Title |
New threats to health data privacy
|
---|---|
Published in |
BMC Bioinformatics, November 2011
|
DOI | 10.1186/1471-2105-12-s12-s7 |
Pubmed ID | |
Authors |
Fengjun Li, Xukai Zou, Peng Liu, Jake Y Chen |
Abstract |
Along with the rapid digitalization of health data (e.g. Electronic Health Records), there is an increasing concern on maintaining data privacy while garnering the benefits, especially when the data are required to be published for secondary use. Most of the current research on protecting health data privacy is centered around data de-identification and data anonymization, which removes the identifiable information from the published health data to prevent an adversary from reasoning about the privacy of the patients. However, published health data is not the only source that the adversaries can count on: with a large amount of information that people voluntarily share on the Web, sophisticated attacks that join disparate information pieces from multiple sources against health data privacy become practical. Limited efforts have been devoted to studying these attacks yet. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 71% |
Canada | 1 | 14% |
Austria | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
United States | 2 | 2% |
Canada | 2 | 2% |
France | 1 | <1% |
Germany | 1 | <1% |
Malaysia | 1 | <1% |
Unknown | 113 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 19% |
Student > Ph. D. Student | 15 | 12% |
Student > Bachelor | 14 | 11% |
Researcher | 11 | 9% |
Other | 7 | 6% |
Other | 20 | 16% |
Unknown | 32 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 25% |
Medicine and Dentistry | 15 | 12% |
Social Sciences | 10 | 8% |
Business, Management and Accounting | 6 | 5% |
Agricultural and Biological Sciences | 5 | 4% |
Other | 18 | 15% |
Unknown | 37 | 30% |