TY - JOUR
T1 - Efficient and Traceable Patient Health Data Search System for Hospital Management in Smart Cities
AU - Zhou, Rang
AU - Zhang, Xiaosong
AU - Wang, Xiaofen
AU - Yang, Guowu
AU - Guizani, Nadra
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2021/4/15
Y1 - 2021/4/15
N2 - Smart city, as a new mode, is introduced to improve the level of city management for modern cities. In smart cities, a kernel field is health management for urban residents. Hospital management, as one of the most important components in health management, is concerned. To provide high-quality medical service for sick residents, accurate patient health data analysis is needed. Thus, data collection in patient health monitoring is necessary. To achieve this, massive Internet-of-Things devices are distributed; in general, they are resource-constrained devices. From this, lightweight index generation is needed. Furthermore, with the development of professional technologies in medical science, the hospital manager has to employ many different types of professional doctors. They need the shared patient health data to do a precise diagnosis and present an efficient therapeutic schedule for each patient. However, many secret details are recorded in the patient health data. Thus, data privacy of the shared patient health data should be maintained. In this article, we propose a new traceable patient health data search system for hospital management in smart cities. In this system, the system manager shares the encrypted patient health data to different doctors at the grain of hospital bed. Each doctor accurately finds a patient with a special feature from the patient health monitoring data. To prevent patient health data leakage, the functions of illegal search query blocking and inside malicious user tracing are designed. The performance analysis shows that our system is practical for lightweight data collecting devices.
AB - Smart city, as a new mode, is introduced to improve the level of city management for modern cities. In smart cities, a kernel field is health management for urban residents. Hospital management, as one of the most important components in health management, is concerned. To provide high-quality medical service for sick residents, accurate patient health data analysis is needed. Thus, data collection in patient health monitoring is necessary. To achieve this, massive Internet-of-Things devices are distributed; in general, they are resource-constrained devices. From this, lightweight index generation is needed. Furthermore, with the development of professional technologies in medical science, the hospital manager has to employ many different types of professional doctors. They need the shared patient health data to do a precise diagnosis and present an efficient therapeutic schedule for each patient. However, many secret details are recorded in the patient health data. Thus, data privacy of the shared patient health data should be maintained. In this article, we propose a new traceable patient health data search system for hospital management in smart cities. In this system, the system manager shares the encrypted patient health data to different doctors at the grain of hospital bed. Each doctor accurately finds a patient with a special feature from the patient health monitoring data. To prevent patient health data leakage, the functions of illegal search query blocking and inside malicious user tracing are designed. The performance analysis shows that our system is practical for lightweight data collecting devices.
KW - Data sharing
KW - Internet of Things (IoT)
KW - privacy
KW - traceability
UR - http://www.scopus.com/inward/record.url?scp=85104051165&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104051165&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2020.3028598
DO - 10.1109/JIOT.2020.3028598
M3 - Article
AN - SCOPUS:85104051165
VL - 8
SP - 6425
EP - 6436
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 8
M1 - 9212383
ER -