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About this paper
Hui Liang, Zhihui Wu, Runqi Yuan, Guobin Zhang, Yanfeng Zhang, Jinkai Zheng, Tom H. Luan
Researchers at Dongguan University of Technology, Guangzhou Maritime University, and Xi’an Jiaotong University introduced a secure access strategy for Space-Air-Ground Integrated Network (SAGIN)-enabled IoT, leveraging Digital Twin technology and evolutionary game theory. This strategy demonstrated close-to-optimal performance in balancing security and latency, showing a significant reduction in risk probability and queuing delays compared to benchmark methods.
Key insights
- Digital Twin technology provides a powerful framework for real-time, continuous assessment of dynamic security threats and performance metrics in complex and expansive communication infrastructures like SAGINs.
- Evolutionary Game Theory offers a scalable and self-organizing mechanism for distributed decision-making, allowing IoT devices to adapt strategies dynamically to achieve network stability and efficiency without centralized control.
- The proposed utility function, which combines normalized secrecy capacity and queuing delay, effectively guides IoT devices to make intelligent access decisions that balance security enhancement with efficient resource utilization.
Summary by alphaXiv.
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