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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

A provenance-aware hybrid deepfake detection framework integrating perceptual hashing and explainable CNNs for robust multimedia forensics in social IoT environments

  • Reem Alshenaifi
  • Shailendra Mishra
  • Shrouq Nahar ALmutairi
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Cite

BibTeXRIS
BibTeX
@article{alshenaifi2026provenanceaware,
  title = {{A provenance-aware hybrid deepfake detection framework integrating perceptual hashing and explainable CNNs for robust multimedia forensics in social IoT environments}},
  author = {Reem Alshenaifi and Shailendra Mishra and Shrouq Nahar ALmutairi},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77609-z},
  url = {https://www.nature.com/articles/s41598-026-77609-z},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A provenance-aware hybrid deepfake detection framework integrating perceptual hashing and explainable CNNs for robust multimedia forensics in social IoT environments
AU  - Reem Alshenaifi
AU  - Shailendra Mishra
AU  - Shrouq Nahar ALmutairi
PY  - 2026
DA  - 2026/10/27
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77609-z
UR  - https://www.nature.com/articles/s41598-026-77609-z
SN  - 2045-2322
ER  -