<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the increasing importance of network security, more attention is paid to the research on network security situation awareness, while network security situation assessment is the core of situation awareness. The existing situation assessment technology has many problems, such as unitary methodology, large-scale subjective factors and so on, affecting the accuracy of situation assessment. Combined with the traditional network security technology, this paper sets up a three-layer evaluation index system, and puts forward an overall network security situation evaluation model based on hidden Markov model, PageRank algorithm and D-S evidence theory, through which, the overall situation is evaluated after using different fusion algorithms in different fusion stages. The simulation result shows that the above assessment method is more accurate and efficient than the method using single model.</p>
</abstract>

With the increasing importance of network security, more attention is paid to the research on network security situation awareness, while network security situation assessment is the core of situation awareness. The existing situation assessment technology has many problems, such as unitary methodology, large-scale subjective factors and so on, affecting the accuracy of situation assessment. Combined with the traditional network security technology, this paper sets up a three-layer evaluation index system, and puts forward an overall network security situation evaluation model based on hidden Markov model, PageRank algorithm and D-S evidence theory, through which, the overall situation is evaluated after using different fusion algorithms in different fusion stages. The simulation result shows that the above assessment method is more accurate and efficient than the method using single model.

The Technical Research on the Assessment of Network Security Situation Based on D-S Evidence Theory

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the increasing importance of network security, more attention is paid to the research on network security situation awareness, while network security...

The Technical Research on the Assessment of Network Security Situation Based on D-S Evidence Theory

Publié en ligne: 15 juil. 2022

Pages: 1177 - 1192

Reçu: 16 févr. 2022

Accepté: 18 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0105

Mots clés
overall situation assessment, hidden Markov model, PageRank algorithm, D-S evidence theory.

© 2023 Jian Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Technical Research on the Assessment of Network Security Situation Based on D-S Evidence Theory

Publié en ligne: 15 juil. 2022

Pages: 1177 - 1192

Reçu: 16 févr. 2022

Accepté: 18 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0105

Mots clésoverall situation assessment, hidden Markov model, PageRank algorithm, D-S evidence theory.

© 2023 Jian Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
overall situation assessment, hidden Markov model, PageRank algorithm, D-S evidence theory.