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Fine-grained access control policy in blockchain-enabled edge computing
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PRE
AI
DOI：10.1016/j.jnca.2023.103706.png)
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Abstract
En 中文
In the process of data sharing and interaction between untrusted intelligence edge devices, there are risks of misuse and tampering with the data. Hence, how to ensure data security and prevent unauthorized data access is the key problem to be solved in the cloud edge collaborative architecture. However, due to the heterogeneity of edge devices and the diversity of data sources, traditional access control methods cannot meet the requirements of the large-scale, distributed, dynamic and flexible expansion of edge intelligence applications. Therefore, this paper studies the fine-grained data access control method on the basis of smart contracts, and implements the attribute-based access control (ABAC) model through smart contracts. To improve the query efficiency of attributes and policies in the process of access request decision, an attribute management scheme is designed on the basis of the Bloom filter to achieve fast retrieval of attributes and policies. The decentralized fine-grained access control method is tested under the performance indicators such as retrieval delay, deployment delay, rule reduction rate and decision response time.
Keywords:
Edge intelligence applications
Attribute-based access control
Blockchain
Attribute reduction
Journal
IF:
8
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3.6K
Citations:
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