Secure Multiparty Computation and Secret Sharing

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Reference & Language, Reference
Cover of the book Secure Multiparty Computation and Secret Sharing by Ronald Cramer, Ivan Bjerre Damgård, Jesper Buus Nielsen, Cambridge University Press
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Author: Ronald Cramer, Ivan Bjerre Damgård, Jesper Buus Nielsen ISBN: 9781316365403
Publisher: Cambridge University Press Publication: July 15, 2015
Imprint: Cambridge University Press Language: English
Author: Ronald Cramer, Ivan Bjerre Damgård, Jesper Buus Nielsen
ISBN: 9781316365403
Publisher: Cambridge University Press
Publication: July 15, 2015
Imprint: Cambridge University Press
Language: English

In a data-driven society, individuals and companies encounter numerous situations where private information is an important resource. How can parties handle confidential data if they do not trust everyone involved? This text is the first to present a comprehensive treatment of unconditionally secure techniques for multiparty computation (MPC) and secret sharing. In a secure MPC, each party possesses some private data, while secret sharing provides a way for one party to spread information on a secret such that all parties together hold full information, yet no single party has all the information. The authors present basic feasibility results from the last 30 years, generalizations to arbitrary access structures using linear secret sharing, some recent techniques for efficiency improvements, and a general treatment of the theory of secret sharing, focusing on asymptotic results with interesting applications related to MPC.

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In a data-driven society, individuals and companies encounter numerous situations where private information is an important resource. How can parties handle confidential data if they do not trust everyone involved? This text is the first to present a comprehensive treatment of unconditionally secure techniques for multiparty computation (MPC) and secret sharing. In a secure MPC, each party possesses some private data, while secret sharing provides a way for one party to spread information on a secret such that all parties together hold full information, yet no single party has all the information. The authors present basic feasibility results from the last 30 years, generalizations to arbitrary access structures using linear secret sharing, some recent techniques for efficiency improvements, and a general treatment of the theory of secret sharing, focusing on asymptotic results with interesting applications related to MPC.

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