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This research aims to enhance security in authentication methods using a hybrid continuous authentication approach.

July 22, 2026Physics of Particles and Nuclei0 citations

Hybrid Continuous Authentication System Based on Risk Analysis and Keystroke Biometrics

Key Points

This research aims to enhance security in authentication methods using a hybrid continuous authentication approach.
Developed a hybrid CA method integrating ML-enhanced risk-based authentication and keystroke dynamics.
Focused on the architectural design of the authentication system.
Analysed earlier experiments to validate the efficacy of MLE-RBA in improving threat detection.
MLE-RBA showed significant improvements in threat detection over previous RBA approaches, enhancing overall security.
The integration with keystroke biometrics is expected to boost real-time detection of session hijacking attempts.
No specific numerical data is provided, but the qualitative impact on usability and detection strength is noted.

Abstract

Abstract 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.

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