Network Security Overall Situation Assessment Technology and Simulation Experiment Based on Multi-source Data Analysis
In this paper,an network security overall situation assessment technology based on multi-source data analysis is proposed,and its application effect is verified by simulation experiments.Logs,vulnerability data and node service information are taken as data sources,three situation indicators of threat,vulnerability and asset are selected to extract data for factor analysis from source data,and after processing by hidden Markov model and PageRank algorithm,D-S evidence theory is used to evaluate the overall situation of network security.According to the simulation results,the probability of the network in the P4 security state is the highest,and the network faces certain security threats at this time,and preventive measures need to be taken.
multi-source data analysisnetwork securitysituation assessmentPageRank algorithm
NETL
NSTL
万方数据
