Secure and Privacy-Preserving Storage of E-Healthcare Data in the Cloud: Advanced Data Integrity Measures and Privacy Assurance
G Dhanalakshmi, Victo Sudha George G · International Journal of Engineering Trends and Technology · 2023
Cloud-based E-Healthcare systems require effective management of both internal and external security risks, which can be addressed through a range of cloud security practices and technologies. However, the need for significant storage capacity raises concerns about data security and cyberattacks. Thus, improving the security levels of cloud-based E-Healthcare systems remains a complex challenge that requires ongoing attention and resources. In this research, a unique method for creating a safe and private cloud storage system for electronic healthcare data is proposed. Moreover, it employs a hybrid cryptography technique that combines symmetric and asymmetric key encryption algorithms to enhance data security and privacy. The system also integrates advanced data integrity measures, including hash functions and checksums, to ensure data authenticity, integrity, and non-repudiation. The proposed system employs a range of trustworthy security measures, including advanced encryption techniques, role-based access control mechanisms, robust data validation utilising hash functions, and admin activity with data access and audit trails to safeguard against unauthorised access and prevent data leakage. The system is deployed in a cloud environment to provide scalable and cost-effective storage solutions for E-Healthcare systems. Experimental results show that the suggested system outperforms alternatives regarding efficiency, security, and privacy. It can help improve the quality of healthcare services by ensuring patient privacy and confidentiality.