This study provides among the first empirical evaluations of adversarial fragility in cooperative MARL-based intrusion detection within distributed 5G-oriented security abstractions, demonstrating that cooperative intelligence alone does not guarantee adversarial robustness.
Empirical evaluations reveal a fundamental brittleness in existing defenses: with a single trainable 7B planner, Trident reduces blue agent defensive performance by an average of 522% compared to static red agent baselines while autonomously discovering emergent behaviors such as decoy avoidance and adaptive state prio...
The suggested MARL-based framework is efficient in providing automated incident response for Digital Twin ecosystems and clearly illustrates that stable convergence and better optimization of policies are obtained over episodes.
To address the performance degradation in vehicle formation control caused by communication disruptions under denial-of-service (DoS) attacks, this article proposes a secure control method that integrates a nonzero-sum game and inverse reinforcement learning (IRL). At the game-theoretic layer, a dynamic game model acco...
The Dual-Critic Constrained Deceptive Q-Learning (DCD-Q) method is proposed, a deployment-time trajectory protection framework that aims to reduce the information leaked by released trajectories while preserving acceptable task performance.
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