Risk Probability Estimating Model Based on Neural Networks
基于神经网络的安全风险概率预测模型

Risk probability estimating analyzes the distributed network and assesses inherently uncertain events and circumstances dynamically.And the estimating probability of security risk is an absolutely necessary step of developing network security protection system.The problems of feature extraction,cluster analysis,similarity measurement and estimation methods in network situation awareness were addressed.A risk probability assessment formula was proposed,and an estimating model adopting the neural networks was...