Enhancing Data Secure CSP Framework for User Authorization using Hybrid(Kyber-AES) Algorithm with HGA-MPSOA Optimization Algorithm in Banking Transactions

This paper presents a novel Hybrid Cloud Security Framework designed to enhance user authorization and data protection in banking transactions by integrating Kyber, a postquantum secure key encapsulation mechanism, with AES-256 symmetric encryption. To address the challenges of quantum threats, inefficient key management, and computational overhead in cloud security, the proposed system employs a hybrid cryptographic model combining the quantum resistance of Kyber with the high-speed encryption capabilities of AES. Additionally, the framework incorporates a Hybrid Genetic Algorithm with Modified Particle Swarm Optimization Algorithm (HGA-MPSOA) to dynamically optimize encryption parameters, thereby reducing processing latency and computational complexity. The system architecture features a three-layered approach—User, Cloud Service Provider, and Data Layers—that collectively ensure secure credential handling, transaction processing, dynamic key management, and audit-enabled fraud detection. Experimental analysis demonstrates that this integrated approach achieves robust security, improved performance, and scalability suitable for real-time banking operations and largescale IoT-cloud ecosystems. The framework offers a promising direction for future-proof cloud security solutions in the financial sector.