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Secure Multiparty Computation and Secret Sharing

By: Ronald Cramer,Ivan Bjerre Damgård,Jesper Buus Nielsen

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Secure Multiparty Computation and Secret Sharing

By: Ronald Cramer,Ivan Bjerre Damgård,Jesper Buus Nielsen

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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Page Count

385

Publisher

Cambridge University Press

Published Date

ISBN 10

1316368408

ISBN 13

9781316368404

Secure Multiparty Computation and Secret Sharing

By: Ronald Cramer,Ivan Bjerre Damgård,Jesper Buus Nielsen

Write a review Read reviews Take a Quiz Solve Book Puzzle

Secure Multiparty Computation and Secret Sharing

By: Ronald Cramer,Ivan Bjerre Damgård,Jesper Buus Nielsen

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

385

Publisher

Cambridge University Press

Published Date

ISBN 10

1316368408

ISBN 13

9781316368404