The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Practicality analysis of utilizing text-based CAPTCHA vs. graphic-based CAPTCHA authentication
Open accessAbstract
CAPTCHA as "Completely Automated Public Turing test to tell Computers and Humans Apart" is becoming an essential tool to help reduce many automated security authentication attacks. This research focused on studying differences running text-based CAPTCHA vs. graphical-based CAPTCHA in a utilization applicable dominant practicality manner. The ordinary text-based CAPTCHA works simple to prevent automated submissions as thought of being relatively easy to exploit. On the other hand, graphic-based CAPTCHA can be more preferred from users side, but can be providing some complexities making clear tradeoff analysis need between its usability and security. Even though graphic-based CAPTCHA has been generally considered as improvement of text-based CAPTCHA with respect to security, its usage is still not common, raising a practicality gap needing some search for comparing the two methods side by side comprehensively involving usability applicability and cultural preference beside security. In this regard, this research contributes towards filling the gap in knowledge running thorough local experimentations for finding different CAPTCHA performance tradeoffs in terms of real statistical humanoid possibilities of practicality easiness, repetition secrecy, and configuration solving timing, that can be used as basis for conducting further techno improvement human-oriented research.
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“To deter fraud, we employed CAPTCHA authentication [55], a test designed to ascertain whether the user is human or a computer program. Moreover, any duplicate or suspicious IP addresses led to ineligibility.”
From Can an Acceptance and Commitment Therapy-Based Smartphone App Help Individuals with Mental Health Disorders Quit Smoking? (2024) · cites this paper as [55]
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Citations
Cites
Recognizing objects in adversarial clutter: breaking a visual CAPTCHA
Mori, G., & Malik, J. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2003.1211347 · Cited by 603
A low-cost attack on a Microsoft captcha
Yan, J., & Ahmad, A. S. E. (2008) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/1455770.1455839 · Cited by 401
Text-based CAPTCHA strengths and weaknesses
Bursztein, E., Martin, M., & Mitchell, J. C. (2011) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2046707.2046724 · Cited by 355
Usability of CAPTCHAs or usability issues in CAPTCHA design
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How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
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Counting-based secret sharing technique for multimedia applications
Gutub, A. A. A., Aljuaid, N., & Khan, E. A. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5293-6 · Cited by 164
Self-citationBuilding Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
Chellapilla, K., Larson, K., Simard, P. Y., & Czerwinski, M. P. (2005) · Lecture notes in computer science · doi:10.1007/11427896_1 · Cited by 155
AI-Based Mobile Edge Computing for IoT: Applications, Challenges, and Future Scope
Singh, A. P., Satapathy, S. C., Roy, A., & Gutub, A. (2022) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-021-06348-2 · Cited by 142
Self-citationRedefining food safety traceability system through blockchain: findings, challenges and open issues
Singh, A. P., Gutub, A., Nayyar, A., & Khan, M. K. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-14006-4 · Cited by 132
Self-citationTang, M., Gao, H., Zhang, Y., Liu, Y., Zhang, P., & Wang, P. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2821096 · Cited by 113
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Cited by
Stamkou, C., Saprikis, V., Fragulis, G. F., & Antoniadis, I. (2025) · Data · doi:10.3390/data10060089 · Cited by 13
Santiago-Torres, M., Mull, K. E., Sullivan, B. M., Prochaska, J. J., Zvolensky, M. J., & Bricker, J. B. (2024) · Depression and Anxiety · doi:10.1155/2024/1055801 · Cited by 3
“To deter fraud, we employed CAPTCHA authentication [55], a test designed to ascertain whether the user is human or a computer program.”
Metadata
- Authors
- Gutub, A., & Kheshaifaty, N.
- Affiliations
- Umm al-Qura University (SA)
- Corresponding author
- Gutub, Adnan
- ORCID
- Gutub, Adnan
- Venue
- Multimedia Tools and Applications
- Published
- 2023-05-02
- Volume
- 82
- Issue
- 30
- Pages
- 46577-46609
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- PMC
- PMC10152023
- OpenAlex
- W4367677935
- Cited by
- 21
- References
- 41
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 10 · 2023: 4
- FWCI
- 4.93
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Multimedia Tools and Applications (publishedVersion, other-oa)
- PubMed Central (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Funders
- Umm Al-Qura University
- Topics
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- CAPTCHA, text-based CAPTCHA, human-computer interaction, human verification, cultural preferences, practicality
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