Secure Multiparty Computation (SMC) enables untrusting parties to jointly compute a function on their respective inputs without revealing any information but the outcome. Almost all techniques for SMC support only integer inputs and operations. We present a secure scaling protocol for two parties to map real number inputs into integers without revealing any information about their respective inputs. The main component is a novel algorithm for privacy-preserving random number generation. We also show how to implement the protocol using Yao's garbled circuit technique. © 2012 Springer-Verlag.
CITATION STYLE
Henecka, W., Bean, N., & Roughan, M. (2012). Conversion of real-numbered privacy-preserving problems into the integer domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7618 LNCS, pp. 131–141). https://doi.org/10.1007/978-3-642-34129-8_12
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