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Home/Authors/Md. Nahid Hasan

Md. Nahid Hasan

1 indexed paper

Recent (6 mo)
1
With code
0
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Publications per year

1
26

Top categories

Crypto×1

Frequent co-authors

Golam Rabiul Alam1×

Research Timeline

2026
Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security

This paper proposes DiRLU, a lightweight, reinforcement learning driven framework for IoT botnet detection with selective unlearning and knowledge distillation, achieving high accuracy and efficiency.

Highlighted terms show continued research focus across papers

Papers

cs.CREmpiricalRecentJul 8, 2026

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

Md. Nahid Hasan, Golam Rabiul Alam

This paper proposes DiRLU, a lightweight, reinforcement learning driven framework for IoT botnet detection with selective unlearning and knowledge distillation, achieving high accuracy and efficiency.

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