Incentive-Based Search algorithm in Unstructured P2P Networks

The predominant search schemes in unstructured P2P systems have their common problems:Flooding algorithms produce large amounts of network overhead as well as the random walk generated query delay,both use uniform Time-to-Live(TTL)control for all users,which makes them vulnerable to selfish user attacks,and results in search performance degradation.In this paper,we propose a incentive-based Self-optimized search algorithm(ISS),ISS provides differentiated search service for selfish users and ties a user 's contribution to its service level,which comprehensive constraint selfish user behavior,to improve search performance.Simulation results show that the ISS without sacrificing query hit rate in the case can always reduce the search overhead.