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Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework.

Omar Alqahtani1, M R Dileep2,3, Mohamed Ghouse1

  • 1Department of Computer Science, College of Computer Science, King Khalid University, Abha, KSA, Saudi Arabia.

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Summary
This summary is machine-generated.

Shoulder spoofing attacks threaten mobile payments. A new Gaze-Aware Threat Detection with Contextual Scene Analysis (GATCSA) system uses cameras to detect threats and alert users, enhancing mobile payment security.

Keywords:
Computer visionGaze detectionMobile payment securityReal-Time threat analysisShoulder spoofing

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Human-Computer Interaction

Background:

  • Mobile payment systems face security risks like shoulder spoofing, where sensitive data is visually intercepted.
  • Current security measures (PIN masking, screen dimming) are insufficient against environmental threats in public spaces.

Purpose of the Study:

  • To introduce Gaze-Aware Threat Detection with Contextual Scene Analysis (GATCSA), a novel system for real-time mobile payment security.
  • To address the limitations of existing security mechanisms by detecting and responding to visual threats.

Main Methods:

  • Utilizing the front-facing camera and on-device computer vision for environmental monitoring during transactions.
  • Implementing a risk evaluation module that analyzes proximity, gaze, and focus duration to classify threats.
  • Processing data locally to ensure user privacy and efficient operation on mobile devices.

Main Results:

  • Demonstrated high accuracy in identifying threats across diverse real-world conditions (lighting, crowd density, device orientation).
  • Showcased effective user responsiveness through contextual alerts and actionable suggestions.
  • Validated the system's ability to safeguard against unauthorized visual access.

Conclusions:

  • GATCSA significantly advances mobile payment security by integrating gaze tracking and environmental awareness.
  • The system enhances user trust and privacy by providing adaptive protection against shoulder spoofing.
  • Local data processing ensures privacy and efficient performance on resource-constrained mobile devices.