Fuzzy Private Matching (Extended Abstract)

Lukasz Chmielewski, Jaap-Henk Hoepman
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6esmd4ad3namzfggdse6okxdte" style="color: black;">2008 Third International Conference on Availability, Reliability and Security</a> </i> &nbsp;
In the private matching problem, a client and a server each hold a set of n input elements. The client wants to privately compute the intersection of these two sets: he learns which elements he has in common with the server (and nothing more), while the server gains no information at all. In certain applications it would be useful to have a fuzzy private matching protocol that reports a match even if two elements are only similar instead of equal. We consider this fuzzy private matching
more &raquo; ... in a semi-honest environment. First we show that the original solution proposed by Freedman et al. [9] is incorrect. Subsequently we present two fuzzy private matching protocols. The first, simple, protocol has a large bit message complexity. The second protocol improves this, but here the client incurs a O(n) factor time complexity.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ares.2008.170">doi:10.1109/ares.2008.170</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/IEEEares/ChmielewskiH08.html">dblp:conf/IEEEares/ChmielewskiH08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/of2ofpydrve23j5pdgd2wo5g7y">fatcat:of2ofpydrve23j5pdgd2wo5g7y</a> </span>
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