TL-RL-FusionNet: Reinforcement Learning-Guided Residual MLP with Fused CNN Embeddings for Efficient and Adaptive Ransomware Detection

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

Open source

DOI
10.3390/s26154775
Published
2026-07-27
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s26154775,
  title = {TL-RL-FusionNet: Reinforcement Learning-Guided Residual MLP with Fused CNN Embeddings for Efficient and Adaptive Ransomware Detection},
  author = {Jannatul Ferdous and Rafiqul Islam and Arash Mahboubi and Md Zahidul Islam},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26154775},
  url = {https://doi.org/10.3390/s26154775}
}

RIS

TY  - JOUR
TI  - TL-RL-FusionNet: Reinforcement Learning-Guided Residual MLP with Fused CNN Embeddings for Efficient and Adaptive Ransomware Detection
AU  - Jannatul Ferdous
AU  - Rafiqul Islam
AU  - Arash Mahboubi
AU  - Md Zahidul Islam
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26154775
UR  - https://doi.org/10.3390/s26154775
ER  -

APA

Ferdous, J., Islam, R., Mahboubi, A., & Islam, M. Z. (2026). TL-RL-FusionNet: Reinforcement Learning-Guided Residual MLP with Fused CNN Embeddings for Efficient and Adaptive Ransomware Detection. Sensors. https://doi.org/10.3390/s26154775

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