Use Your PIN Securely: Acoustic-Based Second-Factor User Authentication With Enhanced Tap Biometrics

This research presents TapPass, an acoustic-based second-factor authentication system (an extra security layer beyond passwords that uses a second verification method) for mobile phones that identifies users by analyzing the unique sound patterns created when they tap their PIN on a device. The system uses deep learning (a type of AI that mimics how brains process information) with special techniques to extract consistent identifying features from these tap sounds and adapt over time, achieving 93% accuracy in tests.