Abstract
Adaptive traffic signal control system can reduce waiting time of vehicles at intersection by dynamically changing traffic signals based on density of vehicles present on roads at intersection. One of the approaches used to find density of vehicles on roads at intersection is proposed in [1] called as CDRIVE. In this, cluster-head vehicle updates density information as vehicles join the cluster and cluster is formed based on direction of the vehicle, it takes after intersection. However, a malicious vehicle can join the cluster by providing wrong direction information. Therefore, to ensure correct density estimation, the participating vehicles in density estimation should be authenticated ones; otherwise, density estimation estimated by cluster head may not reflect correct density and hence may result in incorrect changing of signals. In this work, we propose secure adaptive traffic lights system (SATS) protocol for VANETs which is an enhancement to CDRIVE by adding security to it. By this, the malicious vehicles are prevented to join the cluster. This is achieved by using cluster symmetric key for cluster joining and cluster communication. Cluster symmetric key is obtained from roadside unit (RSU) present near intersection. It has been seen that our proposed algorithm achieves security parameters such as authentication, privacy, source non-repudiation, and density estimation estimated by cluster-head vehicle is correct. Further, it is analyzed that the computational overhead by adding security features does not affect the functioning of CDRIVE.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Maslekar, N., Boussedjra, M., Mouzna, J., Labiod, H.: C-DRIVE: clustering based on direction in vehicular environment. In: 4th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5 (2011)
Gradinescu, V., Gorgorin, C., Diaconescu, R., Cristea, V., Iftode, L.: Adaptive traffic lights using car-to-car communication. In: IEEE 65th Vehicular Technology Conference, pp. 21–25 (2007)
Raya, M., Hubaux, J.-P.: The security of vehicular ad hoc networks. In: Proceedings of SASN05 (2005)
Riley, M., Akkaya, K., Fong, K.: Delay-efficient geodynamic group-based authentication in VANETs. In: IEEE 35th Conference on Local Computer Networks (LCN), pp. 280–283 (2010)
Wagan, A.A., Mughal, B.M., Hasbullah, H.: VANET security framework for trusted grouping using TPM hardware: group formation and message dissemination. International symposium in information technology (ITSim), pp. 607–611 (2010)
Diffie, W., Hellman, M.: New directions in cryptography. IEEE Trans. Inf. Theory 22(5), 644–654 (1976)
Zhang, C., Lin, X., Lu, R., Ho, P.-H.: RAISE: an Efcient RSU-aided message authentication scheme in vehicular communication networks. In: IEEE International Conference on Communications (ICC ‘08), pp. 1451–1457 (2008)
MObility model generator for VEhicular networks (MOVE), http://lens.csie.ncku.edu.tw/Joomlaversion/index.php/research-projects/past/18-rapid-vanet
Network Simulator (NS2), http://www.isi.edu/nsnam/ns
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Biradar, K., Pai, R.M., Manohara Pai, M.M., Mouzana, J. (2014). Secure Adaptive Traffic Lights System for VANETs. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_88
Download citation
DOI: https://doi.org/10.1007/978-81-322-1665-0_88
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1664-3
Online ISBN: 978-81-322-1665-0
eBook Packages: EngineeringEngineering (R0)