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Home/Authors/Jannatul Ferdous

Jannatul Ferdous

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2

Frequent co-authors

Rafiqul Islam2×
Md Zahidul Islam2×
Arash Mahboubi1×

Research Timeline

2026
Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection

The paper proposes a privacy-aware machine unlearning framework using SISA training to efficiently remove the influence of specific training data from RL-based ransomware detectors with minimal performance loss.

TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats

TL-RL-FusionNet is a novel reinforcement learning-guided framework that enhances ransomware detection by adaptively focusing on complex, evolving threats, achieving high accuracy and superior efficiency compared to static models.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentApr 22, 2026

TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats

Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam

TL-RL-FusionNet is a novel reinforcement learning-guided framework that enhances ransomware detection by adaptively focusing on complex, evolving threats, achieving high accuracy and superior efficien…

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cs.CRRecentApr 18, 2026

Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection

Jannatul Ferdous, Rafiqul Islam, Md Zahidul Islam

The paper proposes a privacy-aware machine unlearning framework using SISA training to efficiently remove the influence of specific training data from RL-based ransomware detectors with minimal perfor…

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