Enhanching Data Secure IoT Based Cloud Architecture for Banking Transactions Systems with Expertise in Cryptographic Algorithms

The banking industry's growing use of IoT-based cloud environments calls for strong security measures to guarantee the availability, confidentiality, and integrity of critical financial data. The strengths of symmetric and asymmetric encryption approaches are combined in this research to present a safe IoT cloud architecture that uses a novel hybrid cryptographic algorithm for maximum security and performance. The suggested technique addresses issues including key management, computational efficiency, and resistance to new cyberthreats by combining essential elements of Elliptic Curve Cryptography (ECC), Rivest-Shamir-Adleman (RSA), Advanced Encryption Standard (AES), Blowfish, and Twofish. A comparison between the suggested algorithm and current techniques shows notable gains in encryption speed, energy efficiency, and defense against brute force, man-in-the-middle, and quantum threats. Experimental results on a simulated IoT cloud banking environment reveal a 25 % improvement in encryption throughput and a 30 % reduction in computational overhead compared to standalone algorithms. This study highlights the practicality of implementing hybrid cryptography to secure IoT-enabled cloud services in banking, paving the way for enhanced data protection and regulatory compliance in financial systems.