Adversarial RL for Port-Scan Evasion: Attacker Feature Visibility in Edge-Deployed IDS

arXiv:2610.08864 · cs.CR, cs.LG · Submitted 2026-10-05 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-10-05

Updated: 2026-10-05

Terminology

Reinforcement Learning — 8× in this paper · explained in 4 episodes
Robustness — 8× in this paper · explained in 5 episodes
Adversarial Attacks — 5× in this paper · explained in 1 episode
Ablation — 4× in this paper · explained in 1 episode
Adaptation — 3× in this paper · explained in 1 episode
Adversarial Training — 3× in this paper · explained in 1 episode
Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Edge Deployment — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Action Space — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adversarial Examples — 1× in this paper · explained in 2 episodes
Adversarial Robustness — 1× in this paper · explained in 3 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Cross-Model Transfer — 1× in this paper · explained in 2 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Deep Q-Network — 1× in this paper
F1 Score — 1× in this paper · explained in 3 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Feature Selection — 1× in this paper · explained in 4 episodes
Federated Learning — 1× in this paper · explained in 14 episodes
Generalization — 1× in this paper · explained in 13 episodes
Online Adaptation — 1× in this paper · explained in 3 episodes
Q-learning — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Reward Function — 1× in this paper · explained in 2 episodes
Transferability — 1× in this paper · explained in 4 episodes

Terminology

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