2 Search Results for "Weimerskirch, André"

Document
DOI: 10.4230/DagRep.13.6.22
Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 23242)

Authors: Frank Kargl, Ioannis Krontiris, Jason Millar, André Weimerskirch, and Kevin Gomez

Published in: Dagstuhl Reports, Volume 13, Issue 6 (2024)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 23242 "Privacy Protection of Automated and Self-Driving Vehicles". While privacy for connected vehicles has been considered for many years, automated and autonomous vehicles (AV) technology is still in its infancy and the privacy and data protection aspects for AVs are not well addressed. Their capabilities pose new challenges to privacy protection, given the large sensor arrays that collect data in public spaces and the integration of AI technology. During the seminar, several keynote presentations highlighted the research challenges from different perspectives, i.e. legal, ethical, and technological. It was also discussed extensively why vehicles need to make dynamic assessments of trust as an enabling factor for the secure communication and data sharing with other vehicles, but without increasing any privacy risks. Then, the main objective of the seminar was to produce a research road-map to address the major road-blockers in making progress on the way to deployment of privacy protection in automated and autonomous vehicles. First, the group identified six common scenarios of Cooperative, Connected and Automated Mobility (CCAM) during development and product life-cycle, and analyzed the privacy implications for each scenario. Second, it formulated the need to have a methodology to determine the cost-benefit trade-offs between privacy and other criteria like financial, usability, or safety. Third, it identified existing tools, frameworks, and PETs, and potential modifications that are needed to support the automotive industry and automotive scenarios. Finally, the group explored the interplay between privacy and trust, by elaborating on different trust properties based on performance, on ethical aspects, and on user acceptance.
Cite as

Frank Kargl, Ioannis Krontiris, Jason Millar, André Weimerskirch, and Kevin Gomez. Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 23242). In Dagstuhl Reports, Volume 13, Issue 6, pp. 22-54, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

Copy BibTex To Clipboard

@Article{kargl_et_al:DagRep.13.6.22,
  author =	{Kargl, Frank and Krontiris, Ioannis and Millar, Jason and Weimerskirch, Andr\'{e} and Gomez, Kevin},
  title =	{{Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 23242)}},
  pages =	{22--54},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{6},
  editor =	{Kargl, Frank and Krontiris, Ioannis and Millar, Jason and Weimerskirch, Andr\'{e} and Gomez, Kevin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.13.6.22},
  URN =		{urn:nbn:de:0030-drops-196375},
  doi =		{10.4230/DagRep.13.6.22},
  annote =	{Keywords: Automotive Security and Privacy, Privacy and Data Protection, Cooperative Connected and Automated Mobility}
}
Document
DOI: 10.4230/DagRep.12.1.83
Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 22042)

Authors: Frank Kargl, Ioannis Krontiris, André Weimerskirch, Ian Williams, and Nataša Trkulja

Published in: Dagstuhl Reports, Volume 12, Issue 1 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22042 "Privacy Protection of Automated and Self-Driving Vehicles". The Seminar reviewed existing privacy-enhancing technologies, standards, tools, and frameworks for protecting personal information in the context of automated and self-driving vehicles (AVs). We specifically focused on where such existing techniques clash with requirements of an AV and its data processing and identified the major road blockers on the way to deployment of privacy protection in AVs from a legal, technical, business and ethical perspective. Therefore, the seminar took an interdisciplinary approach involving autonomous and connected driving, privacy protection, and legal data protection experts. This report summarizes the discussions and findings during the seminar, includes the abstracts of talks, and includes a report from the working groups.
Cite as

Frank Kargl, Ioannis Krontiris, André Weimerskirch, Ian Williams, and Nataša Trkulja. Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 22042). In Dagstuhl Reports, Volume 12, Issue 1, pp. 83-100, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@Article{kargl_et_al:DagRep.12.1.83,
  author =	{Kargl, Frank and Krontiris, Ioannis and Weimerskirch, Andr\'{e} and Williams, Ian and Trkulja, Nata\v{s}a},
  title =	{{Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 22042)}},
  pages =	{83--100},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{1},
  editor =	{Kargl, Frank and Krontiris, Ioannis and Weimerskirch, Andr\'{e} and Williams, Ian and Trkulja, Nata\v{s}a},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.1.83},
  URN =		{urn:nbn:de:0030-drops-169220},
  doi =		{10.4230/DagRep.12.1.83},
  annote =	{Keywords: automotive security and privacy, privacy and data protection}
}
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