A privacy preserving batch audit scheme for IoT based cloud data storage

Nowadays, the digitalization boom witnesses the culmination of the Internet of Things (IoT), the big data and the cloud storage which is further fueled by data analytics techniques to identify useful patterns from the data stored in the cloud to understand the business and the government processes alike. In this competitive scenario, it is equally important to ensure the intactness of the big data stored in the cloud from the IoT sensors. Though many data audit schemes have been proposed till date, very few notable works have been proposed towards IoT based data storage. Apart from this, the previous protocols incur relatively more computational and communication overheads and they lack support for privacy'. Hence, the proposed approach strives to provide data audit for the IoT based cloud data storage in three dimensions. Proposing a novel data audit protocol to suit the IoT based systems is the first dimension of this research work. The second dimension utilizes identity-based cryptography to provide anonymous identity thereby preserving the privacy of the data aggregation gateways. The third dimension ensures the proposed protocol to suit resource constrained environments with the relatively cheaper computation and the communication overheads. The implementation results provide convincing evidence that the proposed protocol performs better than the significant works existing in the literature.