Kong, G.; Chen, F.; Yang, X.; Cheng, G.; Zhang, S.; He, W.
Optimal Deception Asset Deployment in Cybersecurity: A Nash Q-Learning Approach in Multi-Agent Stochastic Games. Appl. Sci. 2024, 14, 357.
https://doi.org/10.3390/app14010357
AMA Style
Kong G, Chen F, Yang X, Cheng G, Zhang S, He W.
Optimal Deception Asset Deployment in Cybersecurity: A Nash Q-Learning Approach in Multi-Agent Stochastic Games. Applied Sciences. 2024; 14(1):357.
https://doi.org/10.3390/app14010357
Chicago/Turabian Style
Kong, Guanhua, Fucai Chen, Xiaohan Yang, Guozhen Cheng, Shuai Zhang, and Weizhen He.
2024. "Optimal Deception Asset Deployment in Cybersecurity: A Nash Q-Learning Approach in Multi-Agent Stochastic Games" Applied Sciences 14, no. 1: 357.
https://doi.org/10.3390/app14010357
APA Style
Kong, G., Chen, F., Yang, X., Cheng, G., Zhang, S., & He, W.
(2024). Optimal Deception Asset Deployment in Cybersecurity: A Nash Q-Learning Approach in Multi-Agent Stochastic Games. Applied Sciences, 14(1), 357.
https://doi.org/10.3390/app14010357