Cyber Security for Connected and Autonomous Vehicles

This site maintains resources of cyber security for Connected and Autonomous Vehicles (CAVs). The main sources are based on the research findings at Nottingham Geospatial Institute and School of Computer Science, the University of Nottingham.

Structured Principles for CAV Cyber Security

The "Principles of cyber security for connected and automated vehicles" in the UK's guidance (see Resources [1]) are categorised and structured to reflect their relation schematically (see Reference [2]).

UML-based Framework for CAV Cyber Security

Based on the structured principles, a UML-based framework is established to categorise potential vulnerable attack points to CAVs.

Datasets

Resources

  1. UK's CAV Cyber Security Guidance: "Principles of cyber security for connected and automated vehicles", August 2017.
  2. UK's "New cyber security standard for self-driving vehicles", December 2018.

References

  1. Q He, X Meng, R Qu, "A Survey on Cyber Security of CAV", 2017 Forum on Cooperative Positioning and Service (CPGPS17), 19 May - 21 May 2017, Harbin, China
  2. Q He, X Meng, R Qu, R Xi, "Design A New Framework for Assessing Cyber Security Attacks of Connected and Autonomous Vehicle", under review at IET Intelligent Transport System, September 2018
  3. Papers, datasets and best results of other benchmark combinatorial optimisation problems can be found at http://www.cs.nott.ac.uk/~pszrq/benchmarks.htm.