Secure Multiparty Computation and Secret Sharing

Language: English

Published by Cambridge University Press, GB, 2015

1107043050 / 9781107043053

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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.

Seller Inventory # LU-9781107043053

Title
Secure Multiparty Computation and Secret Sharing
Author
Ronald Cramer, Ivan Bjerre Damgård, Jesper Buus Nielsen
Publisher
Cambridge University Press, GB
Publication year
2015
Condition
New
Binding
Hardback
Language
English
ISBN 10
1107043050
ISBN 13
9781107043053
Edition
1st.
Item weight
860 grams
Dimensions
7 x 0.88 x 10 inches

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