Distributed computing framework in security: Case study of encryption method

Abstract

Cloud computing has garnered increasing attention from researchers who have presented much work on performing massive computing tasks efficiently. Many security vulnerabilities have simultaneously occurred; therefore dealing with security problems in cloud computing has become an urgent issue. The purpose of this paper is to create a cloud computing framework based on the Map Reduce platform, a Google cloud-computing platform, and solve some security problems in the process of distributed computation. Inspired by SMC (Secure Multi-Party Computation), a protocol naturally suitable for distributed computation, we adopted homomorphic encryption, which could be used for processing a large amount of data securely in cloud computation. We also find that order preserving encryption(OPE), an encryption algorithm put forward in 2004, can be used in our secure framework. Cognizant of the applicability of SMC and OPE in cloud computing, we combine them with Map Reduce to design a security framework of distributed computation. Our major contributions consist of designing an innovative cloud computation framework in security based on Map Reduce, applying the order preserving encryption(OPE) algorithm, homomorphic encryption, and constructing a real distributed computation platform.