Network Security Situation Prediction Method Based on IFS-FOA-ELM
Aiming at the problem that traditional network security situation prediction methods are often inaccurate when solving various uncertain problems in complex network environments,and cannot quickly and accurately predict the changing trend of network security situation,a network security situation prediction method based on IFS-FOA-ELM is proposed.Firstly,based on the intuitionistic fuzzy set,the characteristic elements of network security information are constructed and the network security situation values are computed.Then the ELM prediction model is constructed,and the input weights and thresholds of the ELM are optimized by the fruit fly optimization algorithm.Finally,the network security situation data are used under the big data environment of an Internet center,the accuracy and real-time degree of the IFS-FOA-ELM prediction model are verified.The simulation results show that the proposed algorithm can quickly and effectively predict the network security situation.
万方数据
维普
