A Survey on Biometrics Based Secured E-Voting System

Authors

  • Tazaeen Ilyas Shaikh  School of Computer Science and Technology, MITWPU, Pune, Maharashtra, India
  • Suyash Santosh Gugale  School of Computer Science and Technology, MITWPU, Pune, Maharashtra, India
  • Hritika Kamalakar Ranadhir  School of Computer Science and Technology, MITWPU, Pune, Maharashtra, India
  • Vrushali Prakash Patil  School of Computer Science and Technology, MITWPU, Pune, Maharashtra, India
  • Omkaresh Kulkarni  School of Computer Science and Technology, MITWPU, Pune, Maharashtra, India

Keywords:

e-voting system, fingerprint verification, face recognition, machine learning, deep learning.

Abstract

An election is a powerful tool of any democratic country, which allows every citizen to exercise their right to vote. Though in-person voting is the most widely used medium for a citizen to vote, circumstances like a pandemic, natural disasters, or other location-based issues could deter an individual from doing so. Electronic voting systems must be legitimate, accurate, safe, and convenient when used for elections. Nonetheless, adoption may be limited by potential problems associated with electronic voting systems. With the use of biometrics and encryption techniques the whole system can be made secured. The drive towards biometrics has been facilitated by its largely apolitical nature. The biometrics based secured e-voting system is a beautiful replacement for traditional electronic voting solutions with distributed, non-repudiation, and security protection characteristics. That’s why in this paper we have performed a survey on e-voting system.

References

  1. Yang, X. Yi, S. Nepal, A. Kelarev and F. Han, “A Secure Verifiable Ranked Choice Online Voting System Based on Homomorphic Encryption,” in IEEE Access, vol. 6, pp. 20506-20519, 2018. doi: 10.1109/ACCESS.2018.2817518
  2. S.M. Jambhulkar, Prof. Jagdish B. Chakole, Prof. Praful. R. Pardhi,” A Secure Approach for Web Based Internet Voting System using Multiple Encryption”, 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies.
  3. Komatineni, S., & Lingala, G. (2020). Secured E-voting System Using Two-factor Biometric Authentication. In 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) (pp. 245-248). IEEE. ISBN: 978-1-7281-4889-2.
  4. Mohan, M. Madhu, M. Prakash, M. Madhuseelan, and A. Kishore Kumar (2020). Design of Secured Biometric Voting Machine. International Journal of Research in Engineering, Science and Management, 3(3),199-201.
  5. Jamkar, A., Kulkarni, O., Salunke, A., & Pljonkin, A. (2019). Biometric Voting Machine Based on Fingerprint Scanner and Arduino. In 2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT), 322-326. IEEE. ISBN: 978-1- 7281-1711-9.
  6. Patil, S., Bansal, A., Raina, U., Pujari, V., & Kumar, R. (2018). E-Smart Voting System with Secure Data Identification Using Cryptography.In 2018 3rd International Conference for Convergence in Technology (I2CT).
  7. Kavitha, S. N., Shahila, K., & Kumar, S. P. (2018). Biometrics Secured Voting System with Finger Print, Face and Iris Verification. In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC) (pp. 743-746). IEEE. ISBN: 978-1-5386-3452-3.
  8. Rezwan, R., Ahmed, H., Biplob, M. R. N., Shuvo, S. M., & Rahman, M. A. (2017). Biometrically secured electronic voting machine. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 510- 512). IEEE.
  9. Bindia, & Aggarwal, N. (2016). NEXT GENERATION HI-TECH E-VOTING TECHNIQUES IN INDIA. International Journal of Science, Engineering and Technology Research (IJSETR), 5(1), 228–233.
  10. Chakraborty, S., Mukherjee, S., Sadhukhan, B., & Yasmin, K. T. (2016). Biometric voting system using Aadhaar card in India. International journal of Innovative research in Computer and Communication Engineering, 4(4). 5284- 5291.
  11. Madan Mohan Reddy, B., & Srihari, D. (2015). RFID Based Biometric Voting Machine Linked to Aadhaar For Safe and Secure Voting. International Journal of Science, Engineering and Technology Research (IJSETR), 4(4), 995–1001.
  12. Dyta, P., Junjare, S., Pandita, A., & Ingle, D. R. (2015). E-Voting – Secured NFC Voting. IJSRD - International Journal for Scientific Research & Development, 3(1), 1032–1036.
  13. Sudhakar, M., & Sai, B. D. S. (2015). Biometric system based electronic voting machine using arm9 microcontroller. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), 10(1), 57-65.
  14. Pomares, J., Levin, I., Alvarez, R. M., Mirau, G. L., & Ovejero, T. (2014). From piloting to roll-out: voting experience and trust in the first full e-election in argentina. In 2014 6th International Conference on Electronic Voting: Verifying the Vote (EVOTE). 1-10. IEEE.
  15. Mythili, K., Kanagavalli, K., & Shibi, B. (2014). An efficient method to avoid false voting using sms voting approach. International Journal of Computer Science and Mobile Computing, 3(2), 804-810.
  16. Ujir, H., Sing, L. C., & Hipiny, I. (2014). A modular approach and voting scheme on 3D face recognition. In 2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). 196-199. IEEE.
  17. Agarwal, H., & Pandey, G. N. (2013). Online voting system for India based on AADHAAR ID. In 2013 Eleventh International Conference on ICT and Knowledge Engineering.1- 4. IEEE.
  18. Hussien, H., & Aboelnaga, H. (2013). Design of a secured e-voting system. In 2013 International Conference on Computer Applications Technology (ICCAT). 1-5. IEEE.
  19. Kumar, D. A., & Begum, T. U. S. (2012). Electronic voting machine—A review. In International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) (pp. 41-48). IEEE. DOI:
  20. Gentles, D., & Sankaranarayanan, S. (2011). Biometric secured mobile voting. In 2011 Second Asian Himalayas International Conference on Internet (AH-ICI) (pp. 1-6). IEEE.
  21. Shahram Najam Syed and Aamir Zeb Shaikh and Shabbar Naqvi, A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition, Mehran University Research Journal of Engineering and Technology, 2018, 37 (1), pp.59-68
  22. Cheema, Muhammad & Ashraf, Nouman & Aftab, Asad & Qureshi, Hassaan & Kazim, Muhammad & Azar, Ahmad. (2020). Machine Learning with Blockchain for Secure E-voting System. 177-182. 10.1109/SMART-TECH49988.2020.00050.
  23. Sruthi, M. and K Shanjai. “Automatic Voting System Using Convolutional Neural Network.” Journal of Physics: Conference Series 1916 (2021)
  24. Salama AbdELminaam D, Almansori AM, Taha M, Badr E (2020) A deep facial recognition system using computational intelligent algorithms. PLOS ONE 15(12): e0242269.

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Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
Tazaeen Ilyas Shaikh, Suyash Santosh Gugale, Hritika Kamalakar Ranadhir, Vrushali Prakash Patil, Omkaresh Kulkarni, " A Survey on Biometrics Based Secured E-Voting System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.63-72, May-June-2022.