Apr 5, 2008 · After analyzing the past and the current network security situation in detail, we build a network security situation prediction model based on ...

The accurate and real-time prediction of networksecurity situation is the premise and basis of preventing intrusionsand attacks in a large-scale network. In ...

Simulation experiments prove that the proposed method has advantages over Wavelet Neural Network (WNN) method and Back Propagation Neural Network. (BPNN) method ...

The accurate and real-time prediction of networksecurity situation is the premise and basis of preventing intrusionsand attacks in a large-scale network.

The accurate and real-time prediction of network security situation is the premise and basis of preventing intrusions and attacks in a large-scale network.

This study aims at power load forecasting of wavelet neural network based on improving genetic algorithm. The improved genetic algorithm is used to optimize the ...

WNN-Based Network Security Situation Quantitative Prediction Method and Its Optimization ... Authors: Ji-Bao Lai; Hui-Qiang Wang; Xiao-Wu Liu; Ying Liang; Rui- ...

WNN-Based Network Security Situation Quantitative Prediction Method and Its Optimization. J. Lai, H. Wang, X. Liu, Y. Liang, R. Zheng, and G. sheng Zhao.

WNN-based network security situation quantitative prediction method and its optimization. The accurate and real-time prediction of network security situation ...

We build a network security situation prediction model based on Wavelet Neural Network (WNN) with optimized parameters by the Improved Niche Genetic Algorithm ...