TY - GEN
T1 - Secure adaptive traffic lights system for VANETs
AU - Biradar, Kishore
AU - Pai, Radhika M.
AU - Manohara Pai, M. M.
AU - Mouzana, Joseph
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84927599312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927599312&partnerID=8YFLogxK
U2 - 10.1007/978-81-322-1665-0_88
DO - 10.1007/978-81-322-1665-0_88
M3 - Conference contribution
AN - SCOPUS:84927599312
VL - 243
T3 - Advances in Intelligent Systems and Computing
SP - 873
EP - 883
BT - Intelligent Computing, Networking, and Informatics - Proceedings of the International Conference on Advanced Computing, Networking, and Informatics
PB - Springer Verlag
T2 - International Conference on Advanced Computing, Networking and Informatics, ICACNI 2013
Y2 - 12 June 2013 through 14 June 2013
ER -