Abstract

Aiming at the dynamic and fine-grained access control problems of massive data resources brought about by the characteristics of big data resources such as dynamic, distributed, multi-source heterogeneity, etc., we propose a hybrid access control based on on-chain and off-chain collaboration. Permission decision method, this method is based on the ABAC model, and constructs a two-layer hybrid access control permission decision structure composed of on-chain logical policy trusted decision and off-chain similarity policy efficient decision to achieve dynamic, accurate and fine-grained access control. Among them, the blockchain smart contract is used to realize distributed authority management and on-chain logical policy trusted decision, and the neural network model is used to establish a generalized association between unstructured text data based on semantic similarity. Precise description and efficient decision based on semantic similarity at the content feature level. The experimental results show that the method has good performance and can provide strong support for dynamic and fine-grained access control of massive data resources.

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