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.