Abstract:

Aiming at the problems of security situation awareness about networks, a network security situation awareness method based on neural network is proposed. Firstly, an index system of network security situation evaluation was built and the network security situation was defined with four independent properties. Then, a back propagation (BP) neural network based on the method to estimate the security situation assessment of network was designed. To solve the problem of uncertainty and fuzziness between the situation factor and the evaluation result, a network security situation forecast method that can find non-linear mapping relationship among network situational values was given based on radial basis function (RBF) neural network, parameters of the network were optimized through adaptive genetic algorithm and the network security situation awareness was obtained. An experiment with a real network environment was performed, the experimental results prove that our method is feasible and effective to the network security situation awareness.

Key words: situation awareness, assessment, prediction, neural networks