一种基于MSCPO-BiGRU的智慧水利网络安全态势预测方法OA

Intelligent water conservancy serves as the core industry and key field of national key information infrastructure.Research on its network security situation prediction technology can effectively enhance the industry's overall security protection capability and risk early-warning level.To address the complexity and variability in predicting the security situation of intelligent water conservancy networks,a predic-tion method based on Bidirectional Gated Recurrent Unit(BiGRU)and Multi-Swarm Chaotic Particle Optimization Algorithm(MSCPO)is proposed.This method first employs the MSCPO algorithm to optimize the hyperparameters of BiGRU,including the number of iterations,learning rate,and number of hidden layer nodes.Subsequently,the optimized BiGRU unit is used for situation prediction.Experimental re-sults on the SWaT dataset demonstrate that the proposed method achieves a mean square error of 0.002 8,an average absolute error of 10.97%,and a determination coefficient of 0.916 1.Compared with traditional algorithms,the proposed method exhibits higher prediction ac-curacy and stability,providing effective support for the construction of intelligent water conservancy network security.