Analysis of Data and Traffic Management during Privacy Preservation in Secure Multiparty Computation

A protocol is secure if the parties who want to compute their inputs hands it to the trusted 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? Consideringdifferent probabilities for the malicious users, we have tried tofind out the correctness of the result and percentage of systemacceptability. 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. In this paper, we also propose the methodology and design an algorithm to control congestion during Secure Multiparty Computation (SMC). As per our literature serve a lot of work has been done in SMC but they have worked only the mainpart of the SMC, privacy and correctness. Congestion control is one of the important components for the performance of the network and also is the most challenging one. In our previous research we assumed that the communication between party and anonymizer is secure, but if any anonymizer becomes malicious then entire data of one party can be hacked. In this protocol, to maintain the security between party and anonymizer we have partitioned the data in number of packets before sending to anonymizer. We propose the framework in the form of a protocol for secure multi-party computation. This protocol maintains the security when we transfer the data between party and anonymizer. This paper deals with the way of shaping the traffic to improve quality of service (QoS) in SMC. Since on increasing the number of packets there may be a problem of congestion and under the congestion situation, the queue length may become very large in a short time, resulting in buffer overflow and packet loss. So congestion control is necessary to ensure that users get the negotiated QoS. The objectives of traffic control andcongestion control for SMC are: Support a set of QoS parameters and minimize network and end-system complexity while maximizing network utilization.In our paper we also carried out experiments for computingthe FIFO length that ensures zero packet loss for differentclock rate of the router.