Conversion of real-numbered privacy-preserving problems into the integer domain
Date
2012
Authors
Henecka, W.
Bean, N.
Roughan, M.
Editors
Chim, T.W.
Yuen, T.H.
Yuen, T.H.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Lecture Notes in Artificial Intelligence, 2012 / Chim, T.W., Yuen, T.H. (ed./s), vol.7618 LNCS, pp.131-141
Statement of Responsibility
Wilko Henecka, Nigel Bean, and Matthew Roughan
Conference Name
14th International Conference, ICICS 2012 (29 Oct 2012 - 31 Oct 2012 : Hong Kong, China)
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.
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© Springer-Verlag Berlin Heidelberg 2012