Research of Network Security Situation Prediction Based on Multidimensional Cloud Model

The core of future network security protection will be active defence, where security situation prediction plays an important part. In order to solve the problem of uncertainty conversion between qualitative concept and quantitative values in situational awareness, and to improve the degree of matching between data distribution and actual situation, this paper presents a posture prediction algorithm based on multidimensional cloud model. Several cloud models are constructed according to training historical data, and obtain the corresponding integrated cloud of key attributes by soft-or calculation. At last we get network future situation value in the inverse operations of membership function. Experiments show that the method has good performance of detection accuracy predict trends stability.