Literature Survey on Secure Multiparty Anonymous Data Sharing

Literature Survey on Secure Multiparty Anonymous Data Sharing

The popularity of internet as a communication medium whether for personal or business requires anonymous communication in various ways. Businesses also have legitimate reasons to make communication anonymous and avoid the consequences of identity revelation. The problem of sharing privately held data so that the individuals who are the subjects of the data cannot be identified has been research...

MCMix: Anonymous Messaging via Secure Multiparty Computation

We present MCMix, an anonymous messaging system that completely hides communication metadata and can scale in the order of hundreds of thousands of users. Our approach is to isolate two suitable functionalities, called dialing and conversation, that when used in succession, realize anonymous messaging. With this as a starting point, we apply secure multiparty computation (“MC” or MPC) and proce...

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 poss...

Unconditionally Secure Multiparty Computation and Secret Sharing

We suggest protocols for secure computation of the sum, product, and some other functions of three or more elements of an arbitrary constructible ring, without using any one-way functions. A new input that we offer here is that, in contrast with other proposals, we conceal “intermediate results” of a computation, i.e., we do not let any party accumulate functions of other parties’ private numbe...

Secure Multiparty Computation and Secret Sharing - An Information Theoretic Appoach