Secure Multiparty Computation during Privacy Preserving Data Mining: Inscrutability Aided Protocol for Indian Healthcare Sector

Internet today has put up a great challenge on the security for Indian Healthcare Sector. In today’s growing environment, most of the computation is jointly computed involving inputs of all the hospitals. Such computations use confidential data of the involved hospitals to compute the result. Each hospital is having confidential data which they would not like to share with other hospitals. Privacy preservation is of great concern as no hospital can be trusted in real scenario. In this paper we have proposed an efficient protocol for computation. This paper is an extension of our previous work in which we have defined and compared single and multi trusted third party protocol. This paper uses multi trusted third party protocol, in which TTPs are selected at runtime from a pool of TTPs and computation is performed by more than one TTP as TTPs can be corrupted and correctness in computation is a major concern. In this paper we proposed a secure protocol that uses encrypted inputs for computation to maintain privacy of inputs and inscrutablizers to make the identity of hospitals ambiguous. Besides this, security analysis is done for the protocol.