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Privacy Preserving Data Sharing With Anonymous ID Assignment

机译:带有匿名ID分配的隐私保护数据共享

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摘要

An algorithm for anonymous sharing of private data among $N$ parties is developed. This technique is used iteratively to assign these nodes ID numbers ranging from 1 to $N$. This assignment is anonymous in that the identities received are unknown to the other members of the group. Resistance to collusion among other members is verified in an information theoretic sense when private communication channels are used. This assignment of serial numbers allows more complex data to be shared and has applications to other problems in privacy preserving data mining, collision avoidance in communications and distributed database access. The required computations are distributed without using a trusted central authority.
机译:开发了一种在$ N $各方之间匿名共享私有数据的算法。迭代地使用此技术来分配这些节点ID编号,范围从1到$ N $。该分配是匿名的,因为该组的其他成员不知道收到的身份。当使用专用通信信道时,可以从信息论的角度验证对其他成员之间的合谋抵制。序列号的这种分配允许共享更复杂的数据,并将其应用于隐私保护数据挖掘,通信中避免冲突和分布式数据库访问中的其他问题。无需使用受信任的中央机构即可分发所需的计算。

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