Sensors-driven multimodal deepfake detection: A cross-attention fusion approach with adaptive modality gating

autor
vastutusandmed
Syeda Sitara Waseem, Noman Shabbir, Syed Rizwan Hassan and KangYoon Lee
allikas
ajakirja erinumber
Secure and Resilient Solutions for CCTV, Small Sensor and IoT Device Security
kirjastus/väljaandja
ajakirja aastakäik number kuu
vol. 26, 12
ilmumisaasta
leheküljed
art. 3695
ISSN
1424-8220
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
keel
Inglise
võtmesõna
deepfake detection
multimodal sensor fusion
cross-modal attention
audiovisual sensors
IoT security
Res2Net
3D CNN
real-time biometric authentication
smart camera systems
sensor-based forensics
Waseem, S. S., Shabbir, N., Hassan, S. R., Lee, KY. Sensors-driven multimodal deepfake detection: A cross-attention fusion approach with adaptive modality gating // Sensors (2026) vol. 26, 12, art. 3695. https://doi.org/10.3390/s26123695