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Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

IJCT Current Issue IJCT Policy Indexing Publication Guidelines volume 12 issue 3 IJCT June 2, 2025 3 Comments

International Journal of Computer Techniques Volume 12 Issue 3 | The Privacy Paradox: Blockchain and AI for Next-Gen AML in the Gaming Industry

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The Privacy Paradox: Blockchain and AI for Next-Gen AML in the Gaming Industry

Table of Contents

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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