ANTI FRAUD QUIZ APP

  • Unique Paper ID: 190824
  • Volume: 12
  • Issue: 8
  • PageNo: 5137-5145
  • Abstract:
  • Online examinations have become an integral part of modern education; however, maintaining academic integrity in remote assessment environments remains a critical challenge due to cheating, impersonation, and unauthorized assistance. To address these concerns, this paper presents the design and development of an Anti-Fraud Quiz App, a secure web-based quiz platform for educational institutions that emphasizes trust, transparency, and controlled assessment delivery. Similar to concerns highlighted in prior studies on online assessment integrity [2], [4], the proposed system integrates multiple anti-fraud mechanisms to reduce unfair practices. The application enforces strong question security by disabling copying, text selection, right-click actions, and limiting screenshot capabilities where technically supported. User behavior is continuously monitored using browser-level events such as focus, blur, and visibility change to detect tab switching, window minimization, or application changes, as recommended in web security and client-side monitoring studies [3], [6], [7]. Repeated violations trigger automated warnings followed by automatic test submission, ensuring that the quiz remains fully visible and active throughout the test duration. The platform follows a role-based access control model [8] and supports three user roles: Student, Teacher, and Admin, each with distinct dashboards and privileges. Students can attend scheduled multiple-choice quizzes within defined time limits, while teachers—after administrative approval—can create, schedule, and manage tests, monitor student performance, view leaderboards, and control answer release timings. Administrators maintain complete oversight of the system, including user management, content moderation, and test supervision, aligning with established secure system design principles [5]. The Anti-Fraud Quiz App is implemented using HTML templates, CSS, and JavaScript for the frontend, with SQL employed for structured and secure data management. Experimental usage demonstrates that the proposed system significantly enhances fairness, accountability, and reliability in online assessments, making it a viable solution for institutions seeking secure digital examination platforms.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{190824,
        author = {SURESH BABU U and SAI SRINIVAS K V and K SHIVAPRASAD and GANGADHARA G H},
        title = {ANTI FRAUD QUIZ APP},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5137-5145},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190824},
        abstract = {Online examinations have become an integral part of modern education; however, maintaining academic integrity in remote assessment environments remains a critical challenge due to cheating, impersonation, and unauthorized assistance. To address these concerns, this paper presents the design and development of an Anti-Fraud Quiz App, a secure web-based quiz platform for educational institutions that emphasizes trust, transparency, and controlled assessment delivery. Similar to concerns highlighted in prior studies on online assessment integrity [2], [4], the proposed system integrates multiple anti-fraud mechanisms to reduce unfair practices.
The application enforces strong question security by disabling copying, text selection, right-click actions, and limiting screenshot capabilities where technically supported. User behavior is continuously monitored using browser-level events such as focus, blur, and visibility change to detect tab switching, window minimization, or application changes, as recommended in web security and client-side monitoring studies [3], [6], [7]. Repeated violations trigger automated warnings followed by automatic test submission, ensuring that the quiz remains fully visible and active throughout the test duration.
The platform follows a role-based access control model [8] and supports three user roles: Student, Teacher, and Admin, each with distinct dashboards and privileges. Students can attend scheduled multiple-choice quizzes within defined time limits, while teachers—after administrative approval—can create, schedule, and manage tests, monitor student performance, view leaderboards, and control answer release timings. Administrators maintain complete oversight of the system, including user management, content moderation, and test supervision, aligning with established secure system design principles [5].
The Anti-Fraud Quiz App is implemented using HTML templates, CSS, and JavaScript for the frontend, with SQL employed for structured and secure data management. Experimental usage demonstrates that the proposed system significantly enhances fairness, accountability, and reliability in online assessments, making it a viable solution for institutions seeking secure digital examination platforms.},
        keywords = {Anti-Fraud Quiz App, Online Examination System, Academic Integrity, Client-Side Monitoring, Role-Based Access Control, Web-Based Assessment, Cheating Prevention, Secure Online Testing},
        month = {January},
        }

Cite This Article

U, S. B., & V, S. S. K., & SHIVAPRASAD, K., & H, G. G. (2026). ANTI FRAUD QUIZ APP. International Journal of Innovative Research in Technology (IJIRT), 12(8), 5137–5145.

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