Secure Multiparty Computation and Secret Sharing by Ivan Bjerre Damgard, Jesper Buus Nielsen, Ronald Cramer (Hardcover, 2015)

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Product Information

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.

Product Identifiers

PublisherCambridge University Press
ISBN-139781107043053
eBay Product ID (ePID)213283339

Product Key Features

Number of Pages381 Pages
Publication NameSecure Multiparty Computation and Secret Sharing
LanguageEnglish
SubjectComputer Science
Publication Year2015
TypeTextbook
AuthorIvan Bjerre Damgard, Jesper Buus Nielsen, Ronald Cramer
FormatHardcover

Dimensions

Item Height262 mm
Item Weight860 g
Item Width186 mm

Additional Product Features

Country/Region of ManufactureUnited Kingdom
Title_AuthorIvan Bjerre Damgard, Jesper Buus Nielsen, Ronald Cramer

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