,

Changsong Li1,2,3, Ning Zhao4, Hao Wu5,6,7,8

  • 1State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, 100044, China.

Scientific reports
|May 14, 2025
PubMed
概括

本研究介绍了一种强化学习算法,用于对高级持久威胁 (APT) 部署欺骗资源. 该方法优化了防御效率和成本,在保护关键资产方面实现了97.09%的成功率.

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