Computational model based on the reputation incentive and punishment mechanism in P2P environments
Sun Hua1, Yu Jiong1, Zhang Zhenyu2, Jiang Hong1
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 1068-1073
1School of Software, Xinjiang University, Urumqi 830008, China
2School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
Rating reputation of the peers is a key problem in P2P environments, a computational reputation model based on incentive and punishment mechanism is proposed. This model considers both direct and indirect transactions with target peers before their next transactions. The mechanism puts different weights to get the value of reputation, and the model incents the good behaviours and punishes the bad ones through adjustment factor. Through experiment, the model can hold back malicious peers and ensure higher success transaction rate.