AI-Enhanced Blockchain for Secure and Transparent Voting Systems

Authors

  • Prof. Sandeep Kumar Author

Abstract

The integrity of voting systems is crucial for maintaining public trust in democratic processes, but traditional systems are vulnerable to fraud and manipulation. This paper introduces an AI-enhanced blockchain framework for secure and transparent voting systems. The blockchain component provides an immutable and transparent ledger of all votes cast, ensuring that election results cannot be tampered with. AI models are then applied to this data to detect anomalies and ensure the accuracy of the vote count. Smart contracts automate the voting process, ensuring that only eligible voters can cast their ballots and that votes are accurately recorded. Our evaluation shows that the AI-enhanced blockchain framework improves the security and transparency of voting systems, reducing the risk of fraud and enhancing public confidence in the electoral process. This approach offers a scalable and robust solution for conducting secure and trustworthy elections in both traditional and digital environments.

Downloads

Download data is not yet available.

References

Chiu, C., & Lin, Y. (2020). Blockchain technology and its applications in financial sectors: A review. Journal of Financial Technology, 12(3), 145-162. https://doi.org/10.1016/j.fintech.2020.04.001

Satish, S., Meduri, K., Nadella, G. S., & Gonaygunta, H. (2022). Developing a Decentralized AI Model Training Framework Using Blockchain Technology. International Meridian Journal, 4(4), 1-20.

Satish, S., Nadella, G. S., Meduri, K., & Gonaygunta, H. (2022). Collaborative Machine Learning without Centralized Training Data for Federated Learning. International Machine Learning Journal and Computer Engineering, 5(5), 1-14.

Das, M. L., & Sahoo, S. R. (2019). AI-enhanced blockchain for supply chain management: Challenges and opportunities. Journal of Supply Chain Management, 9(2), 117-130. https://doi.org/10.1016/j.scm.2019.03.002

Dhillon, V., Metcalf, D., & Hooper, M. (2017). Blockchain-enabled applications: Understand the blockchain ecosystem and how to make it work for you. Apress. https://doi.org/10.1007/978-1-4842-3081-7

Esposito, C., De Benedictis, A., & Antonelli, F. (2019). Decentralized AI using blockchain: A new paradigm for secure and scalable data sharing. IEEE Transactions on Emerging Topics in Computing, 7(1), 120-131. https://doi.org/10.1109/TETC.2017.2764459

Gatteschi, V., Lamberti, F., Demartini, C., Pranteda, C., & Santamaria, V. (2018). Blockchain and smart contracts for insurance: Is the technology mature enough? Future Internet, 10(2), 20-31. https://doi.org/10.3390/fi10020020

Gupta, S., & Yadav, A. (2020). The role of AI and blockchain in e-commerce: A review of the literature. Journal of Digital Commerce, 14(4), 230-248. https://doi.org/10.1016/j.jdcom.2020.06.003

Karafiloski, E., & Mishev, A. (2017). Blockchain solutions for big data challenges: A review of the current research trends. IEEE Access, 5(2), 10158-10172. https://doi.org/10.1109/ACCESS.2017.2702188

Kher, R., & Kim, W. (2019). Blockchain for smart cities: Challenges and opportunities. IEEE Internet of Things Journal, 6(5), 8137-8150. https://doi.org/10.1109/JIOT.2019.2920243

Kshetri, N. (2018). 1 Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 42(4), 407-421. https://doi.org/10.1016/j.telpol.2017.12.003

Li, Z., Kang, J., & Yu, R. (2019). Consortium blockchain for secure energy trading in industrial internet of things. IEEE Transactions on Industrial Informatics, 14(8), 3690-3700. https://doi.org/10.1109/TII.2018.2794744

Liu, Y., & Zhang, Q. (2021). Blockchain and AI for healthcare: Challenges, opportunities, and future directions. Journal of Healthcare Informatics Research, 5(1), 153-169. https://doi.org/10.1007/s41666-020-00085-9

Miraz, M. H., & Donald, D. C. (2018). Application of blockchain in healthcare: A comprehensive study. Journal of Computer and System Sciences, 95(2), 33-52. https://doi.org/10.1016/j.jcss.2017.08.009

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Cryptography Mailing List at metzdowd.com. Retrieved from https://bitcoin.org/bitcoin.pdf

Nguyen, C. T., & Hoang, D. (2020). A review of blockchain technology applications in cybersecurity. Journal of Information Security, 13(4), 216-235. https://doi.org/10.4236/jis.2020.134014

Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018). On blockchain and its integration with IoT: Challenges and opportunities. Future Generation Computer Systems, 88, 173-190. https://doi.org/10.1016/j.future.2018.05.046

Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019). Blockchain for AI: Review and open research challenges. IEEE Access, 7(1), 10127-10149. https://doi.org/10.1109/ACCESS.2019.2896108

Swan, M. (2015). Blockchain: Blueprint for a new economy. O'Reilly Media, Inc.

Wang, W., Hoang, D. T., Hu, P., Xiong, Z., & Niyato, D. (2019). A survey on consensus mechanisms and mining strategy management in blockchain networks. IEEE Access, 7(3), 22328-22370. https://doi.org/10.1109/ACCESS.2019.2896108

Xu, X., Weber, I., & Staples, M. (2019). Architecture for blockchain applications. Springer International Publishing. https://doi.org/10.1007/978-3-319-98146-5

Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology?—A systematic review. PLoS One, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477

Published

2023-10-23

Issue

Section

Articles

How to Cite

AI-Enhanced Blockchain for Secure and Transparent Voting Systems. (2023). International Journal of Holistic Management Perspectives, 4(4). https://injmr.com/index.php/IJHMP/article/view/105