This paper aims at studying privacy-preserving tests for proximity. In a private proximity test, Alice can verify if she is close to Bob without either party revealing any other information about their location. We propose a system for private proximity testing based on the pre-distribution of data: the so-called commodity-based model. Our system is proven secure in the Universal Composability (UC) framework and uses as the core building block an efficient UC-secure equality testing protocol. To our knowledge this is the first work in the literature that contemplates this problem in the UC framework. © 2011 Springer-Verlag.
CITATION STYLE
Tonicelli, R., David, B. M., & De Morais Alves, V. (2011). Universally composable private proximity testing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6980 LNCS, pp. 222–239). https://doi.org/10.1007/978-3-642-24316-5_16
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