OPPORTUNITIES OF BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE INTEGRATION
DOI:
https://doi.org/10.70728/conf.v2.i02.031Keywords:
Artificial intelligence, blockchain, digital transformation, data analytics, prediction, automation, cybersecurity, consensus mechanisms, post-quantum cryptography, IoT.Abstract
In the era of digital transformation, the integration of artificial intelligence (AI) and blockchain technologies is one of the current scientific directions. While AI allows for deep data analysis, prediction, and automation, blockchain ensures data security, transparency, and reliability. This article analyzes the interaction between AI and blockchain, the need for integration, and synergistic results. The study uses an analytical approach and benchmarking methods to study practical examples from the fields of finance, healthcare, IoT, and cybersecurity. The results show that integration allows for reliable data storage, increased stability of AI models, enhanced protection against attacks such as data poisoning, and automated decision-making in smart contracts. At the same time, transaction speed, resource requirements, and legal and ethical issues were identified as important limitations of integration. The discussion section presents the prospects for strengthening security based on new consensus mechanisms, extended data management platforms, and post-quantum cryptography. In conclusion, it was noted that the integration of AI and blockchain will open up new opportunities for technological and economic development on a global scale.
References
[1] Mougayar W. The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology. Hoboken: Wiley, 2016. – 208 p.
[2] Tapscott D., Tapscott A. Blockchain revolution: How the technology behind Bitcoin is changing money, business, and the world. New York: Penguin, 2018. – 368 p.
[3] Дьяконов В. П. Искусственный интеллект: современные методы. Москва: Горячая Линия – Телеком, 2019. – 432 с.
[4] Musayev A. T., Abdullayev B. M. Axborot xavfsizligi asoslari. Toshkent - Fan va texnologiya, 2020. – 220 b.
[5] Crosby, M., Pattanayak, P., Verma, S., & Kalyanaraman, V. (2016). Blockchain technology: Beyond Bitcoin. Applied Innovation Review, 2, 6–10.
[6] Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2018). An overview of blockchain technology: Architecture, consensus, and future trends. In 2017 IEEE International Congress on Big Data (pp. 557–564). IEEE. https://doi.org/10.1109/BigDataCongress.2017.85
[7] Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2018). Where is current research on blockchain technology?—A systematic review. PLOS ONE, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477
[8] Dwivedi, A., Srivastava, G., Dhar, S., & Singh, R. (2021). A decentralized healthcare model using blockchain and machine learning. IEEE Access, 9, 8230–8242. https://doi.org/10.1109/ACCESS.2021.3049243
[9] Chen, Y., Ding, S., Xu, Z., Zheng, H., & Yang, S. (2020). Blockchain-based medical records secure storage and sharing. Journal of Healthcare Engineering, 2020, 1–10. https://doi.org/10.1155/2020/7180145
[10] Dorri, A., Kanhere, S. S., & Jurdak, R. (2017). Blockchain in internet of things: Challenges and solutions. In 2016 IEEE International Conference on Distributed Computing Systems Workshops (pp. 173–178). IEEE. https://doi.org/10.1109/ICDCSW.2016.50
[11] Mollah, M. B., Zhao, J., Niyato, D., Guan, Y. L., & Yuen, C. (2021). Blockchain for the Internet of Things: Present and future trends. IEEE Internet of Things Journal, 8(6), 4166–4194. https://doi.org/10.1109/JIOT.2020.3036735
[12] Firdaus, A., Anuar, N. B., Karim, A., & Khan, A. (2021). Integration of blockchain and AI for secure and intelligent systems: A review. IEEE Access, 9, 1594–1611. https://doi.org/10.1109/ACCESS.2020.3047131
[13] Raximov Sh. Sh., Abdurasulov J. K. Sun’iy intellekt asoslari. Toshkent: O‘zbekiston Milliy universiteti, 2021. – 310 b.
[14] Riggins F. J., Wamba S. F. Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. Proc. 48th Hawaii Int. Conf. on System Sciences. – 2015. – P. 1531–1540.
[15] Whitman M. E., Mattord H. J. Principles of Information Security. – Boston: Cengage Learning, 2018. – 592 p.
[16] Khusanova M. K., Rakhmonov O. Sh. Prospects and practical solutions of post-quantum cryptography. MP 2025, 61, 894-897.
