INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

Cloud computing has revolutionized data storage and management, offering scalable and cost-effective solutions for both individuals and organizations. In the healthcare sector, cloud storage facilitates flexible sharing and access to sensitive medical data, enhancing research and treatment processes. However, the security of personal and medical information remains a paramount concern. This study investigates advanced cryptographic techniques aimed at securing data in cloud-based healthcare systems. Utilizing a mixed-methods approach, the research examines three primary strategies: Scalable and Enhanced Key Aggregate Cryptosystem (SEKAKC), Improved Diffie-Hellman Key Exchange Algorithm (IDH-KEA), and Clustering and Partitioned Based Secured Data Transmission Method (CPB-SDTM). Data were collected through surveys and in-depth interviews with IT security professionals in major healthcare institutions. The findings indicate that SEKAKC provides robust data protection through double encryption and key aggregation, while IDH-KEA ensures secure key transmission through enhanced authentication mechanisms. CPB-SDTM enhances data management efficiency and security through advanced clustering and partitioning techniques. The study highlights the effectiveness of these methods in maintaining data confidentiality, integrity, and accessibility, thereby enhancing the overall security posture of cloud-based healthcare systems. Recommendations for implementing these cryptographic solutions are provided, along with considerations for addressing potential vulnerabilities. This research contributes to the existing literature by offering empirical evidence on the efficacy of advanced cryptographic techniques in safeguarding sensitive healthcare data in cloud environments.