Simulation of Network Security Situation Awareness Based on Back Propagation Algorithm
With the wide application of Internet technology,the number of network information transmission is in-creasing,and the demand for network security situational awareness is also increasing.Aiming at the problems of low detection accuracy and large error of current network security situation awareness algorithm,this paper proposes a net-work security situation awareness model based on the back propagation algorithm.First,the big data analysis method was used to decompose the features of intrusion information by node and analyze them by segment;Secondly,the key nodes were analyzed by the distributed fusion method of switching detection channels and spatial nodes,and the fea-tures of intrusion data were extracted;Then,the basic perception principle was optimized through the back propagation algorithm to reduce the error in the process of model detection;Finally,based on the results of information fusion,the intrusion behavior was detected by fuzzy recognition method to achieve the effect of security situation awareness.The experimental results show that compared with other algorithms,the proposed model reduces the average absolute error by nearly 5%,and improves the prediction accuracy by at least 7%.It has the best experimental effect,promoting the development and application of network security situational awareness technology.
NETL
NSTL
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