Exploring privacy-enhancing technologies in the automotive value chain
Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regulatory requirements. However, applying PETs in organizations requires a precise understanding of use cases, technologies,...
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| Veröffentlicht in: | arXiv.org 2022-09 |
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| creator | Gonzalo Munilla Garrido Schmidt, Kaja Harth-Kitzerow, Christopher Klepsch, Johannes Luckow, Andre Matthes, Florian |
| description | Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regulatory requirements. However, applying PETs in organizations requires a precise understanding of use cases, technologies, and limitations. This paper investigates several industrial use cases, their characteristics, and the potential applicability of PETs to these. We conduct expert interviews to identify and classify uses cases, a gray literature review of relevant open-source PET tools, and discuss how the use case characteristics can be addressed using PETs' capabilities. While we focus mainly on automotive use cases, the results also apply to other use case domains. |
| doi_str_mv | 10.48550/arxiv.2209.05085 |
| format | Article |
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| language | eng |
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| source | arXiv.org; Open Access Journals |
| subjects | Computer Science - Cryptography and Security Industrial applications Literature reviews Privacy |
| title | Exploring privacy-enhancing technologies in the automotive value chain |
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