Privacy-preserving graph-based machine learning with fully homomorphic encryption for collaborative anti-money laundering

• Main Author: Effendi, Fabrianne
• Other Authors: Anupam Chattopadhyay
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Privacy-preserving; Graph-based machine learning; Fully homomorphic encryption; Anti-money laundering
• Online Access: https://hdl.handle.net/10356/175347
• Institution: Nanyang Technological University

With the increasing digitalization of financial transactions and the rise of cybercrime, combating money laundering has become increasingly complex. Graph-based machine learning techniques have emerged as promising tools for Anti-Money Laundering (AML) detection, capable of capturing intricate relat...