Article
Computer Security Active Defense Technology Based on Bayesian Model
Authors
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Abstract
The existing active defense technology based on game theory is mainly based on static games. This method can not adapt to the dynamic change of the attacker’s attacking intent and tactics. Based on the non-cooperative and non-zero-sum dynamic game theory, a complete Bayesian system of emotional game bodies is established. Use the “virtual node” to transform the attack and defense chart into a tree structure of the attack and defense game. An attack and defense strategy suitable for integrity and incompleteness is given. The experimental simulation results show that the seven comprehensibilities and usability of Nash equilibrium solutions optimized by Bayesian subgames are well obtained
Keywords
Network security, Bayesian model, Active defense, Dynamic game, Nash equilibrium, 62C10
Citation
Liu, Z., Ma, B., Xing, J., & Cao, W. (2023). Computer security active defense technology based on bayesian model. Applied Mathematics and Nonlinear Sciences, 8(1), 2433–2442. https://doi.org/10.2478/amns.2023.1.00424
Z. Liu, B. Ma, J. Xing and W. Cao, “Computer security active defense technology based on bayesian model,” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 1, pp. 2433–2442, 2023, doi: 10.2478/amns.2023.1.00424.
Liu Z, Ma B, Xing J, Cao W. Computer security active defense technology based on bayesian model. Applied Mathematics and Nonlinear Sciences. 2023;8(1):2433–2442. doi:10.2478/amns.2023.1.00424.
Liu, Z., Ma, B., Xing, J. and Cao, W. (2023), ‘Computer security active defense technology based on bayesian model’, Applied Mathematics and Nonlinear Sciences, 8(1), pp. 2433–2442. Available at: https://doi.org/10.2478/amns.2023.1.00424.
Liu, Zhiyu, et al. “Computer Security Active Defense Technology Based on Bayesian Model.” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 1, 2023, pp. 2433–2442. https://doi.org/10.2478/amns.2023.1.00424.
Liu, Zhiyu, Baoying Ma, Jun Xing, and Wangcheng Cao. “Computer Security Active Defense Technology Based on Bayesian Model.” Applied Mathematics and Nonlinear Sciences 8, no. 1 (2023): 2433–2442. https://doi.org/10.2478/amns.2023.1.00424.
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Published by: Engineering Journals


