Smart voting web based application using face recognition, Aadhar and OTP verification

Document Type : Research Paper

Authors

Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, Karnataka, India.

10.22105/riej.2020.259841.1157

Abstract

There are currently two ways to vote in India. They are secret ballots and electronic vote machines, but these two processes have some limitations or disadvantages. The current system is also insecure. Many people miss the opportunity to vote simply because they need to go to the polling station and wait for several places to vote. In this paper, we proposed a voting method. In our method, the voting process has three security stages. The first stage is facial recognition, the second stage is Election ID (EID) number verification, and the third stage is One-Time-Password (OTP) verification using the user's mobile phone number registered.

Keywords

Main Subjects


[1]     Broumi, S., Dey, A., Talea, M., Bakali, A., Smarandache, F., Nagarajan, D., ... & Kumar, R. (2019). Shortest path problem using Bellman algorithm under neutrosophic environment. Complex & intelligent systems5(4), 409-416.
[2]     Kumar, R., Dey, A., Broumi, S., & Smarandache, F. (2020). A study of neutrosophic shortest path problem. In Neutrosophic graph theory and algorithms (pp. 148-179). IGI Global.
[3]     Kumar, R., Dey, A., Broumi, S., & Smarandache, F. (2020). A study of neutrosophic shortest path problem. In Neutrosophic graph theory and algorithms (pp. 148-179). IGI Global.
[4]     Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A novel approach to solve gaussian valued neutrosophic shortest path problems. Infinite study.
[5]     Kumar, R., Edaltpanah, S. A., Jha, S., Broumi, S., & Dey, A. (2018). Neutrosophic shortest path problem. Infinite Study.
[6]     Mohapatra, H., Rath, S., Panda, S., & Kumar, R. (2020). Handling of man-in-the-middle attack in wsn through intrusion detection system. International Journal8(5), 1503-1510.
[7]     Mohapatra, H., Debnath, S., & Rath, A. K. (2019). Energy management in wireless sensor network through EB-LEACH. International journal of research and analytical reviews (IJRAR), 56-61.
[8]     Mohapatra, H., RatH, A. K., Landge, P. B., & Bhise, D.  (2020). A comparative analysis of clustering protocols of wireless sensor network. International journal of mechanical and production engineering research and development (IJMPERD) ISSN (P), 2249-6890.
[9]     Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET Networks.
[10] Mohapatra, H., Debnath, S., Rath, A. K., Landge, P. B., Gayen, S., & Kumar, R. (2020). An efficient energy saving scheme through sorting technique for wireless sensor network. International journal8(8).
[11] Mohapatra, H., & Rath, A. K. (2019). Fault-tolerant mechanism for wireless sensor network. IET wireless sensor systems10(1), 23-30.
[12] Mohapatra, H., & Rath, A. K. (2019). Fault tolerance through energy balanced cluster formation (EBCF) in WSN. In Smart innovations in communication and computational sciences (pp. 313-321). Springer, Singapore.
[13] Mohapatra, H.; Rath, A. K. Fault tolerance in WSN through PE-LEACH protocol. IET Wireless Sensor Systems 2019, 9 (6), 358-365(7).
[14] Pratihar, J., Kumar, R., Dey, A., & Broumi, S. (2020). Transportation problem in neutrosophic environment. In Neutrosophic graph theory and algorithms (pp. 180-212). IGI Global.
[15] Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A Pythagorean fuzzy approach to the transportation problem. Complex & intelligent systems5(2), 255-263.
[16] Pratihar, J., Kumar, R., Edalatpanah, S. A., & Dey, A. (2020). Modified Vogel’s approximation method for transportation problem under uncertain environment. Complex & intelligent systems, 1-12.
[17] Mohapatra, H. C. (2018). Programming: Practice. Amazon.
[18] Mohapatra, H., & Rath, A. K. (2020).Fundamentals of software engineering. BPB.
[19] Gayen, S., Jha, S., Singh, M., & Kumar, R. (2019). On a generalized notion of anti-fuzzy subgroup and some characterizations. International journal of engineering and advanced technology8, 385-390.
[20] Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Interval-valued neutrosophic subgroup based on interval-valued triple t-norm. In Neutrosophic sets in decision analysis and operations research (pp. 215-243). IGI Global.
[21] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic hypersoft subgroup. Neutrosophic sets and systems33(1), 14.
[22] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Soft subring theory under interval-valued neutrosophic environment. Neutrosophic sets and systems36(1), 16.
[23] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic subgroup. In Neutrosophic graph theory and algorithms (pp. 213-259). IGI Global.
[24] Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Introduction to interval-valued neutrosophic subring. Neutrosophic sets and systems36(1), 17.
[25] Kumar, R., Jha, S., & Singh, R. (2020). A different approach for solving the shortest path problem under mixed fuzzy environment. International journal of fuzzy system applications (IJFSA)9(2), 132-161.
[26] Kumar, R., Jha, S., & Singh, R. (2017). Shortest path problem in network with type-2 triangular fuzzy arc length. Journal of applied research on industrial engineering4(1), 1-7.
[27] Kumar, R., Edalatpanah, S. A., Jha, S., Gayen, S., & Singh, R. (2019). Shortest path problems using fuzzy weighted arc length. International journal of innovative technology and exploring engineering8(6), 724-731.
