2009 | OriginalPaper | Buchkapitel
Efficient Robust Private Set Intersection
verfasst von : Dana Dachman-Soled, Tal Malkin, Mariana Raykova, Moti Yung
Erschienen in: Applied Cryptography and Network Security
Verlag: Springer Berlin Heidelberg
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Computing Set Intersection privately and efficiently between two mutually mistrusting parties is an important basic procedure in the area of private data mining. Assuring robustness, namely, coping with potentially arbitrarily misbehaving (i.e., malicious) parties, while retaining protocol efficiency (rather than employing costly generic techniques) is an open problem. In this work the first solution to this problem is presented.