Abstract
This paper examines secure two-party computation of functions which depend only on the Hamming distance of the inputs of the two parties. We present efficient protocols for computing these functions. In particular, we present protocols which are secure in the sense of full simulatability against malicious adversaries. We show different applications of this family of functions, including a protocol we call m-point-SPIR, which is an efficient variant of symmetric private information retrieval (SPIR). It can be used if the server's database contains N entries, at most N/logN of which have individual values, and the rest are set to some default value. This variant of PIR is unique since it can be based on the existence of OT alone. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Jarrous, A., & Pinkas, B. (2009). Secure hamming distance based computation and its applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5536 LNCS, pp. 107–124). https://doi.org/10.1007/978-3-642-01957-9_7
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