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ProCAPTCHA: A profile-based CAPTCHA for personal password authentication.

Nilobon Nanglae1, Pattarasinee Bhattarakosol1

  • 1Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.

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Summary
This summary is machine-generated.

ProCAPTCHA enhances security by generating unique CAPTCHAs using biometrics and user profiles, effectively distinguishing humans from bots. This novel approach significantly improves bot detection accuracy and login security.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Human-Computer Interaction

Background:

  • Traditional CAPTCHA systems struggle to differentiate humans from sophisticated bots.
  • Existing CAPTCHA vulnerabilities necessitate advanced security measures.
  • Third-party attacks pose a significant threat to CAPTCHA integrity.

Purpose of the Study:

  • To introduce ProCAPTCHA, a novel CAPTCHA system.
  • To enhance user authentication by merging biometrics and user profiles.
  • To develop a CAPTCHA resistant to bot attacks.

Main Methods:

  • ProCAPTCHA merges keystroke dynamics and personal information for individualized CAPTCHA generation.
  • User profile data and algorithm ensure CAPTCHA randomness and uniqueness per login.
  • Performance evaluation assessed ProCAPTCHA's accuracy against legitimate users and intruders.

Main Results:

  • ProCAPTCHA achieved 100% accuracy in identifying legitimate users.
  • 60% of intruders were misclassified as legitimate users.
  • Bots experienced significant delays, often failing due to system time limits, preventing access.

Conclusions:

  • ProCAPTCHA offers a robust solution against automated bot attacks.
  • The system's reliance on unique user biometrics and profiles enhances security.
  • ProCAPTCHA effectively mitigates unauthorized access by bots.