[28] Kumar, R., Edalatpanah, S. A., & Mohapatra, H. (2020). Note on “Optimal path selection approach for fuzzy reliable shortest path problem”. Journal of intelligent & fuzzy systems, (Preprint), 1-4.
[29] Mohapatra, H., Panda, S., Rath, A., Edalatpanah, S., & Kumar, R. (2020). A tutorial on powershell pipeline and its loopholes. International journal of emerging trends in engineering research8(4), 975-982.
[30] Mohapatra, H. (2009). HCR by using neural network (Master's thesis,Govt. College of Engineering and Technology, Bhubaneswar).
[31] Panda, M., Pradhan, P., Mohapatra, H., & Barpanda, N. K. (2019). Fault tolerant routing in heterogeneous environment. International journal of scientific & technology research8, 1009-1013.
[32] Nirgude, V. N., Nirgude, V. N., Mahapatra, H., & Shivarkar, S. A. (2017). Face recognition system using principal component analysis & linear discriminant analysis method simultaneously with 3d morphable model and neural network BPNN method. Global journal of advanced engineering technologies and sciences, 4, 1-6.
[33] Mohapatra, H., & Rath, A. K. (2020, October). Nub less sensor based smart water tap for preventing water loss at public stand posts. In 2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) (Vol. 1, pp. 145-150). IEEE.
[34] Mohapatra, H., & Rath, A. K. (2020). IoT-based smart water. IOT technologies in smart-cities: from sensors to big data, security and trust, 63.
[35] Mohapatra, H. (2020). Offline drone instrumentalized ambulance for emergency situations. International journal of robotics and automation (IJRA)9(4), 251-255.
[36] Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in India by using smart taps and ICT. IET wireless sensor systems9(6), 447-457.
[37] Panda, H., Mohapatra, H., & Rath, A. K. (2020). WSN-Based Water Channelization: An Approach of Smart Water. In Smart Cities—Opportunities and Challenges (pp. 157-166). Springer, Singapore.
[38] Rout, S. S., Mohapatra, H., Nayak, R. K., Tripathy, R., Bhise, D., Patil, S. P., & Rath, A. K. (2020). Smart Water Solution for Monitoring of Water Usage Based on Weather Condition. International journal8(9).
[39] Pandit, V., Majgaonkar, P., Meher, P., Sapaliga, S., & Bojewar, S. (2017, May). Intelligent security lock. 2017 international conference on trends in electronics and informatics (ICEI) (pp. 713-716). IEEE.
[40] Chauhan, C. U., Kalnawat, A., Aswale, A., Gautam, U., & Nemad, R. (2017). Survey Paper on a Novel Approach: Web Based Technique for Vote Casting. International journal of engineering and management research (IJEMR)7(5), 71-75.
[41] Mohammed, D. A. A., & Timour, R. A. (2013). Efficient e-voting android based system. International journal of advanced research in computer science and software engineering3(11).
[42] Amritkar, M. V., Dudhe, R., Sawant, K., Phutane, S., & Dadhich, P. (2016). Secure online voting system. International journal of advanced research (IJAR), 4 (11), 1648-1653. DOI: 10.21474/IJAR01/2257
[43] Sahu, H., & Choudhray, A. (2011). Polling System Using GSM Facility. International journal of scientific & engineering research2(10), 1.
[44] Rotondi, G., & Iyer, R. K. (2000). A Smart Voting Subsystem for Distributed Fault Tolerance. Coordinated Science Laboratory Report no. UILU-ENG-00-2216, CRHC-00-05.
[45] Stradiotto, C. R., Zotti, Â. I., Bueno, C. O., Bedin, S. P., Hoeschl, H. C., Bueno, T. C., ... & Mirapalheta, V. O. (2010, December). Web 2.0 e-Voting system using android platform. 2010 IEEE international conference on progress in informatics and computing (Vol. 2, pp. 1138-1142). IEEE.
[46] Patel, T., Chokshi, M., & Shah, N. (2013). Smart device based election voting system endorsed through face recognition. International Journal of advance research in computer science and software engineering3(11).
[47] Nadaph, A., Bondre, R., Katiyar, A., Goswami, D., & Naidu, T. (2015). An implementation of secure online voting system. International journal of engineering research and general science3(2), 1110-1118.
[48] Peter, M. M. V., Priya, M. V., Petchammal, M. H., & Muthukumaran, D. N. (2018). Finger Print Based Smart Voting System'. Asian journal of applied science and technology2(2), 357-361.
[49] Mahajan, M., Pawar, Y., Wagh, M., Alai, S., & Biswas, P. (2018). M-Vote (Online Voting System). International research journal of engineering and technology (IRJET), 5 (5), 4099-4102.
[50] Kumar, G., Kaushik, R., Kumar, K., & Birla, V. (2020).  Design and development to face recognition system by synthesizing AADHAR enabled platform for online voting. International journal of innovative research in computer science & technology (IJIRCST), 8 (3), 242-246.
[51] Priyadarshini, M. R., Shangamithra, M. D., Swathi, M. T., Subhaharini, M. G., & Sreenivasan, M. L. (2020). Design and realization of RFID based smart voting system with frontal face recognition technique. International journal of innovative research in technology, 6 (12), 338-343.
[52] Madhuri, B., Adarsha, M. G., Pradhyumna, K. R., & Prajwal, B. M. (2017, December). Secured Smart Voting System using Aadhar. 2017 2nd international conference on emerging computation and information technologies (ICECIT) (pp. 1-3). IEEE.
[53] Mandavkar, A. A., & Agawane, R. V. (2015, June). Mobile based facial recognition using OTP verification for voting system. 2015 IEEE international advance computing conference (IACC) (pp. 644-649). IEEE.