A Secure Framework For Enhancing Data Privacy And Access Control In Healthcare Cloud Management Systems

Abstract

Cloud computing offers a pay-as-you-go model, widely utilized for its cloud storage services by both individuals and businesses to manage data efficiently. Despite its popularity, ensuring data security and privacy remains a significant challenge. This Research paper presents new solutions to enhance cloud computing security. The primary goal is to create a secure cloud environment, benefiting both users and service providers by ensuring safe data processing and delivery. Sectors like business, banking, military, and healthcare are cautious about adopting cloud storage due to security concerns. This research aims to address these concerns and attract more users by providing secure cloud solutions. The first approach introduces the Scalable and Enhanced Key Aggregate Cryptosystem (SEKAC), enhancing healthcare data security through double encryption. This method ensures confidentiality and integrity by securely storing and retrieving medical data, outperforming previous techniques. The second approach employs the Improved Diffie-Hellman Key Exchange Algorithm, which secures data transmission from cloud servers to users. This method enhances security by generating secure keys and facilitates safe key sharing through attribute-based encryption. The third strategy focuses on secure data exchange using advanced data splitting and clustering techniques. The Clustering and Partitioned-based Secured Data Transmission Method, combined with the Enhanced Krill Herd Algorithm and hybrid Elliptic Cryptographic technique, improves data security and efficiency. Overall, this research introduces innovative methods to bolster cloud security, particularly for healthcare, ensuring secure data storage, retrieval, and transmission.