A blockchain-based system for patient data privacy and security

A blockchain-based system for patient data privacy and security

연구 분야: Safety

학회: Multimedia Tools and Applications

The integration of wireless body sensor networks with cloud computing introduces numerous challenges in ensuring the privacy and security of patient data, including access control, scalability, privacy, data confidentiality, authorization rights management, multiple access control policies, audit control, and the availability of personal health information (PHI). Traditional sensor-cloud infrastructure (S-CI) architectures, typically reliant on a single trusted authority, struggle to address these multifaceted challenges. Recognizing the evolving landscape and the need for robust security measures, Blockchain technology has emerged as a promising solution, showcasing significant advancements in various domains, especially healthcare. This study presents a detailed examination of the complex challenges within the S-CI paradigm and propose a comprehensive blockchain-based system designed to enhance the privacy and security of patient data. Our approach surpasses conventional architectures by introducing an innovative Blockchain-Based Access Control Model (BBACM). This model is specifically tailored to effectively manage authorization rights for accessing both patient physiological parameters (PPPs) and PHI. To validate the practicality and effectiveness of proposed BBACM, a real use case scenario involving a paralysis patient is implemented. Experimental results showcase that our model significantly improves fine-grained access control, security, privacy, scalability, and availability of PHI. By leveraging the decentralized and tamper-resistant nature of blockchain, our system provides a robust framework for addressing the identified challenges in S-CI. The introduced BBACM establishes a foundation for secure and privacy-preserving healthcare data management, offering a promising solution to the intricate security and privacy issues associated with the integration of wireless body sensor networks and cloud computing.