Integrating Blockchain and AI for Optimized Digital Identity Verification
Ainur Jumagaliyeva, Dusmat Zhamangarin, Gulzhan Muratova, Aliya Кoxegen · Trudy Universiteta · 2024
The rapid evolution of the digital age the use of blockchain and artificial intelligence to improve digital identification methods responds to the challenges of ensuring the security and reliability of personal data. Traditional verification methods are increasingly inadequate, evidenced by the alarming escalation in identity fraud incidents. In response, this research explores an innovative integration of blockchain technology and artificial intelligence to fortify the security, efficiency, and privacy of digital identity verification processes. Blockchain's decentralized and immutable ledger offers a new paradigm for secure and manageable digital identities, while AI's capabilities in automating complex processes and detecting fraud through pattern analysis provide a complementary, synergistic solution. This study addresses the challenges of traditional verification systems, highlights the potential of integrating blockchain and artificial intelligence, and presents a methodology for creating an identity verification information system. Results validated through a series of tests, demonstrating significant improvements in verification accuracy, speed, and resistance to fraudulent activities. Despite promising outcomes, challenges such as scalability, privacy, and integration complexity were identified, with proposed solutions aiming to address these issues for the practical implementation and long-term success of integrated digital identity verification systems.