Analysis of Data in Secure Multiparty Computation

A protocol is secure if the parties who want to compute their inputs hands it to the misted parties. Trusted parties in turn compute the inputs using the function f and give the result to the respective parties after computation in such a way that no party can identify other's party data. During computation of inputs, we had considered the factor, what if trusted third parties are malicious? Considering different probabilities for the malicious users, we have tried to find out the correctness of the result and percentage of system acceptability. We then tried to increase the number of TTP's in order to get the accuracy of the result. The aim of our proposed work is to identify what probability of malicious users will lead to the system in an unacceptable state.