This project focuses on developing a secure login system that authenticates users based on behavioral biometrics such as typing speed and keystroke dynamics, providing continuous and non-intrusive user verification.
Study behavioral biometric authentication methods Collect typing pattern data from users Extract features such as keystroke timing Preprocess and normalize behavioral data Train machine learning model for user identification Evaluate authentication accuracy Implement real-time login verification Combine behavioral authentication with password login Detect abnormal typing behavior Generate alerts for suspicious access Test system with multiple login attempts Analyze system reliability and limitations Document experimental setup and findings
