PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems
In IoT-based healthcare, medical devices are more vulnerable to numerous security threats and attacks than other network devices. Current solutions are able to provide protection to patients’ data during data transmission to some extent, but cannot prevent some sophisticated threats and attacks suc...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE Communications Society
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23751/ http://umpir.ump.edu.my/id/eprint/23751/1/PrivacyProtector.pdf |
| _version_ | 1848821879155982336 |
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| author | Luo, Entao Bhuiyan, Md Zakirul Alam Wang, Guojun Rahman, Md. Arafatur Wu, Jie Atiquzzaman, Mohammed |
| author_facet | Luo, Entao Bhuiyan, Md Zakirul Alam Wang, Guojun Rahman, Md. Arafatur Wu, Jie Atiquzzaman, Mohammed |
| author_sort | Luo, Entao |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In IoT-based healthcare, medical devices are more vulnerable to numerous security threats and attacks than other network devices. Current solutions are able to provide protection to patients’ data during data transmission to some extent, but
cannot prevent some sophisticated threats and attacks such as collusion attacks and data leakage. In this article, we first investigate the challenges,with privacy protected data collection. Then we propose a practical framework called PrivacyProtector, patient privacy protected data collection, with the objective of preventing these types of attacks. PrivacyProtector includes the ideas of secret sharing and share repairing (in case of data loss or compromise) for patients’ data privacy. Since it is the first time, we apply the Slepian-Wolf-coding-based secret sharing (SW-SSS) in PrivacyProtector. In the framework, we use a distributed database consisting of multiple cloud servers, which ensures that the privacy of patients’ personal data can remain protected as long as one of the servers remains uncompromised. We also present a patient access control scheme in which multiple cloud servers collaborate in shared
construction to offer patients’ data to healthcare providers without revealing the content of the data. The privacy performance analysis has shown that the PrivacyProtector framework is secure and privacy-protected against various attacks. |
| first_indexed | 2025-11-15T02:32:21Z |
| format | Article |
| id | ump-23751 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:32:21Z |
| publishDate | 2018 |
| publisher | IEEE Communications Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-237512019-01-22T02:55:05Z http://umpir.ump.edu.my/id/eprint/23751/ PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems Luo, Entao Bhuiyan, Md Zakirul Alam Wang, Guojun Rahman, Md. Arafatur Wu, Jie Atiquzzaman, Mohammed Q Science (General) In IoT-based healthcare, medical devices are more vulnerable to numerous security threats and attacks than other network devices. Current solutions are able to provide protection to patients’ data during data transmission to some extent, but cannot prevent some sophisticated threats and attacks such as collusion attacks and data leakage. In this article, we first investigate the challenges,with privacy protected data collection. Then we propose a practical framework called PrivacyProtector, patient privacy protected data collection, with the objective of preventing these types of attacks. PrivacyProtector includes the ideas of secret sharing and share repairing (in case of data loss or compromise) for patients’ data privacy. Since it is the first time, we apply the Slepian-Wolf-coding-based secret sharing (SW-SSS) in PrivacyProtector. In the framework, we use a distributed database consisting of multiple cloud servers, which ensures that the privacy of patients’ personal data can remain protected as long as one of the servers remains uncompromised. We also present a patient access control scheme in which multiple cloud servers collaborate in shared construction to offer patients’ data to healthcare providers without revealing the content of the data. The privacy performance analysis has shown that the PrivacyProtector framework is secure and privacy-protected against various attacks. IEEE Communications Society 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23751/1/PrivacyProtector.pdf Luo, Entao and Bhuiyan, Md Zakirul Alam and Wang, Guojun and Rahman, Md. Arafatur and Wu, Jie and Atiquzzaman, Mohammed (2018) PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems. IEEE Communications Magazine, 5 (2). pp. 163-168. ISSN 0163-6804. (Published) https://doi.org/10.1109/MCOM.2018.1700364 https://doi.org/10.1109/MCOM.2018.1700364 |
| spellingShingle | Q Science (General) Luo, Entao Bhuiyan, Md Zakirul Alam Wang, Guojun Rahman, Md. Arafatur Wu, Jie Atiquzzaman, Mohammed PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title | PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title_full | PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title_fullStr | PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title_full_unstemmed | PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title_short | PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems |
| title_sort | privacyprotector: privacy-protected patient data collection in iot-based healthcare systems |
| topic | Q Science (General) |
| url | http://umpir.ump.edu.my/id/eprint/23751/ http://umpir.ump.edu.my/id/eprint/23751/ http://umpir.ump.edu.my/id/eprint/23751/ http://umpir.ump.edu.my/id/eprint/23751/1/PrivacyProtector.pdf |