Toward secure distributed data storage with error locating in blockchain enabled edge computing

Abstract

The technique of Internet of things (IoT) connects the distributed devices via the network that can realize smart applications, such as intelligent transportation, intelligent manufacturing, smart grid and smart home. Edge computing integrates the edge devices together and provides efficient computation and storage services with low latency for users. By combining with blockchain, edge computing can provide more secure data storage and transmission supporting tamper resistance and traceability for IoT. However, the existing data storage schemes are not suitable for processing the gathered data in blockchain enabled edge computing and the efficiency of the data error locating in the previous schemes is very low. In this paper, a secure distributed data storage scheme is proposed, which can be used in blockchain enabled edge computing. In the design of the proposed scheme, the technologies of bilinear pairing and BLS-HLA (BLS-Homomorphic Linear Authenticator) are used, which allows end clients to check the uploaded data storage. In addition, the mechanisms of error locating and data dynamics are supported due to the utilization of CBF (Counting Bloom Filter). Security analysis result indicates that the proposed scheme is correct, data blocks detectable and false positive rate negligible. Performance analysis result shows that the proposed scheme can be executed with low computational cost, which is practical for IOT environment in blockchain enabled edge computing.