[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

Obfuscation-based location privacy-preserving scheme in cloud-enabled internet of vehicles

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

The Cloud-Enabled Internet of Vehicles (CE-IoV) is a new paradigm that combines cloud computing, vehicular networks and the internet of things (IoT). It provides safety and infotainment applications for road users. It relies on the exchange of real-time messages known as beacons to achieve connectivity and ensure safety. The beacons contain the position, the identifier and the velocity of the vehicle. This data can be eavesdropped by a malicious attacker to construct a full trajectory of a target vehicle and track its user. The tracking violates the on-road users’ location privacy. It is the cyber-equivalent of stalking. Its consequences may be directly related to the user’s safety. Therefore, the privacy issue in CE-IoV is crucial and preserving it is a priority. In this paper, we propose a location privacy preserving solution for CE-IoV users. The solution relies on cooperativeness, obfuscation, and silence to reduce linkability and tracking. We proved its feasibility using a game theoretic approach. We further analysed the with simulations the proposed scheme performance and resiliency to Global Passive Attacker (GPA). The modelled GPA executes four eavesdropping and linking attacks to track the vehicles which are: semantic, syntactic, observation and mapping linking attacks. The simulation results prove that the solution is robust and resilient to the mentioned attacks with an average privacy level of 90%. We further analyse its robustness using an analytical model.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Pandey V, Saini P (2019) Application layer scheduling in cloud: Fundamentals, review and research directions. Comput Syst Sci Eng 34(6):357–376

    Google Scholar 

  2. Liu C, Li K, Li K (2018) Minimal cost server configuration for meeting time-varying resource demands in cloud centers. IEEE Trans Parallel Distrib Syst 29(11):2503–2513

    Article  Google Scholar 

  3. Liu C, Li K, Li K, Buyya R. A new cloud service mechanism for profit optimizations of a cloud provider and its users. IEEE Transactions on Cloud Computing. 2017 Jun 7

  4. Li K, Mei J, Li K (2016) A fund-constrained investment scheme for profit maximization in cloud computing. IEEE Trans Serv Comput 11(6):893–907

    Article  Google Scholar 

  5. Mathilde Carlier, "Projected share of new Internet-connected light-duty vehicles," Statista, 31 Mar 2021. [Online]. Available: https://www.statista.com/statistics/275849/number-of-vehicles-connected-to-the-internet/. Accessed 13 June 2021

  6. Kang J, Yu R, Huang X, Jonsson M, Bogucka H, Gjessing S, Zhang Y (2016) Location privacy attacks and defenses in cloud-enabled internet of vehicles. IEEE Wirel Commun 23(5):52–59

    Article  Google Scholar 

  7. Yu R, Zhang Y, Gjessing S, Xia W, Yang K (2013) Toward cloud-based vehicular networks with efficient resource management. IEEE Network 27(5):48–55

    Article  Google Scholar 

  8. Benarous, L., Kadri B. (2017, September). Ensuring privacy and authentication for V2V resource sharing. In: Emerging Security Technologies (EST), 2017 Seventh International Conference on (pp. 1–6). IEEE

  9. Jiang W, Jiang Y, Wang Y, Chen J, Xu Y. Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing. InInternational Conference on Human Centered Computing 2018 Dec 5 (pp. 169–180). Springer, Cham

  10. Xie P, Ma G, Feng T, Yan Y, Han X (2020) Behavioral Feature and Correlative Detection of Multiple Types of Node in the Internet of Vehicles. CMC-Comput Mater Cont 64(2):1127–1137

    Google Scholar 

  11. Han W, Cheng M, Lei M, Xii H, Yang Y, Qian L (2020) Privacy Protection Algorithm for the Internet of Vehicles Based on Local Differential Privacy and Game Model. CMC-Comput Mater Contin 64(2):1025–1038

    Article  Google Scholar 

  12. BOUALOUACHE A. (2016), PhD thesis, Security and Privacy in vehicular networks, USTHB, Algiers, Algeria.

  13. Emara K. (2016), PhD Thesis, Safety-aware Location Privacy in Vehicular Ad-hoc Networks, Technical University of Munich, Munich, Germany.

  14. Freudiger J., Shokri R., Hubaux J. P. (2009, August). On the optimal placement of mix zones. In International Symposium on Privacy Enhancing Technologies Symposium (pp. 216–234). Springer, Berlin, Heidelberg.

  15. Freudiger J, Raya M, Félegyházi M, Papadimitratos P, Hubaux JP (2007) Mix-zones for location privacy in vehicular networks. In: ACM Workshop on Wireless Networking for Intelligent Transportation Systems (WiN-ITS) (No. LCA-CONF-2007–016).

