International Journal of Computer Techniques Volume 12 Issue 3 | The Privacy Paradox: Blockchain and AI for Next-Gen AML in the Gaming Industry
The Privacy Paradox: Blockchain and AI for Next-Gen AML in the Gaming Industry
International Journal of Computer Techniques – Volume 12 Issue 3, May – June – 2025
ISSN: 2394-2231 | ijctjournal.org
Author
Karthick Ramachandran
Email: kartickcbe@gmail.com
Abstract
This article explores the tension between user privacy and AML regulations within the casino environment, focusing on blockchain technology, AI, and cloud computing to achieve compliance without compromising privacy.
Keywords
Blockchain, Artificial Intelligence (AI), Anti-Money Laundering (AML), Privacy, Gaming Industry, Zero-Knowledge Proofs
Conclusion and Future Directions
The study highlights blockchain-centric strategies like decentralized identity frameworks and privacy-preserving analytics to tackle AML challenges while maintaining user privacy. The integration of AI and cloud computing offers scalable compliance solutions.
References
- Boneh, D., & Franklin, M. K. (2001). Identity-Based Encryption from the Weil Pairing.
- Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.
- Buterin, V. (2014). Ethereum Whitepaper.
- Dwork, C., & Roth, A. (2014). The Algorithmic Foundations of Differential Privacy.
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