NDLI: A practical approach to solve Secure Multi-party Computation problems

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A practical approach to solve Secure Multi-party Computation problems

Content Provider	ACM Digital Library
Author	Du, Wenliang Zhan, Zhijun
Abstract	Secure Multi-party Computation (SMC) problems deal with the following situation: Two (or many) parties want to jointly perform a computation. Each party needs to contribute its private input to this computation, but no party should disclose its private inputs to the other parties, or to any third party. With the proliferation of the Internet, SMC problems becomes more and more important. So far no practical solution has emerged, largely because SMC studies have been focusing on zero information disclosure, an ideal security model that is expensive to achieve.Aiming at developing practical solutions to SMC problems, we propose a new paradigm, in which we use an acceptable security model that allows partial information disclosure. Our conjecture is that by lowering the restriction on the security, we can achieve a much better performance. The paradigm is motivated by the observation that in practice people do accept a less secure but much more efficient solution because sometimes disclosing information about their private data to certain degree is a risk that many people would rather take if the performance gain is so significant. Moreover, in our paradigm, the security is adjustable, such that users can adjust the level of security based on their definition of the acceptable security. We have developed a number of techniques under this new paradigm, and are currently conducting extensive studies based on this new paradigm.
Starting Page	127
Ending Page	135
Page Count	9
File Format	PDF
ISBN	158113598X
DOI	10.1145/844102.844125
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-09-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Secure multi-party computation Privacy Security
Content Type	Text
Resource Type	Article

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