Abstract
We acquire or provide most of the services with the help of the Internet in the fast-growing world. We should deploy various kinds of systems globally so that other users can practice the same effortlessly, and use storage framework to provide conveniences world-wide effectively. Nowadays, we practice vehicular communication technology to exchange diversified data for varied intentions, which helps vehicle operators in diversified manners such as traffic awareness, weather conditions, road assistance, automatic toll payment system, etc. In this chapter, we converse about data transmission through vehicular ad-hoc networks, cloud computing in the vehicular technology. After that, we survey of different schemes related to secure routing and geo-location details of vehicles. We illustrate concerning security demands, possible attacks, and challenges in the vehicular cloud computing (VCC) architecture. Conclusively, we suggest a new identification scheme to get access of the VCC system from the user end, which can be secured against varied attacks. Moreover, we do analysis of the suggested system to determine security worthiness and measure total required time to execute the phases.
The original version of this chapter was revised: Missed out author corrections have been incorporated. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-73676-1_18
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
S. Olariu, I. Khalil, M. Abuelela, Taking VANET to the clouds. Int. J. Pervasive Comput. Commun. 7(1), 7–21 (2011)
M. Eltoweissy, S. Olariu, M. Younis, Towards autonomous vehicular clouds, in International Conference on Ad Hoc Networks (Springer, Berlin, Heidelberg, 2010), pp. 1–16
S. Biswas, R. Tatchikou, F. Dion, Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety. IEEE Commun. Mag. 44(1), 74–82 (2006)
I. Takai, T. Harada, M. Andoh, K. Yasutomi, K. Kagawa, S. Kawahito, Optical vehicle-to-vehicle communication system using LED transmitter and camera receiver. IEEE Photonics J. 6(5), 1–14 (2014)
C. Perkins, E. Belding-Royer, S. Das, Ad hoc on-demand distance vector (AODV) routing (No. RFC 3561) (2003)
V. Namboodiri, M. Agarwal, L. Gao, A study on the feasibility of mobile gateways for vehicular ad-hoc networks, in Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (2004), pp. 66–75
V. Naumov, R. Baumann, T. Gross, An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces, in Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing (2006), pp. 108–119
S.K. Dhurandher, S. Misra, M.S. Obaidat, M. Gupta, K. Diwakar, P. Gupta, Efficient angular routing protocol for inter-vehicular communication in vehicular ad hoc networks. IET Commun. 4(7), 826–836 (2010)
C. Wu, S. Ohzahata, T. Kato, Flexible, portable, and practicable solution for routing in VANETs: a fuzzy constraint Q-learning approach. IEEE Trans. Veh. Technol. 62(9), 4251–4263 (2013)
R. Chen, F. Bao, M. Chang, J.H. Cho, Dynamic trust management for delay tolerant networks and its application to secure routing. IEEE Trans. Parallel Distrib. Syst. 25(5), 1200–1210 (2014)
S.K. Bhoi, P.M. Khilar, SIR: a secure and intelligent routing protocol for vehicular ad hoc network. IET Netw. 4(3), 185–194 (2014)
S. Capkun, J.P. Hubaux, Secure positioning in wireless networks. IEEE J. Sel. Areas Commun. 24(2), 221–232 (2006)
X. Lin, X. Sun, P.H. Ho, X. Shen, GSIS: a secure and privacy-preserving protocol for vehicular communications. IEEE Trans. Veh. Technol. 56(6), 3442–3456 (2007)
C. Zhang, R. Lu, X. Lin, P.H. Ho, X. Shen, An efficient identity-based batch verification scheme for vehicular sensor networks, in The 27th Conference on Computer Communications, INFOCOM 2008 (IEEE, 2008), pp. 246–250
Gongjun Yan, Stephan Olariu, Michele C. Weigle, Providing location security in vehicular Ad Hoc networks. IEEE Wirel. Commun. 16(6), 48–53 (2009)
J. Sun, C. Zhang, Y. Zhang, Y. Fang, An identity-based security system for user privacy in vehicular ad hoc networks. IEEE Trans. Parallel Distrib. Syst. 21(9), 1227–1239 (2010)
D. Wu, Y. Zhang, L. Bao, A.C. Regan, Location-based crowdsourcing for vehicular communication in hybrid networks. IEEE Trans. Intell. Transp. Syst. 14(2), 837–846 (2013)
J. Kang, R. Yu, X. Huang, M. Jonsson, H. Bogucka, S. Gjessing, Y. Zhang, Location privacy attacks and defenses in cloud-enabled internet of vehicles. IEEE Wirel. Commun. 23(5), 52–59 (2016)
N. Santos, K.P. Gummadi, R. Rodrigues, Towards trusted cloud computing. HotCloud 9(9), 3 (2009)
M. Jensen, J. Schwenk, N. Gruschka, L.L. Iacono, On technical security issues in cloud computing, in IEEE International Conference on Cloud Computing, 2009. CLOUD’09 (2009), pp. 109–116
C. Wang, Q. Wang, K. Ren, W. Lou, Privacy-preserving public auditing for data storage security in cloud computing, in Proceedings of the IEEE INFOCOM (2010), pp. 1–9
C. Wang, S.S. Chow, Q. Wang, K. Ren, W. Lou, Privacy-preserving public auditing for secure cloud storage. IEEE Trans. Comput. 62(2), 362–375 (2013)
J. Zhou, X. Dong, Z. Cao, A.V. Vasilakos, Secure and privacy preserving protocol for cloud-based vehicular DTNs. IEEE Trans. Inf. Forensics Secur. 10(6), 1299–1314 (2015)
R. Madhusudhan, R.C. Mittal, Dynamic ID-based remote user password authentication schemes using smart cards: a review. J. Netw. Comput. Appl. 35(4), 1235–1248 (2012)
T. Limbasiya, N. Doshi, An analytical study of biometric based remote user authentication schemes using smart cards. Comput. Electr. Eng. 59, 305–321 (2017)
Acknowledgements
We are grateful to the anonymous reviewers for their noteworthy time and effort in suggesting their exceptional views on the chapter in the review process. In addition, we are thankful to editors for the handling of this book. This work is partially supported by Early Career Research Award from Science and Engineering Research Board (SERB), Department of Science and Technology(DST), Govt. of India, New Delhi, India (Project Number: ECR/2015/000256).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Limbasiya, T., Das, D. (2018). Secure Smart Vehicle Cloud Computing System for Smart Cities. In: Mishra, B., Das, H., Dehuri, S., Jagadev, A. (eds) Cloud Computing for Optimization: Foundations, Applications, and Challenges. Studies in Big Data, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-73676-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-73676-1_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73675-4
Online ISBN: 978-3-319-73676-1
eBook Packages: EngineeringEngineering (R0)