Edge-based Dynamic Data Integrity Checking Scheme for IoT

Abstract

The increasing data volume causes a challenging issue when storing the data locally in Internet of Things. Therefore, outsourcing the data to cloud service provider is treated as a potential solution for its low cost, high availability and scalability. In this case, users lose control to the outsourced data, facing severe data integrity challenge. Ensuring the integrity of outsourced data is an essential requirement for cloud storage. As the widespread of the cloud-edge framework, the conventional data integrity checking schemes cannot support the offline model and the scalability. In this article, we suggest a novel publicly verifiable edge-based data integrity checking scheme for IoT devices in a decentralized edge-cloud storage scenario, to satisfy the dynamic requirement in scalable outsourcing storage. Through homomorphic verifiable tags, our proposed scheme can achieve the aggregated blockless verification to improve the efficiency on checking. By taking advantage of cloud-edge architecture, our proposed scheme can be further improve the computation and communication efficiency on user side. Also, a comprehensive security analysis is given over the security properties of our proposed data integrity checking scheme. Finally, the performance evaluation conducted under the simulated dataset is provided. The results are shown from the theoretical and experimental aspects to indicate that our proposed scheme is acceptable in the practice.