期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9527
DOI：10.15680/IJIRCCE.2017.0505141
出版社：S&S Publications
摘要：Secure Multiparty Computation (SMC) permits a collection of users wants to decide some methods ontheir various inputs whereas keeping these inputs encrypted throughout the computation. In several situations, however,outsourcing these computations to untrusted server is fascinating, in order that the server will perform the computationinstead of the users. But some of the solutions that are existing are inefficient, largely depends on user interaction, or asame key is required to encrypt the inputs —drawbacks creating the use in follow terribly restricted. For avoiding allthese drawbacks we are proposing a construction: it is systematic, it doesn’t need any user interaction whatever (exceptfor knowledge up- and download), and it permits evaluating any dynamically chosen function on inputs encryptedunder various public keys. Two non-colluding untrusted servers will together perform the computation by measure thecryptographic protocol. The cryptographic protocol mostly secure in the semi-honest model. We are exploring theinterface of the result with two real-world situations with different domains: Privacy-Preserving Face Recognition andPrivate Smart Metering. Finally, we have a tendency to provide the performance analysis of our general construction tospotlight its practicability.
