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Research Paper | Computer Science and Information Technology | United States of America | Volume 13 Issue 3, March 2024 | Popularity: 5.5 / 10

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Harnessing Quantum Cryptography and Artificial Intelligence for Next - Gen Payment Security: A Comprehensive Analysis of Threats and Countermeasures in Distributed Ledger Environments

Shobhit Agrawal

Abstract: In the contemporary digital era, secure payment systems are imperative for ensuring trust and reliability in financial transactions. Traditional cryptographic methods, once considered robust, face formidable challenges with the advent of quantum computing. In response, distributed ledger technology DLT has emerged as a promising paradigm for enhancing payment security. This study presents an in - depth analysis of the integration of quantum cryptography and artificial intelligence AI within distributed ledger technology DLT - based payment systems, aiming to enhance security against the evolving landscape of cyber threats. By examining specific vulnerabilities such as Sybil attacks, double - spending, and transaction manipulation, this research proposes a comprehensive framework of AI - driven countermeasures and mitigation strategies. Furthermore, the paper explores future research directions, emphasizing the critical role of quantum - resistant cryptographic techniques and AI in securing DLT payment infrastructures. The findings underscore the potential of combining quantum cryptography and AI to create resilient, secure payment solutions for the digital age.

Keywords: Artificial Intelligence, Cyber Security, Payment Security, Quantum Computing, Distributed Ledger Technology, DLT, Quantum Resistance, Anomaly Detection, Sustained Payment System Security, Cyber Threat Mitigation

Edition: Volume 13 Issue 3, March 2024

Pages: 682 - 687

DOI: https://www.doi.org/10.21275/SR24309103650

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