Abstract: In order to meet the security requirements of user privacy data transmission, we proposed a security protection method for user privacy data transmission under homomorphic encryption. Firstly, by using  feature space recombination technology for data reconstruction,  semantic correlation fusion method was used to capture user privacy data features while  adaptively scheduling, 
and fuzzy clustering was performed on the captured feature quantities to determine user privacy data attributes. Secondly, combining the attributes of user privacy data, a combination method of homomorphic encryption algorithms and deep learning was used to encrypt and transmit user privacy data point-to-point, ultimately achieving secure protection of user privacy data transmission. The simulation experiment results show that the proposed method has good data encryption effect,  low communication overhead, and  can better ensure the security and reliability of user privacy data transmission.

Key words: homomorphic encryption, user privacy data, transmission security protection, feature space recombination