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Updated: Sep 12, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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联邦层次的MARL为零射击的网络防御

Adel Alshamrani1

  • 1Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia.

PloS one
|August 8, 2025
PubMed
概括

本研究介绍了用于先进网络防御的自适应零射击层次多代理强化学习 (AZH-MARL) 框架. 它有效地检测出已知的和新的威胁,增强系统的弹性,减少对复杂的网络攻击的响应时间.

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