<p>This paper addresses the issue of data security access control in smart grids under a cloud-based service framework, focusing on overcoming the limitations of existing security protocols that rely on single-key authorization and lack bidirectional legitimacy verification. To fill these research gaps, a novel dual privacy-preserving access control framework is proposed. First, a ciphertext-policy attribute-based encryption (CP-ABE) mechanism is developed with an access-tree structure to enable fine-grained authorization and efficient encryption/decryption. Second, a privacy-preserving scalar product computing (PPSPC) protocol is designed to perform dual legitimacy verification by masking attribute vectors, thereby protecting both user and grid data privacy. Simulation results demonstrate the superior performance of the proposed scheme: the standard error of encryption time decreases by about 18%, the average decryption time is reduced by 201 ms (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\approx 42\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>≈</mo> <mn>42</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>), and the key generation stability under multi-user scenarios improves by 26%. These results confirm that the proposed framework enhances privacy protection, computational efficiency, and scalability for secure smart grid access control in cloud environments.</p>

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Resilient Access Control Based on Cloud Serves for Preserving Privacy in Smart Grid

  • Yang Liu,
  • Wenxuan Ma,
  • Zhishuo Wang,
  • Suzhan Xue,
  • Yudong Wang

摘要

This paper addresses the issue of data security access control in smart grids under a cloud-based service framework, focusing on overcoming the limitations of existing security protocols that rely on single-key authorization and lack bidirectional legitimacy verification. To fill these research gaps, a novel dual privacy-preserving access control framework is proposed. First, a ciphertext-policy attribute-based encryption (CP-ABE) mechanism is developed with an access-tree structure to enable fine-grained authorization and efficient encryption/decryption. Second, a privacy-preserving scalar product computing (PPSPC) protocol is designed to perform dual legitimacy verification by masking attribute vectors, thereby protecting both user and grid data privacy. Simulation results demonstrate the superior performance of the proposed scheme: the standard error of encryption time decreases by about 18%, the average decryption time is reduced by 201 ms ( \(\approx 42\%\) 42 % ), and the key generation stability under multi-user scenarios improves by 26%. These results confirm that the proposed framework enhances privacy protection, computational efficiency, and scalability for secure smart grid access control in cloud environments.