Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security

arXiv:2607.07635 · cs.CR · Submitted 2026-07-08 · Read on arXiv

Md. Nahid Hasan, Md. Golam Rabiul Alam

cs.CR

Submitted: 2026-07-08

Code: https://github.com/Nahidhasan07/Botnet-Traffic-Detection

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 76× in this paper · explained in 1 episode
Actor — 45× in this paper · explained in 3 episodes
Distillation — 34× in this paper · explained in 2 episodes
Reinforcement Learning — 25× in this paper · explained in 4 episodes
Knowledge Distillation — 24× in this paper · explained in 11 episodes
F1 Score — 21× in this paper · explained in 3 episodes
Loss Function — 14× in this paper · explained in 2 episodes
Interpretability — 11× in this paper · explained in 15 episodes
Benchmark — 10× in this paper · explained in 2 episodes
Q-learning — 9× in this paper · explained in 3 episodes
Activation Function — 7× in this paper · explained in 1 episode
Actor-Critic Model — 7× in this paper · explained in 1 episode
Explainability — 6× in this paper · explained in 3 episodes
Explainable AI (XAI) — 6× in this paper · explained in 7 episodes
Federated Learning — 6× in this paper · explained in 14 episodes
Machine Unlearning — 6× in this paper · explained in 2 episodes
Regularization — 6× in this paper · explained in 3 episodes
Robustness — 6× in this paper · explained in 5 episodes
Adam — 5× in this paper · explained in 2 episodes
Adaptability — 5× in this paper · explained in 1 episode
AUC — 4× in this paper · explained in 2 episodes
Generalization — 4× in this paper · explained in 13 episodes
Actor Loss Function — 3× in this paper · explained in 1 episode
Attention Mechanism — 3× in this paper · explained in 3 episodes
Binary Cross-Entropy — 3× in this paper
Denial of Service — 3× in this paper
Adversarial Attacks — 2× in this paper · explained in 1 episode
Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
Edge Deployment — 2× in this paper · explained in 2 episodes
Pruning — 2× in this paper · explained in 4 episodes
alpha — 2× in this paper · explained in 1 episode
Accountability — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Continual Learning — 1× in this paper · explained in 2 episodes
Cooperation — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Data Pruning — 1× in this paper · explained in 2 episodes
Distributed Denial of Service — 1× in this paper
Edge Devices — 1× in this paper · explained in 2 episodes
Feature Engineering — 1× in this paper · explained in 3 episodes
Feature Selection — 1× in this paper · explained in 4 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Local Interpretable Modelagnostic Explanations — 1× in this paper
Model-Agnostic — 1× in this paper · explained in 2 episodes
Quantization — 1× in this paper · explained in 12 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security

Terminology

Sources

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