Privacy-Preserving Identifiers for IoT: A Systematic Literature Review
The Internet of Things (IoT) paves the way for smart applications such as in E-health, E-homes, transportation, or energy production. However, IoT technologies also pose privacy challenges for their users, as they allow the tracking and monitoring of the users' behavior and context. The EU Gene...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9194705/ |
| _version_ | 1818330483699744768 |
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| author | Mahdi Akil Lejla Islami Simone Fischer-Hubner Leonardo A. Martucci Albin Zuccato |
| author_facet | Mahdi Akil Lejla Islami Simone Fischer-Hubner Leonardo A. Martucci Albin Zuccato |
| author_sort | Mahdi Akil |
| collection | DOAJ |
| description | The Internet of Things (IoT) paves the way for smart applications such as in E-health, E-homes, transportation, or energy production. However, IoT technologies also pose privacy challenges for their users, as they allow the tracking and monitoring of the users' behavior and context. The EU General Data Protection Regulation (GDPR) mandates data controller to follow a data protection by design and default approach by implementing for instance pseudonymity for achieving data minimisation. This paper provides a systematic literature review for answering the question of what types of privacy-preserving identifiers are proposed by the literature in IoT environments for implementing pseudonymity. It contributes with classifications and analyses of IoT environments for which privacy-preserving identifiers have been proposed and of the pseudonym types and underlying identity management architectures used. Moreover, it discusses trends and gaps in regard to addressing privacy trade-offs. |
| first_indexed | 2024-12-13T13:04:41Z |
| format | Article |
| id | doaj.art-b83d3b594af543cbb551a08d69764a52 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:04:41Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b83d3b594af543cbb551a08d69764a522022-12-21T23:44:52ZengIEEEIEEE Access2169-35362020-01-01816847016848510.1109/ACCESS.2020.30236599194705Privacy-Preserving Identifiers for IoT: A Systematic Literature ReviewMahdi Akil0https://orcid.org/0000-0002-7863-2281Lejla Islami1https://orcid.org/0000-0002-5717-8649Simone Fischer-Hubner2https://orcid.org/0000-0002-6938-4466Leonardo A. Martucci3https://orcid.org/0000-0002-9980-3473Albin Zuccato4https://orcid.org/0000-0003-4496-7611Computer Science Department, Karlstad University, Karlstad, SwedenComputer Science Department, Karlstad University, Karlstad, SwedenComputer Science Department, Karlstad University, Karlstad, SwedenComputer Science Department, Karlstad University, Karlstad, SwedenICA Gruppen AB, Solna, SwedenThe Internet of Things (IoT) paves the way for smart applications such as in E-health, E-homes, transportation, or energy production. However, IoT technologies also pose privacy challenges for their users, as they allow the tracking and monitoring of the users' behavior and context. The EU General Data Protection Regulation (GDPR) mandates data controller to follow a data protection by design and default approach by implementing for instance pseudonymity for achieving data minimisation. This paper provides a systematic literature review for answering the question of what types of privacy-preserving identifiers are proposed by the literature in IoT environments for implementing pseudonymity. It contributes with classifications and analyses of IoT environments for which privacy-preserving identifiers have been proposed and of the pseudonym types and underlying identity management architectures used. Moreover, it discusses trends and gaps in regard to addressing privacy trade-offs.https://ieeexplore.ieee.org/document/9194705/Privacyidentitypseudonymanonymous credentialthe IoTsystematic literature review |
| spellingShingle | Mahdi Akil Lejla Islami Simone Fischer-Hubner Leonardo A. Martucci Albin Zuccato Privacy-Preserving Identifiers for IoT: A Systematic Literature Review IEEE Access Privacy identity pseudonym anonymous credential the IoT systematic literature review |
| title | Privacy-Preserving Identifiers for IoT: A Systematic Literature Review |
| title_full | Privacy-Preserving Identifiers for IoT: A Systematic Literature Review |
| title_fullStr | Privacy-Preserving Identifiers for IoT: A Systematic Literature Review |
| title_full_unstemmed | Privacy-Preserving Identifiers for IoT: A Systematic Literature Review |
| title_short | Privacy-Preserving Identifiers for IoT: A Systematic Literature Review |
| title_sort | privacy preserving identifiers for iot a systematic literature review |
| topic | Privacy identity pseudonym anonymous credential the IoT systematic literature review |
| url | https://ieeexplore.ieee.org/document/9194705/ |
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