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Secure Multiparty Computation and Secret Sharing - Ivan Bjerre Damgård,Jesper Buus Nielsen,Ronald Cramer

English
2018-05-24
€144.85 €181.06

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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 pr ... Full description

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Description

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.

More Information

Author Ivan Bjerre Damgård, Jesper Buus Nielsen, Ronald Cramer
Publisher Cambridge University Press
Release year 2018
Cover type Hardcover
EAN 9781107043053
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€144.85 €181.06