In this paper, we propose a new Virtual Party Protocol (VPP) protocol for Secure Multi-Party Computation (SMC). There are
many computations and surveys which involve confidential data from many parties or organizations. As the concerned data is
property of the organization or the party, preservation and security of this data is of prime importance for such type of
computations. Although the computation requires data from all the parties, but none of the associated parties would want to
reveal their data to the other parties. We have proposed a new protocol to perform computation on encrypted data. The data
is encrypted in a manner that it does not affect the result of the computation. It uses modifier tokens which are distributed
among virtual parties, and finally used in the computation. The computation function uses the acquired data and modifier tokens
to compute right result from the encrypted data. Thus without revealing the data, right result can be computed and privacy
of the parties is maintained. We have given a probabilistic security analysis and have also shown how we can achieve zero
hacking security with proper configuration.
Keywords Secure Multi-party Computation (SMC) - Information Security - Privacy - Protocol