Granular Privacy Preservation in Cloud-Based Healthcare Systems

Abstract

With the rapid advancement of cloud computing technologies, healthcare systems are increasingly leveraging cloud-based solutions for data storage, management, and analysis. However, this shift raises significant privacy concerns related to the sensitive nature of healthcare data. This paper explores granular privacy preservation techniques tailored for cloud-based healthcare systems, focusing on the necessity of safeguarding patient information while enabling data sharing and collaboration among healthcare providers. We discuss existing frameworks and propose a multi-layered architecture that incorporates data encryption, access control, and anonymization methods to enhance privacy. The effectiveness of the proposed framework is evaluated through case studies and simulations, demonstrating its potential to balance privacy and utility in cloud-based healthcare scenarios.