Skip to main content
SpringerLink
Log in

Multi-factor Authentication-Based E-Exam Management System (EEMS)

  • Conference paper
  • First Online:
Proceedings of International Conference on Frontiers in Computing and Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1255))

Abstract

With the explosion of Internet-based technologies like online examination system, a lot of manual tasks have been automated, thereby saving time and effort. But deployment of such automated system has made the process more vulnerable to various risks, such as confidentiality loss, intrusion of critical data, and impersonation. In this paper, we proposed an online exam system using multi-factor authentication that allows instructors to set exams for different subjects via an integrated high text editor. Students can take exams after code-based verification and biometric authentication. It automates the process of exam scheduling, grading, and reporting, thereby reducing the workload of the instructors. A survey has been conducted to prove the efficacy of the system in terms of reliability, scalability, and availability.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Al-Hawari, F., Alshawabkeh, M., Althawbih, H., Abu Nawas, O.: Integrated and secure web-based examination Management system. Comput. Appl. Eng. Educa. 27(4), 994–1014 (2019)

    Article  Google Scholar 

  2. Nagal, R., Nemkul, P., Kumar, D., Kumar, N., Joseph, A.: Android based secure exam management system to prevent impersonation. Int. J. Latest Technol. Eng. Manage. Appl. Sci. VI, 46–49 (2017)

    Google Scholar 

  3. MisikirTashu, T., P Esclamado, J., Horvath, T.: Intelligent on-line exam management and evaluation system (2019)

    Google Scholar 

  4. Garibotto, G., Murrieri, P., Capra, A., De Muro, S., Petillo, U., Flammini, F., Esposito, M., Pragliola, C., DI Leo, G., Lengu, R., Mazzino, N., Paolillo, A., D’Urso, M., Vertucci, R., Narducci, F., Ricciardi, S., Casanova, A., Fenu, G., De Mizio, M., Ferone, A.: White paper on industrial applications of computer vision and pattern recognition, vol. 8157(2013)

    Google Scholar 

  5. Okada, A., Noguera, I., Aleksieva, L., Rozeva, A., Kocdar, S., Brouns, F., Ladonlahti, T., Whitelock, D., Guerrero- Roldán, A.: Pedagogical approaches for e-assessment with authentication and authorship verification in higher education. Br. J. Educ. Technol. (2019)

    Google Scholar 

  6. Al-Saleem, S., Ullah, H.: Security considerations and recommendations in computer-based testing. Sci. World J. 2014, 562787 (2014)

    Google Scholar 

  7. Ramu, T.S., Arivoli, T.: A framework of secure biometric based online exam authentication: An alternative to traditional exam (2013)

    Google Scholar 

  8. Gao, Q.: Using ip addresses as assisting tools to identify collusions. Int. J. Bus. Hum. Technol. 2 (2012)

    Google Scholar 

  9. Ullah, A., Xiao, H., Lilley, M., Barker, T.: Using challenge questions for student authentication in online examination. Int. J. Infonomics 5, 631–639 (2012)

    Google Scholar 

  10. Asha, S., Chellappan, C.: Biometrics: An overview of the technology, issues and applications. Int. J. Comput. Appl. 39, 35–52 (2012)

    Google Scholar 

  11. C K, S., Narasimhan, H., Padmanabhan, T.: Cryptography and Security (2011)

    Google Scholar 

  12. Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., Berg, A.C.: Ssd: Single shot multibox detector. In: European conference on computer vision, pp. 21–37. Springer (2016)

    Google Scholar 

  13. Hu, P., Ramanan, D.: Finding tiny faces. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1522–1530 (2016)

    Google Scholar 

  14. Zhou, E., Fan, H., Cao, Z., Jiang, Y., Yin, Q.: Extensive facial landmark localization with coarse-to-fine convolutional network cascade. In: The IEEE International Conference on Computer Vision (ICCV) Workshops (2013)

    Google Scholar 

  15. Mukhopadhyay, D.: Cryptography: advanced encryption standard (aes). Encycl. Comput. Sci. Technol. 279 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

    Sharthak Mallik, Shovan Halder & Pranay Saha

  2. School of Education Technology, Jadavpur University, Kolkata, India

    Saswati Mukherjee

Authors
  1. Sharthak Mallik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shovan Halder
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pranay Saha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Saswati Mukherjee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Saswati Mukherjee .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Debotosh Bhattacharjee

  2. Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

    Dipak Kumar Kole

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Subhadip Basu

  5. Center of New Technologies, University of Warsaw, Warsaw, Poland

    Dariusz Plewczynski

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mallik, S., Halder, S., Saha, P., Mukherjee, S. (2021). Multi-factor Authentication-Based E-Exam Management System (EEMS). In: Bhattacharjee, D., Kole, D.K., Dey, N., Basu, S., Plewczynski, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-7834-2_66

Download citation

Publish with us

Policies and ethics

Search

Navigation