A secure and efficient data deduplication framework for the internet of things via edge computing and blockchain

【Author】 Wu, Zeng; Huang, Hui; Zhou, Yuping; Wu, Chenhuang

【Source】CONNECTION SCIENCE

【影响因子】0.000

【Abstract】Data deduplication can solve the problem of resource wastage caused by duplicated data. However, due to the limited resources of Internet of Things (IoT) devices, applying data deduplication to IoT scenarios is challenging. Existing data deduplication frameworks for the IoT are prone to inefficiency or trust crises due to the random allocation of edge computing nodes. Furthermore, side-channel attacks remain a risk. In addition, after IoT devices store data in the cloud through data deduplication, they cannot share their data efficiently. In this paper, we propose a secure and efficient data deduplication framework for the IoT based on edge computing and blockchain technologies. In this scheme, we propose a model based on parallel use of three-layer and two-layer architectures and introduce the RAndom REsponse (RARE) scheme to resist side-channel attacks. We also design a label tree to realise one-to-many data-sharing, which improves efficiency and meets the needs of the IoT. In addition, we use blockchain to resist collusion attacks. Experiments were conducted to demonstrate that our framework has advantages over similar schemes in terms of communication cost, security and efficiency.

【Keywords】Data deduplication; blockchain; internet of things; edge computing; data security

【发表时间】2022 DEC 31

【收录时间】2022-06-29

【文献类型】理论性文章

【主题类别】

区块链技术-协同技术-物联网