Skip to main content
SpringerLink
Log in

Privacy Issues for Transportation Cyber Physical Systems

  • Chapter
  • First Online:
Secure and Trustworthy Transportation Cyber-Physical Systems

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

Transportation Cyber-Physical Systems (TCPS) developed a lot with the advancement of the transportation industry worldwide. The rapid proliferation of TCPS provides rich data and infinite possibilities for us to analyze and understand the complex inherent mechanism that governs the novel intelligence world. Also, TCPS open a range of new application scenarios, such as vehicular safety, energy efficiency, reduced pollution, and intelligent maintenance services. However, while enjoying the services and convenience provided by TCPS, users, vehicles, and even the systems might lose privacy during information transmission and processing. This chapter summarizes the state-of-art research findings on TCPS in a broad sense. First, we introduce the typical TCPS model and their basic mechanism of data communication. Secondly, considering the privacy issues of TCPS, we give a bird’s-eye view of the up-to-date literature on the problems and privacy protection approaches. Thirdly, we point out the most recently emerging challenges and the potential resolutions for privacy issues in TCPS.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. http://cyberphysicalsystems.org/.

  2. http://www.ibm.com/smarterplanet/us/en/.

  3. https://ec.europa.eu/programmes/horizon2020/en/h2020section/smart-cyber-physical-systems.

  4. Hubaux, J.-P., Capkun, S., & Luo, J. (2004). The security and privacy of smart vehicles. IEEE Security & Privacy Magazine 2 (LCA-ARTICLE-2004-007), 49–55.

    Google Scholar 

  5. Wu, Q., Domingo-Ferrer, J., & Gonzalez-Nicolas, U. (2010). Balanced trustworthiness, safety, and privacy in vehicle-to-vehicle communications. IEEE Transactions on Vehicular Technology, 59(2), 559–573. doi:10.1109/TVT.2009.2034669.

    Article  Google Scholar 

  6. Xiong, G., Zhu, F., Liu, X., Dong, X., Huang, W., & Chen, S., et al. (2015). Cyber-physical-social system in intelligent transportation. IEEE/CAA Journal of Automatica Sinica, 2(3), 320–333. doi:10.1109/JAS.2015.7152667.

  7. Rajkumar, R. R., Lee, I., Sha, L., & Stankovic, J. (2010). Cyber-physical systems: The next computing revolution (2010).

    Google Scholar 

  8. Kalloniatis, C., & Evangelia, K. (2008). Addressing privacy requirements in system design: the pris method. Requirements Engineering, 13(3), 241–255. doi:10.1007/s00766-008-0067-3.

  9. Amin, S., Schwartz, G. A., & Hussain, A. (2013). In quest of benchmarking security risks to cyber-physical systems. IEEE Network, 27(1), 19–24. doi:10.1109/MNET.2013.6423187.

    Article  Google Scholar 

  10. Amin, S., Schwartz, G. A., & Sastry, S. S. (2013). Security of interdependent and identical networked control systems. Automatica 49(1), 186–192. doi:10.1016/j.automatica.2012.09.007.

  11. Burmester, M., Magkos, E., & Chrissikopoulos, V. (2012). Modeling security in cyber physical systems. International Journal of Critical Infrastructure Protection 5(3), 118–126. doi:10.1016/j.ijcip.2012.08.002.

  12. Work, D., Bayen, A., & Jacobson, Q. (2008). Automotive cyber physical systems in the context of human mobility (2008).

    Google Scholar 

  13. Work, D., & Bayen, A. (2008). Impacts of the mobile internet on transportation cyberphysical systems: Traffic monitoring using smartphones.

    Google Scholar 

  14. Balaji, B., Al Faruque, M. A., Dutt, N., Gupta, R., & Agarwal, Y. (2015). Models, abstractions, and architectures: The missing links in cyber-physical systems.

    Google Scholar 

  15. Wang, D., Wang, Z., Shen, B., Alsaadi, F. E., & Hayat, T. (2016). Recent advances on filtering and control for cyber-physical systems under security and resource constraints. Journal of the Franklin Institute 353(11), 2451–2466. doi:10.1016/j.jfranklin.2016.04.011.

  16. Zhou, Y., Chen, S., Zhou, Y., Chen, M., & Xiao, Q. (2015). Privacy-preserving multi-point traffic volume measurement through vehicle-to-infrastructure communications. IEEE Transactions on Vehicular Technology, 64(12), 5619–5630. doi:10.1109/TVT.2015.2487985.

    Article  Google Scholar 

  17. Ashritha, M., & Sridhar, C. S. (Jan 2015). Rsu based efficient vehicle authentication mechanism for vanets.

    Google Scholar 

  18. Liu, Y., & Jie, L. (2016). Scalable privacy-enhanced traffic monitoring in vehicular ad hoc networks. Soft Computing, 20(8), 3335–3346. doi:10.1007/s00500-015-1737-y.

    Article  MathSciNet  Google Scholar 

  19. Zhou, J., Dong, X., Cao, Z., & Vasilakos, A. V. (2015). Secure and privacy preserving protocol for cloud-based vehicular dtns. IEEE Transactions on Information Forensics and Security, 10(6), 1299–1314. doi:10.1109/TIFS.2015.2407326.

    Article  Google Scholar 

  20. Zhang, L., Wu, Q., Domingo-Ferrer, J., Qin, B., & Hu, C. (2016). Distributed aggregate privacy-preserving authentication in vanets. IEEE Transactions on Intelligent Transportation Systems (99), 1–11. doi:10.1109/TITS.2016.2579162.

