With the rapid development of information technology,the problem of data security is becoming more and more prominent,and traditional encryption methods gradually reveal some shortcomings.In order to solve this problem,this study is devoted to the application of deep learning in the field of data encryption.It discusses the principles of data encryption technology based on deep learning in detail,including methods such as autoencoders,generative adversarial networks and recurrent neural networks.By designing and implementing a data encryption system based on deep learning,this paper applies and evaluates it in datasets and experimental environments,focus-ing on the encryption and decryption process of data.Research results show that this system has good practicality while improving data security,which provides strong support for building more advanced and efficient data encryp-tion systems.
Deep learningData encryptionAutoencoderGenerative adversarial networkRecurrent neural network
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