The data protection of mapreduce using homomorphic encryption

MapReduce is a programming model which can handle big data efficiently, but the security of intermediate data of MapReduce is not well protected, and the operations on ciphertexts were not allowed. To achieve a trustworthy MapReduce, there is a need to both protect the data, as well as to allow specific types of computations to be carried out on encrypted intermediate data. Traditional encryption solutions can protect the data from being divulged, but they can't be used to compute on encrypt data, however a novel encryption scheme, called fully homomorphic encryption (FHE), could compute over encrypted data without decrypting it. In this paper, we propose a modified framework of MapReduce using homomorphic encryption, in order to gain both the confidentiality of data, as well as the ability of computing on them.