Vol. 3 No. 2 (2023): Volume-III, Number-II, 2023
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Homomorphic Encryption and Secure Multi-Party Computation for Privacy-Preserving Data Mining in Banking
Abstract 7
Abstract
The banking sector increasingly relies on data mining and machine learning across distributed datasets to perform credit scoring, fraud detection, anti-money-laundering (AML) analytics, and personalized services. These capabilities, however, are constrained by stringent privacy requirements, regulatory obligations, and the commercial sensitivity of customer data. Cr ... read more