  16. Guo N, Ma L, Gao T (2018) Independent mix zone for location privacy in vehicular networks. IEEE Access 6:16842–16850

    Article  Google Scholar 

  17. Memon I., Chen L., Arain Q. A., Memon H., Chen G. (2018). Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks. Int J Commun Syst, 31(1), e3437.

  18. Arain QA, Memon I, Deng Z, Memon MH, Mangi FA, Zubedi A (2018) Location monitoring approach: multiple mix-zones with location privacy protection based on traffic flow over road networks. Multimed Tools Appl 77(5):5563–5607

    Article  Google Scholar 

  19. Shokri R, Troncoso C, Diaz C, Freudiger J, Hubaux JP (2010, October) Unraveling an old cloak: k-anonymity for location privacy. In: Proceedings of the 9th annual ACM workshop on Privacy in the electronic society (pp. 115–118). ACM

  20. Sampigethaya K, Huang L, Li M, Poovendran R, Matsuura K, Sezaki K (2005) CARAVAN: Providing location privacy for VANET. Washington Univ Seattle Dept of Electrical Engineering.

  21. Buttyán L, Holczer T, Weimerskirch A, Whyte W (2009, October) Slow: A practical pseudonym changing scheme for location privacy in vanets. In 2009 IEEE vehicular networking conference (VNC). IEEE, pp. 1–8

  22. Sampigethaya K, Li M, Huang L, Poovendran R (2007) AMOEBA: Robust location privacy scheme for VANET. IEEE Journal on Selected Areas in communications 25(8): 1569–1589

  23. Pan Y, Li J (2012, May) An analysis of anonymity for cooperative pseudonym change scheme in one-dimensional VANETs. In: Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on (pp. 251–257). IEEE

  24. Wasef A, Shen XS (2010) REP: Location privacy for VANETs using random encryption periods. Mobile Net Appl 15(1):172–185

    Article  Google Scholar 

  25. Lu R, Lin X, Luan TH, Liang X, Shen X (2012) Pseudonym changing at social spots: An effective strategy for location privacy in vanets. IEEE Trans Veh Technol 61(1):86

    Article  Google Scholar 

  26. Pan Y, Li J (2013) Cooperative pseudonym change scheme based on the number of neighbors in VANETs. J Netw Comput Appl 36(6):1599–1609

    Article  MathSciNet  Google Scholar 

  27. Emara K., Woerndl W., Schlichter J. (2015, June). CAPS: Context-aware privacy scheme for VANET safety applications. In: Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks (p. 21). ACM.

  28. Alnahash N., Corser G., Fu H., Zhu Y. (2014) Protecting vehicle privacy using dummy events. In: 2014 American Society For Engineering Education North Central Section Conference (ASEE NCS 2014)

  29. Boualouache A, Moussaoui S (2017) TAPCS: Traffic-aware pseudonym changing strategy for VANETs. Peer  Netw Appl 10(4):1008–1020

    Article  Google Scholar 

  30. Xingjun S, Huibin X (2014) An effective scheme for location privacy in VANETs. J Networks 9(8):2239

    Google Scholar 

  31. Boualouache A., Senouci S. M., Moussaoui, S. (2016, December). Towards an efficient pseudonym management and changing scheme for vehicular ad-hoc networks. In: Global Communications Conference (GLOBECOM), 2016 IEEE (pp. 1–7). IEEE

  32. Pan Y., Shi Y., Li J. (2017, July). A novel and practical pseudonym change scheme in vanets. In: International conference on innovative mobile and internet services in ubiquitous computing (pp. 413–422). Springer, Cham

  33. Benarous, L. and Kadri, B., 2019. A novel privacy preserving scheme for cloud-enabled internet of vehicles users. In: Security, privacy and trust in the IoT Environment (pp. 227–254). Springer, Cham

Download references

Acknowledgements

We thank Pr. Mohsen Guizani from the University of Idaho, United States for his constructive comments and advices.

Author information

Authors and Affiliations

  1. LIM Laboratory, University of Amar Telidji, Laghouat, Algeria

    Leila Benarous

  2. STIC Laboratory, Department of Biomedical Engineer, Faculty of Technology, University of Abou Bekr Belkaid, Tlemcen, Algeria

    Benamar Kadri

Authors
  1. Leila Benarous
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Benamar Kadri
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Leila Benarous.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Benarous, L., Kadri, B. Obfuscation-based location privacy-preserving scheme in cloud-enabled internet of vehicles. Peer-to-Peer Netw. Appl. 15, 461–472 (2022). https://doi.org/10.1007/s12083-021-01233-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-021-01233-z

Keywords

Search

Navigation