Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow
The collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care. Therefore, personal data are legally protected, e.g., by...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/11/7/356 |
| _version_ | 1797563024053108736 |
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| author | Stefan Becher Armin Gerl Bianca Meier Felix Bölz |
| author_facet | Stefan Becher Armin Gerl Bianca Meier Felix Bölz |
| author_sort | Stefan Becher |
| collection | DOAJ |
| description | The collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care. Therefore, personal data are legally protected, e.g., by the European General Data Protection Regulation (GDPR), which states that individuals must be transparently informed and have the right to take control over the processing of their personal data. In real applications privacy policies are used to fulfill these requirements which can be negotiated via user interfaces. The literature proposes privacy languages as an electronic format for privacy policies while the users privacy preferences are represented by preference languages. However, this is only the beginning of the personal data life-cycle, which also includes the processing of personal data and its transfer to various stakeholders. In this work we define a personal privacy workflow, considering the negotiation of privacy policies, privacy-preserving processing and secondary use of personal data, in context of health care data processing to survey applicable Privacy Enhancing Technologies (PETs) to ensure the individuals’ privacy. Based on a broad literature review we identify open research questions for each step of the workflow. |
| first_indexed | 2024-03-10T18:36:41Z |
| format | Article |
| id | doaj.art-8ea1ff1d58d04caea13dbcc8a80c95aa |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T18:36:41Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-8ea1ff1d58d04caea13dbcc8a80c95aa2023-11-20T06:09:24ZengMDPI AGInformation2078-24892020-07-0111735610.3390/info11070356Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy WorkflowStefan Becher0Armin Gerl1Bianca Meier2Felix Bölz3Faculty of Computer Science and Mathematics, Chair for Distributed Information Systems, University of Passau, 94032 Passau, GermanyFaculty of Computer Science and Mathematics, Chair for Distributed Information Systems, University of Passau, 94032 Passau, GermanyFaculty of Computer Science and Mathematics, Chair for Distributed Information Systems, University of Passau, 94032 Passau, GermanyFaculty of Computer Science and Mathematics, Chair for Distributed Information Systems, University of Passau, 94032 Passau, GermanyThe collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care. Therefore, personal data are legally protected, e.g., by the European General Data Protection Regulation (GDPR), which states that individuals must be transparently informed and have the right to take control over the processing of their personal data. In real applications privacy policies are used to fulfill these requirements which can be negotiated via user interfaces. The literature proposes privacy languages as an electronic format for privacy policies while the users privacy preferences are represented by preference languages. However, this is only the beginning of the personal data life-cycle, which also includes the processing of personal data and its transfer to various stakeholders. In this work we define a personal privacy workflow, considering the negotiation of privacy policies, privacy-preserving processing and secondary use of personal data, in context of health care data processing to survey applicable Privacy Enhancing Technologies (PETs) to ensure the individuals’ privacy. Based on a broad literature review we identify open research questions for each step of the workflow.https://www.mdpi.com/2078-2489/11/7/356formal languagesGDPRprivacy enhancing technologiesprivacy languages |
| spellingShingle | Stefan Becher Armin Gerl Bianca Meier Felix Bölz Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow Information formal languages GDPR privacy enhancing technologies privacy languages |
| title | Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow |
| title_full | Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow |
| title_fullStr | Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow |
| title_full_unstemmed | Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow |
| title_short | Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow |
| title_sort | big picture on privacy enhancing technologies in e health a holistic personal privacy workflow |
| topic | formal languages GDPR privacy enhancing technologies privacy languages |
| url | https://www.mdpi.com/2078-2489/11/7/356 |
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