IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection.

Nasir N, Waseem SS, Bilal M, Hassan SR

DOI: 10.3390/s26041172
Published: 2026 Feb 11
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26041172,
  title = {IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection.},
  author = {Nasir N and Waseem SS and Bilal M and Hassan SR},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26041172},
  url = {https://doi.org/10.3390/s26041172}
}

RIS

TY  - JOUR
TI  - IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection.
AU  - Nasir N
AU  - Waseem SS
AU  - Bilal M
AU  - Hassan SR
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26041172
UR  - https://doi.org/10.3390/s26041172
ER  -

APA

N, N., SS, W., M, B., & SR, H. (2026). IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26041172

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pubmed · retrieved 2026-11-10T07:22:10.941Z