A primer on security and privacy in vehicular ad-hoc networks


Course Description

The purpose of the short course is to introduce the concepts of autonomous vehicles and platooning and associated designs and analysis with emphasis on safety. In addition connectivity will enable the infrastructure to control traffic flow in a much more efficient way. Vehicle automation has been viewed as a solution that will lead to dramatic improvements in safety, road capacity and driver comfort. An autonomous vehicle with its multiple sensors and computer control system will be able to interact with the environment and other vehicles more accurately and react faster than humans to different driving situations including emergencies. At the same time autonomous vehicles will be designed to operate in a much safer way than human drivers and therefore will be much more conservative in changing lanes, merging and in vehicle maneuvers. While this may have an adverse effect on traffic flow the connectivity that comes with autonomous vehicles offers an opportunity for the infrastructure to come up with better traffic flow control methods.


Course Format

  • MOOC style –online course including videos, slides and supporting materials.
  • Self-paced –no synchronous activities in this course

Teaching Concepts

  • Vehicular ad-hoc networks (VANETs)
  • VANET security
    • Message and Entity authentication
    • Confidentiality
    • Non-repudiation
    • Data integrity
    • Availability
  • VANET privacy

Teaching Methods

  • Each topic is introduced in a video, and supported by slides and a set of research papers on the matter
  • To ensure the competence acquisition, each topic is assessed by a quiz to be taken individually

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