On-demand Integrity Verification Technique for Cloud Data Storage.
R. K. Saxena, Somnath Dey · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING · 2018
Data Integrity Verification (DIV) is one of the primary security check for cloud data. Cloud users have assured the safety of their data with frequent checking of data integrity. In this paper, we provide an efficient DIV approach based on a privacy-preserving audit structure. The main building components of our approach is a multi-power variant of the Paillier cryptography system with homomorphic tag. Paillier cryptography system along with homomorphic tag assigns a unique and verifiable value to each data block that helps to perform dynamic data operations in cloud environment. To demonstrate our approach, we have implemented an application on Hadoop and MapReduce framework. Experimental results establish the efficiency of the proposed scheme which outperforms existing schemes between 10-17\% on various parameters.