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Computing Multi-Party Trust Privately in O(n) Time Units Sending One (Possibly Large) Message at a Time

机译:以O(n)个时间单位私下计算多方信任,一次发送一个(可能是大)消息

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Schemes for multi-party trust computation are presented. The schemes do not make use of a Trusted Authority. The schemes are more efficient than previous schemes by the number of messages exchanged which is proportional to the number of participants rather than to a quadratic number of the participants. We note that in our schemes the length of each message may be larger than the message length of previous schemes. The calculation of a trust, in a specific user by a group of community members, starts upon a request of an initiating user. The trust computation is provided in a completely distributed manner, while each user calculates its trust value privately. Given a community C and its members (users) U_1,..., U_n, we present computationally secure schemes for trust computation. The first Accumulated Protocol AP computes the average trust in a specific user U_t upon the trust evaluation request initiated by a user U_n· The exact trust values of each queried user are not disclosed to U_n· The next Weighted Accumulated protocol WAP generates the average weighted trust in a specific user Ut taking into consideration the unrevealed trust that U_n has in each user participating in the trust process evaluation. We extend our schemes to the case when the initiating user U_n can be compromised by the adversary, and we introduce the Multiple Private Keys MPKP and the Multiple Private Keys Weighted MPWP protocols for computing average unweighted and weighted trust, respectively. The computation of all our algorithms requires the transmission of O(n) (possibly large) messages.
机译:提出了多方信任计算方案。这些计划不使用受信任的权威。通过交换的消息数量与参与者数量成正比,而不是与参与者的二次数量成正比,该方案比以前的方案更有效。我们注意到,在我们的方案中,每个消息的长度可能大于以前方案的消息长度。一组社区成员对特定用户的信任度的计算是根据发起用户的请求开始的。信任计算以完全分布式的方式提供,而每个用户私下计算其信任值。给定社区C及其成员(用户)U_1,...,U_n,我们提出了用于信任计算的计算安全方案。第一个累积协议AP根据用户U_n发起的信任评估请求,计算特定用户U_t的平均信任度。每个查询用户的确切信任值都不会泄露给U_n·下一个加权累积协议WAP生成平均加权信任度在特定用户Ut中,考虑到U_n在参与信任过程评估的每个用户中所拥有的未公开信任。我们将方案扩展到攻击者可能损害发起用户U_n的情况,并分别引入了多重私钥MPKP和多重私钥加权MPWP协议,分别计算平均未加权信任和加权信任。我们所有算法的计算都需要O(n)(可能很大)消息的传输。

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