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

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.