Integrating Lion Algorithm and AES-CBC Cryptography for Secure Healthcare Cloud Systems

Abstract

Background information: The confidentiality and integrity of patient data are vital given the growing worries about data security in cloud-based healthcare systems. Conventional encryption techniques encounter constraints, particularly with the rise of novel cyber threats and quantum computing.
Objectives: This research seeks to amalgamate the Lion Optimisation Algorithm (LOA) with AES-CBC cryptography to augment security and efficiency in healthcare cloud systems. The objective is to enhance data security, minimise latency, and optimise resource allocation.
Methods: The suggested system integrates the Lion Optimisation Algorithm (LOA) for key generation with AES-CBC for encryption. Experimental simulations assess performance based on critical criteria such as accuracy, latency, and energy efficiency.
Empirical results: The hybrid technique exhibits substantial enhancement, attaining 98.5% accuracy, 98% precision, and decreasing latency to 25 ms, surpassing conventional methods.
Conclusion: The amalgamation of LOA and AES-CBC offers a secure and effective resolution for healthcare cloud systems, guaranteeing strong data encryption and appropriate resource management. Future research will investigate scalability and advances in quantum-resistant cryptography.