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Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication

José María Jorquera Valero1, Pedro Miguel Sánchez Sánchez2, Lorenzo Fernández Maimó3

  • 1Department of Information and Communications Engineering (DIIC), University of Murcia, 30100 Murcia, Spain. josemaria.jorquera@um.es.

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Summary

This study introduces an intelligent continuous authentication system for mobile devices, enhancing security and user experience. It accurately and adaptively authenticates users in real-time using behavioral patterns and machine learning.

Keywords:
adaptabilityanomaly detectionapplicationscontinuous authenticationcybersecuritymachine learningmobile devicessensors

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Human-Computer Interaction

Background:

  • Continuous authentication on mobile devices aims to improve security and user experience by recognizing user behavior patterns.
  • Existing systems face challenges in authentication accuracy, adaptability to user behavior changes, and resource consumption (battery, computation, response time).

Purpose of the Study:

  • To design and implement an intelligent and adaptive continuous authentication system for mobile devices.
  • To address challenges in accuracy, adaptability, and resource efficiency for mobile continuous authentication.

Main Methods:

  • The system utilizes statistical information from applications and sensors.
  • Machine learning techniques, specifically anomaly detection, are employed for real-time user authentication.
  • The system is designed to be adaptive to evolving user behaviors.

Main Results:

  • Experiments demonstrated the proposed system's accuracy and adaptability.
  • The solution showed efficient resource consumption, considering mobile device limitations.
  • Real-time authentication capabilities were successfully implemented.

Conclusions:

  • The developed intelligent and adaptive continuous authentication system effectively enhances mobile security and user experience.
  • The system's practical utility is validated through a proof-of-concept online bank application, enabling context-aware actions based on authentication levels.