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User Authentication Method Based on Keystroke Dynamics and Mouse Dynamics with Scene-Irrelated Features in Hybrid

Xiujuan Wang1, Yutong Shi1, Kangfeng Zheng2

  • 1Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|September 9, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel user authentication method, SIURUA, to enhance accuracy in hybrid environments. SIURUA effectively fuses scene-irrelated and user-related features for reliable identification.

Keywords:
biometricskeystroke dynamicsmouse dynamicsuser authentication

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Human-Computer Interaction

Background:

  • User authentication accuracy is challenged in hybrid scenes due to varying user behaviors.
  • Simulating user actions across different operational contexts is complex.
  • Existing methods struggle with dynamic user status changes in diverse environments.

Purpose of the Study:

  • To develop an advanced user authentication method for hybrid scenes.
  • To address the challenges posed by user operation changes and status variations.
  • To improve the reliability and accuracy of biometric authentication systems.

Main Methods:

  • Feature extraction from keystroke and mouse movement data.
  • Identification and selection of scene-irrelated features with low environmental correlation.
  • Fusion of scene-irrelated features with user-related features for comprehensive user identification.

Main Results:

  • The proposed SIURUA method demonstrates improved user authentication accuracy in hybrid scenes.
  • Experimental validation achieved an authentication accuracy of 84%.
  • The fusion strategy effectively integrates diverse feature sets for robust identification.

Conclusions:

  • SIURUA offers a promising solution for accurate user authentication in complex, hybrid environments.
  • The method's ability to handle dynamic user behavior enhances security.
  • This approach contributes to more secure and adaptive biometric authentication systems.