Research on MapReduce-based cloud storage batch auditing

Abstract

Cloud Storage is a new kind of network storage technology. It is developed from Cloud Computing, which has been envisioned as the next-generation architecture of IT enterprise. Cloud Storage is very popular for its quick, cheap and convenient services. However, it also brings new and challenging security problems towards users' outsourced data. One major problem is to verify the integrity of data at semi-trusted server. Since the arrival of the era of Big Data, a batch auditing method is urgently needed. But the existing batch auditing scheme is very inefficient for the verification of invalid responses from Cloud Service Provider. In order to solve this problem, this paper adopts the computing framework of MapReduce. The MapReduce batch auditing scheme computes the multiple invalid verification tasks parallelly. Experiment results show the performance of MapReduce batch auditing scheme at the end of this paper. Based on this, it can be concluded that the batch auditing scheme of MapReduce has better availability and higher efficiency than existing ones.