Secure Multiparty Computation and Secret Sharing

Book Cover

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 any 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.

Table of Contents

Errata and Addenda

There is an errata list[pdf] along with an addenda list of recent developments in MPC and Secret Sharing and further comments on some of the material on the book.

Buying the Book

Can be bought at Cambridge University Press.