Decentralized Personal Cloud Data Model and its Application in Campus Health Information System
Xiaoqi Weng, Hanlin Wu, Yuqiu Pan, Hong Chen · 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · 2021
While the digital information age has brought us convenience in recent years. It has also brought many security risks. The centralized data storage poses the risk of data leakage. With the breakout of the Novel Coronavirus, it is common for schools to import the health management tools such as the body temperature monitoring system. If these health data are integrated together, it can facilitate school authorities to track students' health status, but centralized management has the risk of widespread data leakage. We propose a decentralized, personal cloud data model. The history of a student's health data will be stored only in each student's personal online datastore managed by Edu Pod, which is a student health information data management application that provides various services and mechanisms to secure the personal data in the Pod. By decentralizing the data to the students' individual Pods, it prevents the occurrence of large-scale data leaks by centralized management. We apply this model to the Campus Health Information System (CHIS) which we are studying in. The student's temperature data collected by face recognition will eventually be stored only in his or her personal Pod, which is a portable educational information storage unit, and the student can share the data with the university and any third-party health management software. The application of a centralized personal cloud data model can help students' personal data not be limited to a centralized server farm and can control their personal data more freely. It can also avoid information leakage and help to protect personal privacy at the same time.