Hybrid Continuous Authentication System Based on Risk Analysis and Keystroke Biometrics

In response to the need for more secure authentication methods, new paradigms have been developed, such as continuous authentication (CA). We present a hybrid CA method combining ML-enhanced risk-based authentication (MLE-RBA) and keystroke dynamics. While this paper focuses on architectural design, earlier experiments indicate that MLE-RBA can significantly improve threat detection over earlier RBA approaches. The combination with keystroke biometrics is expected to further strengthen real-time detection of session hijacking attempts without compromising usability.