DocumentCode
1718164
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.
fYear
2006
Firstpage
499
Lastpage
506
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks, Proceedings 2006 31st IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0742-1303
Print_ISBN
1-4244-0418-5
Electronic_ISBN
0742-1303
Type
conf
DOI
10.1109/LCN.2006.322145
Filename
4116592
Link To Document