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Privacy-Preserving String Edit Distance with Moves

机译:保留隐私字符串编辑与移动的距离

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We propose the first two-party protocol for securely computing an extended edit distance. The parties possessing their respective strings x and y want to securely compute the edit distance with move operations (EDM), that is, the minimum number of insertions, deletions, renaming of symbols, or substring moves required to transform x to y. Although computing the exact EDM is NP-hard, there exits an almost linear-time algorithm within the approximation ratio O(lg* N lg N) for N = max{|x|, |y|}, We extend this algorithm to the privacy-preserving computation enlisting the homomorphic encryption scheme so that the party can obtain the approximate EDM without revealing their privacy under the semi-honest model.
机译:我们提出了第一个安全计算扩展编辑距离的双方协议。拥有其各自的字符串x和y的各方希望将编辑距离与移动操作(EDM)进行安全地计算,即,将x到y转换为y所需的最小插入,删除,重命名,或者子字符串移动。虽然计算精确的EDM是NP - 硬,但是对于n = max {| x |,| x |,| y |},在近似比O(lg * n lg n)内出现几乎线性时算法,我们将该算法扩展到保留了隐私保留计算征募了同性恋加密方案,使方可以获得近似EDM,而不会在半诚实模型下揭示他们的隐私。

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