Artikel in Tagungsband INPROC-2022-07

Bibliograph.
Daten
Li, Yunxuan; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: Ensuring Situation-Aware Privacy for Connected Vehicles.
In: Niforatos, Evangelos (Hrsg); Kortuem, Gerd (Hrsg); Meratnia, Nirvana (Hrsg); Siegel, Josh (Hrsg); Michahelles, Florian (Hrsg): Proceedings of the 12th International Conference on the Internet of Things (IoT); Delft, Netherlands, November 7 - 10, 2022.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 135-138, englisch.
New York, NY, USA: ACM, November 2022.
ISBN: 978-1-4503-9665-3; DOI: 10.1145/3567445.3569163.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.K.4.1 (Computers and Society Public Policy Issues)
K.6.5 (Security and Protection)
KeywordsConnected Vehicle; Situation-Awareness; Privacy-Preserving
Kurzfassung

As technology advances in new sensors and software, modern vehicles become increasingly intelligent. To date, connected vehicles can collect, process, and share data with other entities in connected vehicle environments. However, in terms of data collection and exchange, privacy becomes a central issue. It is challenging to preserve privacy in connected vehicle environments when the privacy demands of drivers could change from situation to situation even for the same service. In this paper, we analyze the requirements for a privacy-preserving system in connected vehicle environments with a focus on situation-awareness and safety aspects. Based on the analysis, we propose a novel situation-aware privacy-preserving framework for connected vehicles. Our framework supports individual privacy protections for specific end-point services and situation-aware privacy protections for different circumstances.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Eingabedatum13. Februar 2023
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