Details of Research Outputs

TitlePrivacy-Protected Data Collection in Wireless Medical Sensor Networks
Creator
Date Issued2017-09-06
Conference Name12th International Conference on Networking, Architecture, and Storage (NAS)
Source Publication2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings
ISBN978-1-5386-3486-8
Conference DateAUG 07-09, 2017
Conference PlaceShenzhen, 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.

DOI10.1109/NAS.2017.8026872
URLView source
Indexed ByCPCI-S
Language英语English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000427036600043
Scopus ID2-s2.0-85031712385
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7218
CollectionResearch 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.
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