Advertisement

Privacy and Security in Autonomous Vehicles

  • Patrick Pype
  • Gerardo Daalderop
  • Eva Schulz-Kamm
  • Eckhard Walters
  • Maximilian von Grafenstein
Chapter

Abstract

The goal of this chapter is to give a high-level overview about the importance of privacy and security provisions in autonomous vehicles. It describes where we currently are, where the challenges with security and privacy may be in the context of autonomous vehicles, and what should be done to deal with those challenges. Thereby, it is also important to take the user into account, as he/she has to trust the autonomous vehicle and the company behind it; otherwise autonomous vehicles will not get accepted. Trust here is related to security, privacy but also safety

Keywords

privacy, security, autonomous vehicles 

Copyright information

© Springer International Publishing Switzerland 2017

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  • Patrick Pype
    • 1
  • Gerardo Daalderop
    • 1
  • Eva Schulz-Kamm
    • 1
  • Eckhard Walters
    • 1
  • Maximilian von Grafenstein
    • 2
  1. 1.NXP SemiconductorsLeuvenBelgium
  2. 2.Alexander von Humboldt Institute für Internet und GesellschaftBerlinGermany

Personalised recommendations