Privacy-preserving graph algorithms in the semi-honest model

Privacy-preserving graph algorithms in the semi-honest model (2005)

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by Justin Brickell , Vitaly Shmatikov

Venue:	In ASIACRYPT, LNCS
Citations:	12 - 0 self

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@INPROCEEDINGS{Brickell05privacy-preservinggraph,
    author = {Justin Brickell and Vitaly Shmatikov},
    title = {Privacy-preserving graph algorithms in the semi-honest model},
    booktitle = {In ASIACRYPT, LNCS},
    year = {2005},
    pages = {236--252},
    publisher = {Springer-Verlag}
}

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Abstract

Abstract. We consider scenarios in which two parties, each in possession of a graph, wish to compute some algorithm on their joint graph in a privacy-preserving manner, that is, without leaking any information about their inputs except that revealed by the algorithm’s output. Working in the standard secure multi-party computation paradigm, we present new algorithms for privacy-preserving computation of APSD (all pairs shortest distance) and SSSD (single source shortest distance), as well as two new algorithms for privacy-preserving set union. Our algorithms are significantly more efficient than generic constructions. As in previous work on privacy-preserving data mining, we prove that our algorithms are secure provided the participants are “honest, but curious.”

Citations

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