A reputation protocol computes the reputation of an entity by aggregating the feedback provided by other entities in the system. Reputation makes entities accountable for their behavior. Honest feed back is clearly a pre-requisite for accurate reputation scores. However, it has been observed that entities often hesitate in providing honest feed back, mainly due to the fear of retaliation. We present a privacy pre serving reputation protocol which enables entities to provide feedback in a private and thus uninhibited manner. The protocol, termed k-shares, is oriented for decentralized environments. The protocol has linear mes sage complexity under the semi-honest adversarial model, which is an improvement over comparable reputation protocols.
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