Title | Privacy-Protected Data Collection in Wireless Medical Sensor Networks |
Creator | |
Date Issued | 2017-09-06 |
Conference Name | 12th International Conference on Networking, Architecture, and Storage (NAS) |
Source Publication | 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings
![]() |
ISBN | 978-1-5386-3486-8 |
Conference Date | AUG 07-09, 2017 |
Conference Place | Shenzhen, CHINA |
Abstract | Medical data collection in healthcare monitoring applications through traditional frameworks raise serious concerns of patient data privacy and security, due to numerous security threats and attacks. In this paper, we investigate the concerns with privacy protected data collection and propose a novel patient privacy protected data collection framework with the aim to provide patient data privacy. We present a new secrete sharing scheme and a share reconstruction scheme for patient data privacy. We consider a distributed database consisting of multiple edge servers and each server receives a share of the patient data. Implementation result shows that secret share generation and sharing reconstruction do not require much computation time. |
DOI | 10.1109/NAS.2017.8026872 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS ID | WOS:000427036600043 |
Scopus ID | 2-s2.0-85031712385 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/7218 |
Collection | Research outside affiliated institution |
Affiliation | 1.Department of Computer and Information Sciences, Fordham University, New York, 10458, United States 2.School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006, China 3.Department of Computer Science and Technology, Huaqiao University, Xiamen, 362021, China 4.Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, United States |
Recommended Citation GB/T 7714 | Bhuiyan, Md Zakirul Alam,Zaman, Mdaliuz,Wang, Guojunet al. Privacy-Protected Data Collection in Wireless Medical Sensor Networks[C], 2017. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment