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Making the Case for Safety of Machine Learning in Highly Automated Driving Read chapter Read first chapter

2017 | Supplement | Chapter

Security and Privacy in the Automotive Domain: A Technical and Social Analysis

Authors : Zhendong Ma, Walter Seböck, Bettina Pospisil, Christoph Schmittner, Thomas Gruber

Published in: Computer Safety, Reliability, and Security

Publisher: Springer International Publishing

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Abstract

The automotive domain is undergoing a tremendous transformation in the speed and depth of technological development in recent years. Most of the innovations are based on electronics and ICT. As it is the case for most ICT-based systems, there are increasing concerns about security and privacy in the automotive domain. In this paper, we present a technical and social analysis of this issue using a methodological scenario building approach. We believe that current and future solutions must take both technical and social aspect into consideration. Our analysis provides stakeholders with such a view.

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previous chapter Fast Estimation of Privacy Risk in Human Mobility Data
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Footnotes
Literature
1.
Schoitsch, E., Schmittner, C., Ma, Z., Gruber, T.: The need for safety and cyber-security co-engineering and standardization for highly automated automotive vehicles. In: Schulze, T., Müller, B., Meyer, G. (eds.) Advanced Microsystems for Automotive Applications 2015. LNM, pp. 251–261. Springer, Cham (2016). doi:10.​1007/​978-3-319-20855-8_​20
2.
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3.
Schmittner, C., Ma, Z., Reyes, C., Dillinger, O., Puschner, P.: Using SAE J3061 for automotive security requirement engineering. In: Skavhaug, A., Guiochet, J., Schoitsch, E., Bitsch, F. (eds.) SAFECOMP 2016. LNCS, vol. 9923, pp. 157–170. Springer, Cham (2016). doi:10.​1007/​978-3-319-45480-1_​13 CrossRef
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Wiedersheim, B., Ma, Z., Kargl, F., Papadimitratos, P.: Privacy in inter-vehicular networks: why simple pseudonym change is not enough. In: 2010 Seventh International Conference on Wireless On-demand Network Systems and Services (WONS), pp. 176–183. IEEE (2010)
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Silberg, G., Wallace, R., Matuszak, G., Plessers, J., Brower, C., Subramanian, D.: Self-driving cars: the next revolution. White Paper KPMG LLP Cent. Automot. Res. (2012)
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Johnson, B.: Barclays Research Insights on Disruptive Mobility – A scenario for 2040. Barclays Research Department (2015)
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Slaby, M. Urban, D.: Differentielle Technikakzeptanz, oder: Nicht immer führt die Ablehnung einer Technik auch zur Ablehnung ihrer Anwendungen: eine nutzentheoretische und modell-statistische Analyse. University Stuttgart (Ed.), Stuttgart (2001)
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Metadata
Title
Security and Privacy in the Automotive Domain: A Technical and Social Analysis
Authors
Zhendong Ma
Walter Seböck
Bettina Pospisil
Christoph Schmittner
Thomas Gruber
Copyright Year
2017
Book
Computer Safety, Reliability, and Security

Print ISBN: 978-3-319-66283-1

Electronic ISBN: 978-3-319-66284-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66284-8_36

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