De-Health: All your online health information are belong to us

Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou; Jing Chen; Zhao Li; Raheem Beyah; Ting Wang

doi:10.1109/ICDE48307.2020.00143

De-Health: All your online health information are belong to us

Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

In this paper, we study the privacy of online health data. We present a novel online health data De-Anonymization (DA) framework, named De-Health. Leveraging two real world online health datasets WebMD and HealthBoards, we validate the DA efficacy of De-Health. We also present a linkage attack framework which can link online health/medical information to real world people. Through a proof-of-concept attack, we link 347 out of 2805 WebMD users to real world people, and find the full names, medical/health information, birthdates, phone numbers, and other sensitive information for most of the re-identified users. This clearly illustrates the fragility of the privacy of those who use online health forums.

Original language	English (US)
Title of host publication	Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020
Publisher	IEEE Computer Society
Pages	1609-1620
Number of pages	12
ISBN (Electronic)	9781728129037
DOIs	https://doi.org/10.1109/ICDE48307.2020.00143
State	Published - Apr 2020
Event	36th IEEE International Conference on Data Engineering, ICDE 2020 - Dallas, United States Duration: Apr 20 2020 → Apr 24 2020

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2020-April
ISSN (Print)	1084-4627

Conference

Conference	36th IEEE International Conference on Data Engineering, ICDE 2020
Country/Territory	United States
City	Dallas
Period	4/20/20 → 4/24/20

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE48307.2020.00143

Cite this

Ji, S., Gu, Q., Weng, H., Liu, Q., Zhou, P., Chen, J., Li, Z., Beyah, R., & Wang, T. (2020). De-Health: All your online health information are belong to us. In Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020 (pp. 1609-1620). Article 9101713 (Proceedings - International Conference on Data Engineering; Vol. 2020-April). IEEE Computer Society. https://doi.org/10.1109/ICDE48307.2020.00143

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title = "De-Health: All your online health information are belong to us",

abstract = "In this paper, we study the privacy of online health data. We present a novel online health data De-Anonymization (DA) framework, named De-Health. Leveraging two real world online health datasets WebMD and HealthBoards, we validate the DA efficacy of De-Health. We also present a linkage attack framework which can link online health/medical information to real world people. Through a proof-of-concept attack, we link 347 out of 2805 WebMD users to real world people, and find the full names, medical/health information, birthdates, phone numbers, and other sensitive information for most of the re-identified users. This clearly illustrates the fragility of the privacy of those who use online health forums.",

author = "Shouling Ji and Qinchen Gu and Haiqin Weng and Qianjun Liu and Pan Zhou and Jing Chen and Zhao Li and Raheem Beyah and Ting Wang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 36th IEEE International Conference on Data Engineering, ICDE 2020 ; Conference date: 20-04-2020 Through 24-04-2020",

year = "2020",

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doi = "10.1109/ICDE48307.2020.00143",

language = "English (US)",

series = "Proceedings - International Conference on Data Engineering",

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Ji, S, Gu, Q, Weng, H, Liu, Q, Zhou, P, Chen, J, Li, Z, Beyah, R & Wang, T 2020, De-Health: All your online health information are belong to us. in Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020., 9101713, Proceedings - International Conference on Data Engineering, vol. 2020-April, IEEE Computer Society, pp. 1609-1620, 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, United States, 4/20/20. https://doi.org/10.1109/ICDE48307.2020.00143

De-Health: All your online health information are belong to us. / Ji, Shouling; Gu, Qinchen; Weng, Haiqin et al.
Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE Computer Society, 2020. p. 1609-1620 9101713 (Proceedings - International Conference on Data Engineering; Vol. 2020-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Ji, Shouling

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AU - Zhou, Pan

AU - Chen, Jing

AU - Li, Zhao

AU - Beyah, Raheem

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De-Health: All your online health information are belong to us

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