Secure adaptive traffic lights system for VANETs

Kishore Biradar, Radhika M. Pai, M. M. Manohara Pai, Joseph Mouzana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIntelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics
PublisherSpringer Verlag
Pages873-883
Number of pages11
Volume243
ISBN (Electronic)9788132216643
DOIs
Publication statusPublished - 2014
EventInternational Conference on Advanced Computing, Networking and Informatics, ICACNI 2013 - Raipur, India
Duration: 12-06-201314-06-2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume243
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Advanced Computing, Networking and Informatics, ICACNI 2013
CountryIndia
CityRaipur
Period12-06-1314-06-13

Fingerprint

Telecommunication traffic
Traffic signals
Roadsides
Joining
Authentication
Control systems
Communication

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Biradar, K., Pai, R. M., Manohara Pai, M. M., & Mouzana, J. (2014). Secure adaptive traffic lights system for VANETs. In Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics (Vol. 243, pp. 873-883). (Advances in Intelligent Systems and Computing; Vol. 243). Springer Verlag. https://doi.org/10.1007/978-81-322-1665-0_88
Biradar, Kishore ; Pai, Radhika M. ; Manohara Pai, M. M. ; Mouzana, Joseph. / Secure adaptive traffic lights system for VANETs. Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics. Vol. 243 Springer Verlag, 2014. pp. 873-883 (Advances in Intelligent Systems and Computing).
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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.",
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Biradar, K, Pai, RM, Manohara Pai, MM & Mouzana, J 2014, Secure adaptive traffic lights system for VANETs. in Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics. vol. 243, Advances in Intelligent Systems and Computing, vol. 243, Springer Verlag, pp. 873-883, International Conference on Advanced Computing, Networking and Informatics, ICACNI 2013, Raipur, India, 12-06-13. https://doi.org/10.1007/978-81-322-1665-0_88

Secure adaptive traffic lights system for VANETs. / Biradar, Kishore; Pai, Radhika M.; Manohara Pai, M. M.; Mouzana, Joseph.

Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics. Vol. 243 Springer Verlag, 2014. p. 873-883 (Advances in Intelligent Systems and Computing; Vol. 243).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Biradar K, Pai RM, Manohara Pai MM, Mouzana J. Secure adaptive traffic lights system for VANETs. In Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics. Vol. 243. Springer Verlag. 2014. p. 873-883. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-81-322-1665-0_88