Analysis of cyberspace security situational awareness based on fuzz reason

Fuzzy reasoning analysis (FRA) is known as a mathematical programming approach to strong nonlinear system prediction. In this paper, the design and implementation of a fuzzy reasoning based cyberspace security awareness model is presented. The new feature of the this method is that it can give better perception and projection of cyberspace security situational. We show that this new method, referred to as machine learning situational awareness analyses, is efficient in situational perceiving, main contribution of this paper is to further integration of the fuzzy reasoning and situational risk control strategies to cyberspace security analysis.