Blockchain and Fog Computing for Secure and Scalable Storage of Blood Pressure Sensor Data in Biometric Systems
Azzah A. AlGhamdi, Taha Raad Al-Shaikhli, Hayder Ali Hussein, Safaa Khaleel Kadhim, Adnan Allawi Ftaiet, Mukesh Soni · 2025
This work applies blockchain and fog computing to secure, scalable blood pressure sensor data storage and transmission in biometric systems. We must address data accuracy, privacy, and security when processing and storing private fingerprint data in real time. We advise starting with raw blood pressure data. Standardizing, preprocessing, and securing this data ensures its safety and quality. A fog node temporarily stores protected data, enabling quick, low-delay real-time processing. Blockchain technology protects and unchanges data. Blockchain blocks store protected data in an independent, open record that remains unmodified. We encrypt the data again before forwarding it to healthcare computers for study or monitoring. By continually hashing confidential data, the technology reduces wait times and protects privacy. Mixed blockchain-fog computing configurations outperform standard cloud-based systems in scalability, data security, real-time processing, and efficiency. This shows that the recommended strategy works for real-time health monitoring and long-term data storage. This makes it a secure and scalable healthcare data management option. Blockchain and fog computing may improve healthcare systems.