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

author
statement of authorship
Syeda Sitara Waseem, Noman Shabbir, Syed Rizwan Hassan and KangYoon Lee
source
special issue
Secure and Resilient Solutions for CCTV, Small Sensor and IoT Device Security
publisher
journal volume number month
vol. 26, 12
year of publication
pages
art. 3695
ISSN
1424-8220
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
English
keyword
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