Addressing Deepfake Issue in Selfie banking through camera based authentication
This addresses security threats in online banking for users and institutions, but it is incremental as it adapts an existing method to a new application.
The paper tackles the problem of deepfake images bypassing facial recognition in selfie banking by applying an existing forensic recognition system, originally designed for camera localization, to detect these fakes.
Fake images in selfie banking are increasingly becoming a threat. Previously, it was just Photoshop, but now deep learning technologies enable us to create highly realistic fake identities, which fraudsters exploit to bypass biometric systems such as facial recognition in online banking. This paper explores the use of an already established forensic recognition system, previously used for picture camera localization, in deepfake detection.