TITLE | Security Issues in Cloud Computing for Healthcare |
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ABSTRACT | Cloud computing offers scalable, cost-effective solutions for storing and processing healthcare data such as electronic health records (EHRs) and medical imaging. While it improves accessibility and operational efficiency, it introduces significant security, privacy, and compliance challenges, particularly with sensitive patient information governed by HIPAA, GDPR, and related regulations. This paper proposes a multi-phase framework for identifying, assessing, and mitigating security risks in healthcare cloud environments. Using a Security Risk Index (SRI) model, threats are quantified and mapped to public, private, hybrid, and community cloud deployments. Findings indicate that private clouds provide the highest security scores, while hybrid clouds offer a balance between scalability and protection. Key mitigation strategies include AES-256 encryption, multi-factor authentication, role-based access control, and interoperability standards such as HL7/FHIR. The framework enhances confidentiality, integrity, and availability, offering practical guidelines for secure and compliant adoption of cloud computing in healthcare. |
AUTHOR | Apurv Srivastava, Ayushi PalD Department of MCA, CMR Institute of Technology, Bengaluru, India |
PUBLICATION DATE | 2025-09-09 |
VOLUME | 12 |
DOI | DOI:10.15680/IJARETY.2025.1204079 |
79_Security Issues in Cloud Computing for Healthcare.pdf | |
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