Title
Towards Privacy-Preserving Online Medical Monitoring with Reverse Skyline Query
Abstract
With the flourish of Wireless Body Area Network (WBAN), the online medical monitoring system has attracted extensive attention. Meanwhile, due to the limited resources, the hospital tends to outsource the medical services to the cloud and requires the patients' data to be encrypted before uploading. It is bound to raise a challenge in data availability, e.g., the reverse skyline query that is widely used in monitoring systems. In this paper, we propose a privacy-preserving online medical monitoring system, in which the cloud can answer the reverse skyline query over encrypted data and return the monitored data of high-risk patients to a doctor. To achieve this goal, we first design four secure protocols that can ensure the security of operands while minimizing the communication costs between two cloud servers. Based on these privacy-preserving protocols, we propose two privacy-preserving reverse skyline query schemes that can be used in the monitoring system. Security analysis shows that our proposed scheme is indeed privacy-preserving, and performance evaluations also demonstrate the efficiency of our scheme in terms of computation and communication.
Year
DOI
Venue
2021
10.1109/GLOBECOM46510.2021.9685446
2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Songnian Zhang183.84
Rongxing Lu25091301.87
Yandong Zheng3206.38