An important challenge regarding peers’ trust valuation in peer-to-peer（P2P） systems was how to cope with such issues as dishonest feedbacks from malicious peers

collusions and complicatedly strategic frauds to the trust model itself

which could not be effectively tackled by the existing solutions.Thus

an incentive mechanism integrated trust management model for P2P networks

（IMTM） was proposed

to quantify and evaluate the trustworthiness of peers.Moreover

the related definitions and distributed implementation strategies of IMTM was also given.In IMTM

the recommendation credibility

composed of three factors

including the similarity characteristics

the altering scope of interaction experiences and the time fading feature of trust when interacting

was introduced to portray the extent to which the trustor trusted another recommender’s recommendations.Besides

the trusted service persistent intensity was imported to this model to promote peers to provide high-quality services to others continuously

and the risk mechanism was used to improve the sensitivity of this model.Additionally

based on the trust model

an adaptive reputation based incentive mechanism was presented.Through this mechanism

trusted peers could migrate to the centric position

while untrusted peers to the edge of the topology

incenting peers to provide more high-quality services in order to get more return on services.Theoretical analyses and experimental results demonstrate that IMTM has advantages in combating such malicious behaviors as the dishonest recommendations from malicious peers

collusions and the complicatedly strategic attacks to the trust model itself over the existing models

and show more adaptability

sensitivity and effectiveness.