  21. Raya, M., & Hubaux, J.P. (2005). The security of vehicular ad hoc networks. In Proceedings of the 3rd ACM Workshop on Security of ad HOC and Sensor Networks (pp. 11–21).

    Google Scholar 

  22. Raya, M., & Hubaux, J. P. (2007). Securing vehicular ad hoc networks. Journal of Computer Security, 15(1), 39–68.

    Article  Google Scholar 

  23. Raya, M., Papadimitratos, P., Aad, I., Jungels, D., & Hubaux, J.-P. (2007). Eviction of misbehaving and faulty nodes in vehicular networks. IEEE Journal on Selected Areas in Communications, 25(8), 1557–1568.

    Article  Google Scholar 

  24. Sampigethaya, K., Huang, L., Li, M., Poovendran, R., Matsuura, K., & Sezaki, K. (2005). CARAVAN: Providing location privacy for VANET. ESCAR: Proc.

    Google Scholar 

  25. Guo, J., Baugh, J. P., & Wang, S. (2007). A group signature based secure and privacy-preserving vehicular communication framework. In Proceedings of the Mobile Network Vehicle Environment (pp. 103–108).

    Google Scholar 

  26. Lin, X., Sun, X., Ho, P. H., & Shen, X. (2007). GSIS: a secure and privacy-preserving protocol for vehicular communications. IEEE Transactions on Vehicular Technology, 56(6), 3442–3456.

    Article  Google Scholar 

  27. Zhang, L., Wu, Q., Solanas, A., & Domingo-Ferrer, J. (2010). A scalable robust authentication protocol for secure vehicular communications. IEEE Transactions on Vehicular Technology, 59(4), 1606–1617.

    Article  Google Scholar 

  28. Li, J., Lu, H., & Guizani, M. (2015). ACPN: a novel authentication framework with conditional privacy-preservation and non-repudiation for VANETs. IEEE Transactions on Parallel and Distributed Systems, 26(4), 938–948.

    Article  Google Scholar 

  29. Zhang, L., Hu, C., Wu, Q., Domingo-Ferrer, J., & Qin, B. Privacy-preserving vehicular communication authentication with hierarchical aggregation and fast response. In IEEE Transactions on Computers, to be published. doi:10.1109/TC.2015.2485225.

  30. Zhang, C., Lu, R., Lin, X., Ho, P. H., & Shen, X. (2008). An efficient identity-based batch verification scheme for vehicular sensor networks, In The 27th Conference on Computer Communications INFOCOM 2008.

    Google Scholar 

  31. Kiltz, E., & Pietrzak, K. (2010). Leakage resilient elgamal encryption, In International Conference on the Theory and Application of Cryptology and Information Security (pp. 595–612).

    Google Scholar 

  32. Eiland, E., & Liebrock, L.: An application of information theory to intrusion detection. In Proceedings of the IWIA (pp. 119–134).

    Google Scholar 

  33. Feinstein, L., Schnackenberg, D., Balupari, R., & Kindred, D. (2003). Statistical approaches to DDoS attack detection and response. In Proceedings DARPA Information Survivability Conference & Exposition (pp. 303–314).

    Google Scholar 

  34. Golle, P., Greene, D., & Staddon, J. (2004). Detecting and correcting malicious data in VANETs. In Proceedings of the 1st ACM International Workshop on Vehicular Ad HOC Networks (pp. 29–37).

    Google Scholar 

  35. He, Z., Cai, Z., Cheng, S., & Wang, X. Approximate Aggregation for Tracking Quantiles in Wireless Sensor Networks. The 8th Annual International Conference on Combinatorial Optimization and Applications (COCOA2014).

    Google Scholar 

  36. Cheng, S., Cai, Z., Li, J., & Fang, X. (2015). Drawing dominant dataset from big sensory data in wireless sensor networks. In The 34th Annual IEEE International Conference on Computer Communications (INFOCOM 2015).

    Google Scholar 

  37. Han, M., Li, J., Cai, Z., & Han, Q. (2016). Privacy reserved influence maximization in GPS-enabled cyber-physical and online social networks ieee international conference on social computing and networking. In IEEE SocialCom 2016, Atlanta, GA, USA, October 8–10 (pp. 284–292).

    Google Scholar 

  38. Han, M., Han, Q., Li, L., Li, J., & Li, Y. (Accepted). Maximizing influence in sensed heterogenous social network with privacy preservation. International Journal of Sensor Networks (IJSNet).

    Google Scholar 

  39. Sampigethaya, K., Huang, L., Li, M., Poovendran, R., Matsuura, K., & Sezaki, K. (2005). Caravan: Providing location privacy for vanet. Technical report, DTIC Document.

    Google Scholar 

  40. Wang, F. Y. (2010). The emergence of intelligent enterprise: from CPS to CPSS. IEEE Intelligent Systems, 25(4), 85–88.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, Kennesaw State University, Marietta, Georgia

    Meng Han

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia

    Zhuojun Duan & Yingshu Li

Authors
  1. Meng Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhuojun Duan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yingshu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yingshu Li .

Editor information

Editors and Affiliations

  1. Beijing Normal University, China , Beijing, China

    Yunchuan Sun

  2. Embry-Riddle Aeronautical University, Daytona Beach, West Virginia, USA

    Houbing Song

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Author(s)

About this chapter

Cite this chapter

Han, M., Duan, Z., Li, Y. (2017). Privacy Issues for Transportation Cyber Physical Systems. In: Sun, Y., Song, H. (eds) Secure and Trustworthy Transportation Cyber-Physical Systems. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-3892-1_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-3892-1_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3891-4

  • Online ISBN: 978-981-10-3892-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation