Situation awareness defense method based on computer network security technology
Since the low accuracy of traditional computer network security situational awareness,it is diffi-cult to maintain the stability of error value in the analysis and detection of perceived data in the case of large data volume,and the data processing speed of visualization device is slow.Therefore,the system scheme is designed.In terms of hardware,the research is based on the improvement of sensors and visualization mod-ules,while in terms of algorithm technology,this research is based on the convolution neural network algo-rithm related to the regression algorithm model and Error BackPropagation neural network algorithm to build the mathematical model of network security situational awareness.Through simulation experiments,the threat detection rate of the system can reach 96.67%,the false alarm rate is only 1.10%,and it can re-main stable under long-time operation.
万方数据
维普
