TsTlT: A Time-sensitive Two-level Trust Model Based on Reputation for Large-scale Peer-to-Peer Networks

Abstract

Almost all of reputation systems for P2P applications are purely decentralized, trust management is complicated and convergence speed of trust in node is slow; even in most of them cost of network is overwhelming due to adopt broadcast searching mechanism. We present a partially decentralized timesensitive reputation management model that has several advantages. Trust evaluator can define the valid period of trust evaluation based on own desire; Reputation system is efficient, convergence speed of trust is fast; Peers can receive more and better services; Furthermore it is scalable: network overhead is low; trust management is simple.