Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system
The wireless body area network (WBAN) has attracted considerable attention and becomes a promising approach to provide a 24-h on-the-go healthcare service for users. However, it still faces many challenges on the privacy of users' sensitive personal information and the confidentiality of health...
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Online Access: | https://hdl.handle.net/10356/105956 http://hdl.handle.net/10220/48846 http://dx.doi.org/10.1109/ACCESS.2019.2891775 |
| _version_ | 1811682639585738752 |
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| author | Wang, Guoming Lu, Rongxing Guan, Yong Liang |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wang, Guoming Lu, Rongxing Guan, Yong Liang |
| author_sort | Wang, Guoming |
| collection | NTU |
| description | The wireless body area network (WBAN) has attracted considerable attention and becomes a promising approach to provide a 24-h on-the-go healthcare service for users. However, it still faces many challenges on the privacy of users' sensitive personal information and the confidentiality of healthcare center's disease models. For this reason, many privacy-preserving schemes have been proposed in recent years. However, the efficiency and accuracy of those privacy-preserving schemes become a big issue to be solved. In this paper, we propose an efficient and privacy-preserving priority classification scheme, named PPC, for classifying patients' encrypted data at the WBAN-gateway in a remote eHealthcare system. Specifically, to reduce the system latency, we design a non-interactive privacy-preserving priority classification algorithm, which allows the WBAN-gateway to conduct the privacy-preserving priority classification for the received users' medical packets by itself and to relay these packets according to their priorities (criticalities). A detailed security analysis shows that the PPC scheme can achieve the priority classification and packets relay without disclosing the privacy of the users' personal information and the confidentiality of the healthcare center's disease models. In addition, the extensive experiments with an android app and two java server programs demonstrate its efficiency in terms of computational costs and communication overheads. |
| first_indexed | 2024-10-01T04:00:02Z |
| format | Journal Article |
| id | ntu-10356/105956 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:00:02Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/1059562019-12-06T22:01:31Z Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system Wang, Guoming Lu, Rongxing Guan, Yong Liang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Priority Remote eHealthcare The wireless body area network (WBAN) has attracted considerable attention and becomes a promising approach to provide a 24-h on-the-go healthcare service for users. However, it still faces many challenges on the privacy of users' sensitive personal information and the confidentiality of healthcare center's disease models. For this reason, many privacy-preserving schemes have been proposed in recent years. However, the efficiency and accuracy of those privacy-preserving schemes become a big issue to be solved. In this paper, we propose an efficient and privacy-preserving priority classification scheme, named PPC, for classifying patients' encrypted data at the WBAN-gateway in a remote eHealthcare system. Specifically, to reduce the system latency, we design a non-interactive privacy-preserving priority classification algorithm, which allows the WBAN-gateway to conduct the privacy-preserving priority classification for the received users' medical packets by itself and to relay these packets according to their priorities (criticalities). A detailed security analysis shows that the PPC scheme can achieve the priority classification and packets relay without disclosing the privacy of the users' personal information and the confidentiality of the healthcare center's disease models. In addition, the extensive experiments with an android app and two java server programs demonstrate its efficiency in terms of computational costs and communication overheads. Published version 2019-06-20T01:13:38Z 2019-12-06T22:01:31Z 2019-06-20T01:13:38Z 2019-12-06T22:01:31Z 2019 Journal Article Wang, G., Lu, R., & Guan, Y. L. (2019). Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system. IEEE Access, 7, 33565-33576. doi:10.1109/ACCESS.2019.2891775 https://hdl.handle.net/10356/105956 http://hdl.handle.net/10220/48846 http://dx.doi.org/10.1109/ACCESS.2019.2891775 en IEEE Access © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 12 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Priority Remote eHealthcare Wang, Guoming Lu, Rongxing Guan, Yong Liang Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title | Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title_full | Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title_fullStr | Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title_full_unstemmed | Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title_short | Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system |
| title_sort | achieve privacy preserving priority classification on patient health data in remote ehealthcare system |
| topic | DRNTU::Engineering::Electrical and electronic engineering Priority Remote eHealthcare |
| url | https://hdl.handle.net/10356/105956 http://hdl.handle.net/10220/48846 http://dx.doi.org/10.1109/ACCESS.2019.2891775 |
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