10.1109/LCN.2006.322145