In the process of accessing the medical management information platform, the linear growth of its encryption policy expression leads to the expansion of ciphertext size. Especially when the medical attribute set exceeds 20 dimensions, the ciphertext expansion coefficient shows an exponential increase, resulting in a decrease in data decryption integrity and an increase in privacy leakage risk. Therefore, a privacy data query access control method for the medical management information platform under attribute encryption algorithm is proposed. A privacy data query access control process is constructed for the medical management information platform, which involves using attribute encryption algorithm to set the privacy data access policy for the medical management information platform, generating medical information keys based on initialization algorithm, encrypting the privacy data of the medical management information platform, and effectively solving the problem of ciphertext size expansion caused by the linear growth of encryption policy expressions. Therefore, the user side can accurately and quickly obtain the ciphertext information containing the medical information access policy,

decrypt the privacy data ciphertext information of the medical management information platform through the key,obtain the original privacy data of the medical management information platform, and achieve access control for privacy data query on the medical management information platform. Experimental results have shown that the decryption efficiency of this method is not affected by the size of data attributes, and the attack rejection rate is higher than 98% . The integrity of private data decryption on medical management information platforms is higher than 99. 3% , and the risk of privacy leakage is stably controlled at 0. 11% -0. 15% . It helps to ensure the security of private data on medical management information platforms and promote the intelligent development of medical management information platforms.

attribute-based encryption algorithm, medical care, privacy data, query access control, medical information attributes, key