Skip to main content

US\(^2\): An Unified Safety and Security Analysis Method for Autonomous Vehicles

  • Conference paper
  • First Online:
Advances in Information and Communication Networks (FICC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 886))

Included in the following conference series:

Abstract

Autonomous Vehicles (AVs) are security-critical systems, and safety is primary goal for AVs. The high degree of integration between safety and security introduces new problem: how to systematically analyse safety and security? In this paper, we propose an Unified Safety and Security analysis method (US\(^2\)), which uses a simple quantification scheme to assess safety hazards and security threats simultaneously. US\(^2\) is a useful tool for safety and security requirements specification and selection of countermeasures. Example of US\(^2\) application is included to highlight the strengths of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://msdn.microsoft.com/en-us/library/ee823878(v=cs.20).aspx.

References

  1. Society of Automotive Engineers (SAE): SAE-J3016: Taxonomy and Definitions for terms Related to Driving Automation Systems for On-Road Motor Vehicles, September 2016

    Google Scholar 

  2. The Associated Press: Worlds 1st self-driving taxi debut in Singapore. https://www.bloomberg.com/news/articles/2016-08-25/world-s-first-self-driving-taxis-debut-in-singapore. Accessed 12 October 2017

  3. Cui, J., Sabaliauskaite, G.: On the alignment of safety and security for autonomous vehicles. In: IARIA CYBER, Barcelona, Spain, November 2017

    Google Scholar 

  4. International Organization for Standardization (ISO): ISO-26262: Road Vehicles - Functional safety, December 2016

    Google Scholar 

  5. Macher, G., Sporer, H., Berlach, R., Armengaud, E., Kreiner, C.: Sahara: a security-aware hazard and risk analysis method. In: IEEE DATE, Grenoble, France (2015)

    Google Scholar 

  6. Corporation, M.: The stride threat model (2005)

    Google Scholar 

  7. Society of Automotive Engineers (SAE): SAE-J3061: Cybersecurity Guidebook for Cyber-Physical Vehicle Systems, January 2016

    Google Scholar 

  8. Ward, D., Ibarra, I., Ruddle, A.: Threat analysis and risk assessment in automotive cyber security. SAE Int. J. Passeng. Cars Electron. Electr. Syst. 6(01–1415), 507–513 (2013)

    Article  Google Scholar 

  9. EVITA - E-safety vehicle intrusion protected applications, “Evita project,”. https://www.evita-project.org/deliverables.html. Accessed 12 Oct 2017

  10. Islam, M., et al.: Deliverable D2 Security models. HEAVENS Project, Deliverable D2, Release 1 December 2014

    Google Scholar 

  11. Macher, G., Armengaud, E., Brenner, E., Kreiner, C.: A review of threat analysis and risk assessment methods in the automotive context. Springer International Publishing, Trondheim (2016)

    Google Scholar 

  12. NHTSA: Federal automated vehicles policy, September 2016

    Google Scholar 

  13. Paul, A., Chauhan, R., Srivastava, R., Baruah, M.: Advanced driver assistance systems. Technical report. SAE Technical Paper (2016)

    Google Scholar 

  14. Becker, J., Helmle, M., Pink, O.: System architecture and safety requirements for automated driving. In: Automated Driving, pp. 265–283. Springer (2017)

    Google Scholar 

  15. Studnia, I., Nicomette, V., Alata, E., Deswarte, Y., Kaâniche, M., Laarouchi, Y.: Survey on security threats and protection mechanisms in embedded automotive networks. In: IEEE DSN-W, Budapest, Hungary (2013)

    Google Scholar 

  16. Petit, J., Shladover, S.E.: Potential cyberattacks on automated vehicles. IEEE Trans. Intell. Transp. Syst. 16(2), 546–556 (2015)

    Google Scholar 

  17. Yan, W.: A two-year survey on security challenges in automotive threat landscape. In: IEEE ICCVE, ShenZhen, China (2015)

    Google Scholar 

  18. Thing, V.L., Wu, J.: Autonomous vehicle security: a taxonomy of attacks and defences. In: IEEE CPSCom, ChengDu, China (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Cui .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cui, J., Sabaliauskaite, G. (2019). US\(^2\): An Unified Safety and Security Analysis Method for Autonomous Vehicles. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886. Springer, Cham. https://doi.org/10.1007/978-3-030-03402-3_42

Download citation

Publish with us

Policies and ethics