Cloud Audit: A Data Integrity Verification Approach for Cloud Computing

Cloud computing is the fastest growing and promising field in the sector of service provision. It is a very trendy situation for security implementation in the Cloud. Thus, security restrictions are increasing on users and service providers as the growth of Cloud environment. The purpose of this paper is to suggest a better and efficient integrity verification technique for data (referred as "Cloud Audit"). The building blocks of our technique are a variant of the Paillier homomorphic cryptography system with homomorphic tag and combinatorial batch codes. A Paillier Homomorphic Cryptography (PHC) system used to obtain homomorphic encryption on data blocks. Homomorphic tags along with the Paillier cryptography system assigns a special verifiable value to each data block, which helps us in unleashing data operations on this block. Combinatorial batch codes are used to assign and store integral data into different distributed cloud sever. To demonstrate our approach, we have implemented an application based on Hadoop and MapReduce framework. We have tested this application based on various parameters. Effectiveness of the proposed method has been shown by the experimental results. Our method has shown large improvement over the other modern methods. (C) 2016 The Authors. Published by Elsevier B.V.