EWM-IFAHP: An improved network security situation assessment model

Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China

Proceedings: ICMLCA 2021

Pages: 6Language: englishTyp: PDF

Personal VDE Members are entitled to a 10% discount on this title

Authors:
Luan, Di; Tan, Xiaobo (School of Information Technology and Engineering, Shenyang Ligong University, ShenYang, China)

Abstract:
With the rapid development of network applications, network security issues have gradually become the focus of attention. Network security situational awareness can collect various factors that affect network security, and through analysis and calculation, the current network security situation is obtained, and finally a prediction of the changing trend of network security is formed. Network security situation assessment is an important part of network security situation awareness. In most network security situation assessment models, expert suggestions or association analysis libraries constructed by experts are used to determine the weight of each feature in the model. Therefore, the models they construct are subjective and not adaptable. This paper proposes the EWM-IFAHP model, which is an improved fuzzy analytic hierarchy process model based on the entropy method. It uses the entropy method to calculate the entropy of each feature. It adopts a combination of subjective and objective methods to conduct a more comprehensive and accurate analysis of the network security situation assessment. Finally, through the comparison and analysis of simulation experiments with other models, the EWM-IFAHP model has better accuracy and recall rate and higher generalization ability.