Open Access
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
Article Number 03005
Number of page(s) 4
Section Informatics
Published online 06 December 2021
  1. K. M. AboSamra, A. A. AbdelHafez, G. M. R. Assassa, and M. F. M. Mursi, “A practical, secure, and auditable e-voting system,” J. Inf. Secur. Appl., vol. 36, pp. 69–89, (2017). [Google Scholar]
  2. L. Yuan, M. Li, C. Guo, W. Hu, and Z. Wang, “A verifiable e-voting scheme with secret sharing,” Int. J. Netw. Secur., vol. 19, no. 2, pp. 260–271, (2017). [Google Scholar]
  3. D. Springall et al., “Security analysis of the estonian internet voting system,” Proc. ACM Conf. Comput. Commun. Secur., no. May, pp. 703–715, (2014). [Google Scholar]
  4. Z. J. Mohammed Ameen, “Secure Electronic Voting Application Based on Face Recognition and Ciphering,” Res. Artic. J. Comput. Sci. Appl. Inf. Technol., vol. 3, no. 2, pp. 1–11, (2018). [Google Scholar]
  5. A. DeviS and A. JothiR, “Confidential E-Voting System Using Face Detection and Recognition,” Int. J. Eng. Tech., vol. 3, no. 4, pp. 81–85, (2017). [Google Scholar]
  6. T. U. Pavshere and S. V More, “A Survey on Secured E-Voting System Using Biometric,” Int. J. Adavanced Res. Sci. Eng. Technol., vol. 3, no. 3, pp. 1700–1704, (2016). [Google Scholar]
  7. G. Uzedhe and J. Okhaifoh, “a Technological Framework for Transparent E-Voting Solution in the Nigerian Electoral System,” Niger. J. Technol., vol. 35, no. 3, p. 627, (2016). [CrossRef] [Google Scholar]
  8. M. T. Afrin and K. J. Satao, “E-Voting System for on Duty Person Using RSA Algorithm with Kerberos Concept,” Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET, vol. 2, no. 7, pp. 2258–2261, (2013). [Google Scholar]
  9. C. Sravani and G. Murali, “Secure electronic voting using blockchain and homomorphic encryption,” Int. J. Recent Technol. Eng., vol. 8, no. 2 Special Issue 11, pp. 1002–1007, (2019). [Google Scholar]
  10. A. Ampuni, A. Fitrianto, and R. Indrajaya, “E-voting infrastructure system for Indonesia,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 1, pp. 761–763, (2019). [CrossRef] [Google Scholar]
  11. D. V. R. Aditya B Kakde, “Mobile Voting System Secutrity Schema Based on Elliptic Curve Cryptography,” Int. J. Electr. Electron. Res., vol. 3, no. 4, pp. 209–214, (2015). [Google Scholar]
  12. O. O. M, A. O. T, O. E. O, and O. O. O, “Performance Assessment Of An Imperceptible And Robust Secured E-Voting Model,” Int. J. Sci. Technol. Res., vol. 3, no. 6, pp. 127–132, (2014). [Google Scholar]
  13. T. Lauer and T. W. Lauer, “The Risk of eVoting,” Electron. J. E-government, vol. 2, no. March, pp. 177–186, (2016). [Google Scholar]
  14. A. Raj, G. T. George, P. Konnully, and S. R. Nair, “Vote Blocks : A Block Chain Based E -Voting System,” Int. J. Comput. Sci. Trends Technol., vol. 7, no. 3, pp. 49–54, (2019). [Google Scholar]
  15. S. bindewari and J. Surana, “Design and Implementation a Smart E-Voting Model : Decentralization Using Blockchain,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 5, no. 4, pp. 109–114, (2019). [Google Scholar]
  16. K. M. Khan, J. Arshad, and M. M. Khan, “Secure digital voting system based on blockchain technology,” Int. J. Electron. Gov. Res., vol. 14, no. 1, pp. 53–62, (2018). [CrossRef] [Google Scholar]
  17. S. Nisha and M. Farik, “RSA Public Key Cryptography Algorithm A Review,” Int. J. Sci. Technol. Res., vol. 06, no. 07, pp. 187–191, (2017). [Google Scholar]
  18. M. Preetha and M. Nithya, “A STUDY AND PERFORMANCE ANALYSIS OF RSA ALGORITHM,” Int. J. Comput. Sci. Mob. Comput., vol. 2, no. 6, pp. 126–139, (2013). [Google Scholar]
  19. I. Jahan, M. Asif, and L. Jude Rozario, “Improved RSA cryptosystem based on the study of number theory and public key cryptosystems,” Am. J. Eng. Res., vol. 4, no. 1, pp. 2320–847, (2015). [Google Scholar]
  20. L. Sumaryanti and N. Nurcholis, “Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 4, no. 1, pp. 131–141, (2020). [Google Scholar]
  21. L. Sumaryanti, L. Lamalewa, and T. Istanto, “Implementation Of Fuzzy Multiple Criteria Decision Making For Recommendation Paddy Fertilizer,” Int. J. Mech. Eng. Technol., vol. 10, no. 3, pp. 236–243, (2019). [Google Scholar]
  22. L. Sumaryanti, T. K. Rahayu, A. Prayitno, and Salju, “Comparison study of SMART and AHP method for paddy fertilizer recommendation in decision support system,” IOP Conf. Ser. Earth Environ. Sci., vol. 343, no. 1, (2019). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.