用户画像数据隐私保护算法设计OA

The risk of unauthorized user personal information leakage is high.In order to slove the issues of high leakage and tampering rates,a user profile data privacy protection algorithm is designed with the goal of enhancing the security of personal information.The blockchain technology is used to construct a user profile data privacy protection framework based on dual layer chain,users can obtain digital signature of profile data by means of their private key,and submit it together with their public key to the verification chain.After verification by an authoritative institution in the verification layer,the improved ciphertext-policy attribute-based encryption(CP-ABE)algorithm is used to encrypt user profile data by combining with the digital signature.The ciphertext is stored in the inter planetary file system(IPFS)storage layer.The verification chain is used to calculate the hash value of the ciphertext storage address returned by IPFS,generate data proof according to the hash value and the user account address,and send it to the authorization chain.The authorization chain can implement authorization based on the service provider's account address and the user's authorized transaction information.The service provider can monitor user interaction behavior and check the status of the authorized account.Applications for illegal transactions can be submitted to the verification chain to trace illegal transactions and realize privacy protection of user profile data.The experimental results show that the algorithm can achieve user profile data encryption,hide the true information of the data,and illegal users cannot obtain user profile data.The maximum leakage and tampering rate of user profile data are about 2%and 0.2%,respectively.