Research On Big Data Security Storage System For Diabetes In Cloud Computing Environment

The large population base and the high incidence of diabetes have formed a large diabetic population,and the large amount of data generated has created great storage pressure and security requirements for storage systems.In recent years,cloud storage systems have been widely used due to their strong storage capabilities,comprehensive disaster tolerance and backup mechanisms,and transparent data upload and download mechanisms.However,current cloud storage systems have deficiencies in terms of user identity privacy protection and user access to data.In order to solve the above problems,the subject analyzes and studies the security of the diabetes cloud storage system from the aspects of anonymous identity authentication and CP-ABE.In order to ensure the security of the diabetes cloud storage system at multiple levels,the subject first divided the system into a cloud service platform layer,a data transmission layer,and a secure storage layer.In order to ensure the security of each layer of the system,the subject chooses different algorithms and technologies to provide security protection for each laye r of the system.Anonymous authentication and CP-ABE algorithm are used at the cloud service platform layer;AES-236 encryption algorithm and SHA-3 algorithm are used at the data transmission layer;PDP,POR,and auditing technologies are used at the secure storage layer.The subject has studied the security of the cloud service platform layer.In order to be able to revoke the access rights of malicious users,track malicious users,and resist network attacks to a certain extent,the subject uses a certain innovative TR-CP-ABE algorithm at the cloud service platform layer.The TR-CP-ABE algorithm uses a Bilinear pair technology and C hinese remaining theorem,the functions of revoking user rights and tracking users are implemented on the basis of traditional CP-ABE.In addition,using a constant-size key and constant-size ciphertext,the time complexity of the algorithm is O(1).In order to prevent attackers from tracking behavior information,and linking users in the case of anonymity,the subject proposes a certain innovative UTFUL-AA algorithm at the cloud service platform layer.The UTFUL-AA algorithm uses group signature technology and zero K nowledge protocol,based on the traditional anonymous identity authentication algorithm,realizes the forward unlinkability and untraceability of identity.In addition,reducing the power operation reduces the overall operation time of authentication.Finally,the subject uses the above algorithm and corresponding machine technology to build a CEPH-based diabetes cloud storage system,and based on the system,experimental analysis of the improved TR-CP-ABE algorithm and UTFUL-AA algorithm is proposed.The experimental results show that the TR-CP-ABE algorithm is higher in security and performance than the traditiona l CP-ABE algorithm;the UTFUL-AA algorithm is superior to the traditional anonymous authentication algorithm in terms of security and runtime.