P2P reputation systems are useful to evaluate the trustworthiness of peers and to combat malicious and selfishpeer behaviors. The reputation system assigns each peer a global reputation scores through collecting locally generatedpeer feedbacks and aggregation. In traditional reputation system, a peer will rate the other by a score, after finished atransaction, No more detail of transaction are considered in the process. In order to solve this problem, we propose a novelreputation aggregation scheme, detail of transaction could be considered, based on set pair analysis (SPA). The empiricalevaluation results reveal that the proposed approach is scalable, accurate, robust, and fault-tolerant.
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