Design of Network Security Situation Assessment Method and Application of Data Mining in the Tobacco Industry

The existing network security situational awareness technologies and evaluation schemes in tobacco enterprises lack accuracy in calculating and evaluating the network security operational situation index, which prevents relevant departments from comprehensively understanding the network security situation in the tobacco industry. To address this issue, this paper proposes a data mining-based network security situational awareness and evaluation method for the tobacco industry. Specifically, it uses the stability degree of data mining to identify and extract network security situational awareness features in the tobacco industry; calculates the network operational situation index and generates an operational situation matrix; mines common data within the matrix to generate the final result. The experiment shows that this method has certain advantages and can accurately perceive the network security situation in the tobacco industry.