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Type: Conference paper
Title: Conversion of real-numbered privacy-preserving problems into the integer domain
Author: Henecka, W.
Bean, N.
Roughan, M.
Citation: Lecture Notes in Artificial Intelligence, 2012 / Chim, T.W., Yuen, T.H. (ed./s), vol.7618 LNCS, pp.131-141
Publisher: Springer
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science; 7618
ISBN: 9783642341281
ISSN: 0302-9743
Conference Name: 14th International Conference, ICICS 2012 (29 Oct 2012 - 31 Oct 2012 : Hong Kong, China)
Editor: Chim, T.W.
Yuen, T.H.
Statement of
Wilko Henecka, Nigel Bean, and Matthew Roughan
Abstract: 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.
Rights: © Springer-Verlag Berlin Heidelberg 2012
DOI: 10.1007/978-3-642-34129-8_12
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Appears in Collections:Aurora harvest 2
Mathematical Sciences publications

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