Secure Multiparty Computation and Secret Sharing

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.Secure Multiparty Computation and Secret Sharing 1st Edition is written by Ronald Cramer; Ivan Bjerre Damg�rd; Jesper Buus Nielsen and published by Cambridge University Press. ISBNs for Secure Multiparty Computation and Secret Sharing are 9781316365403, 1316365409 and the print ISBNs are 9781107043053, 1107043050.