Practicality analysis of utilizing text-based CAPTCHA vs. graphic-based CAPTCHA authentication.

Area of Science:

• Computer Science
• Cybersecurity
• Human-Computer Interaction

Background:

• Automated security attacks necessitate robust authentication methods like CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart).
• Existing text-based CAPTCHAs are often easily exploited, prompting the need for alternative solutions.
• Graphical CAPTCHAs are perceived as more secure but introduce usability complexities.

Purpose of the Study:

• To comprehensively compare text-based versus graphical CAPTCHA systems.
• To analyze the trade-offs between usability, security, cultural preferences, and practicality.
• To identify performance differences in terms of ease of use, security, and solving time.

Main Methods:

• Conducted local experimentations to evaluate CAPTCHA performance.
• Assessed statistical measures of practicality, ease of use, and security.
• Analyzed solving times and repetition secrecy for both CAPTCHA types.

Main Results:

• Text-based CAPTCHAs are simpler but more vulnerable to automated attacks.
• Graphical CAPTCHAs provide enhanced security but can be less user-friendly.
• A significant trade-off exists between the usability and security of different CAPTCHA implementations.

Conclusions:

• Neither text-based nor graphical CAPTCHAs are universally superior; the optimal choice depends on specific application needs.
• Further research is needed to address the practicality gap and improve human-oriented CAPTCHA designs.
• Balancing security, usability, and cultural factors is crucial for effective CAPTCHA deployment.