AI-Driven Hybrid Cryptography for Secure Fund Transfers: Integrating RSA, AES, and Automated Key Rotation

Abstract

Traditional encryption methods, such as RSA and AES, are limited in their ability to ensure the security of fund transfers. RSA is characterized by its high computational costs, while AES is plagued by key distribution vulnerabilities. In order to resolve this issue, we suggest a hybrid cryptographic framework that is AI-driven. This framework combines AES for fast encryption and RSA for secure key exchange, and it is further augmented with AI-based anomaly detection and automated key rotation. This adaptive approach is a robust solution for financial transactions, as it dynamically updates encryption parameters and detects threats in real-time, thereby assuring stronger security, reduced unauthorized access, and enhanced data integrity.