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Abstract <p>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.</p>

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Hybrid Continuous Authentication System Based on Risk Analysis and Keystroke Biometrics

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • I. S. Matiushin,
  • V. V. Korkhov

摘要

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.