Vol. 4 No. 1 (2024): Journal of AI-Assisted Scientific Discovery
Articles

A Hybrid Model Integrating AI and Blockchain for Secure Identity Management in Decentralized Systems

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  • Alexei Ivanov
Alexei Ivanov
AI Researcher, Yandex, Moscow, Russia
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Published 06-02-2024

Keywords

  • AI,
  • Blockchain
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
A. Ivanova, “A Hybrid Model Integrating AI and Blockchain for Secure Identity Management in Decentralized Systems”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, pp. 253–259, Feb. 2024, Accessed: Dec. 28, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/253

Abstract

In the evolving landscape of decentralized systems, ensuring secure and efficient identity management remains a challenge. Traditional centralized identity management models expose vulnerabilities to cyber threats, such as data breaches and identity theft. The integration of Artificial Intelligence (AI) and Blockchain presents a promising hybrid approach to enhance security and privacy. AI, with its advanced data processing and decision-making capabilities, can optimize identity verification processes, while Blockchain ensures transparency, immutability, and decentralization, offering a robust foundation for secure identity management. This paper explores the synergy between AI and Blockchain in decentralized systems, discussing their combined benefits, use cases, and challenges. It also proposes a framework for integrating AI and Blockchain for secure identity management and highlights potential future developments in this domain. The hybrid model presented here not only ensures enhanced privacy but also promises a seamless, user-friendly experience in managing digital identities.

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