Abstract :
Summary form only given. In this tutorial, we present several aspects of secure multi-party computation like privacy of Individuals, correctness of result and network traffic reductions. We first present the definition of this problem in various situations. Our definition is drawn from the previous idea and formulizations, and incorporate aspects that were previously overlooked. We also present several problems associated with SMC. Next we show the problem of hiding the data form trusted third party (TTP) which computes the result. We present the existing solutions of SMC along with the protocols developed by us. In our first solution, we introduced a randomly selected anonymizer between the parties and the TTP to hide the data. Apart from the randomly selection of anonymizer, the party will divide the data into number of packets and then send to different anonymizer so that the entire data will not reach to a single anonymizer and the privacy of individual will be maintained. After that, we present another problem, which enables the SMC to perform the correct computation of the result as well as the authentication of computational body. We have introduced multiple TTPs instead of a single one. If there is only one TTP then its behavior can be suspicious.
