Design of Security Encryption Algorithm for Distribution Terminal Based on Artificial Neural Network

Distribution automation is an important feature of smart grid and an important goal to be achieved in building smart grid. In order to improve the encryption ability and anti-attack ability of information output, it is necessary to combine arithmetic coding and encryption model to build a two-layer structure distribution terminal security encryption model. This paper presents a security encryption algorithm for distribution terminals based on ANN (artificial neural network). According to ANN model and symmetric encryption method, a symmetric encryption algorithm based on ANN can be constructed. Input the data or file to be encrypted into the neural network, and the neural network can quickly generate ciphertext data, and save the ciphertext data to the file or database to complete the data encryption. Input the data or file to be decrypted into the neural network, and the neural network can quickly generate plaintext data, and save the plaintext data to a file or database, and then decrypt the data. The research results show that the maximum encryption time and decryption time of the proposed algorithm are 16.521s and 9.869s, respectively. This algorithm does have a good performance in the process of encryption and decryption. In practice, the encryption and decryption time can be reduced to a lower level through better performance hardware devices or optimization algorithms.