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Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review.

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Continuous authentication (CA) protects device data by continuously verifying users. This review highlights privacy-preserving methods for sensor-based biometrics, emphasizing the need for combined approaches to enhance security.

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biometric databasesbiometric featurescontinuous authenticationmachine learningprivacy-preservingsensor-based datauser profiling

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Area of Science:

  • Computer Science
  • Information Security
  • Biometrics

Background:

  • Protecting personal and professional information on devices requires robust data confidentiality.
  • Traditional authentication methods are often limited to initial device access.
  • Continuous authentication (CA) is crucial for ongoing device security and authorized use.

Purpose of the Study:

  • To review the state-of-the-art in Continuous Authentication (CA) and User Profiling (UP).
  • To summarize privacy-preserving methods for sensor-based biometric data used in authentication.
  • To explore practical applications and identify future research directions.

Main Methods:

  • Literature review of Continuous Authentication (CA), User Profiling (UP), and biometric databases.
  • Analysis of privacy-preserving techniques for sensor data security.
  • Synthesis of existing research to identify trends and gaps.

Main Results:

  • Sensor-based data is vital for protecting sensitive personal and professional information.
  • Existing CA and UP methods rely on various biometric features.
  • Privacy-preserving techniques are essential for the secure utilization of biometric data.

Conclusions:

  • There is a significant need for continuous authentication to ensure data confidentiality.
  • Combining diverse biometric features with advanced privacy-preserving methods is key.
  • Future research should focus on integrated biometric and privacy solutions for enhanced device security.