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An efficient dynamic group-based batch verification scheme for vehicular sensor networks
conference contribution
posted on 2019-01-01, 00:00 authored by L Jiang, Y Wang, J Tian, Frank JiangFrank Jiang, Nick Patterson, Robin Ram Mohan DossRobin Ram Mohan DossThe batch verification methods can relieve the bottleneck problem of vehicular authentication efficiency to accelerate the authentication speed during the group construction phase. However, in current batch verification methods, there exist some deficiencies such as the authentication methods applied in the actual scenario are sensitive to the group initialization and dynamic construction process and the intra-group communication efficiency have not been improved due to lack of effective dynamic group management. This paper proposes a fast and secure batch verification scheme based on dynamic group management and certificateless public-key cryptography. First, the two-way authentication between the proxy vehicle and the roadside unit (RSU) is established, and then the batch verification method relying on RSU-assisted are proposed based on dynamic management of the intra-group vehicles. Our method fully considers the security requirements of the group while solving certification efficiency. Theoretical analysis and simulation experiments show that compared with other existing solutions, the verification scheme in this paper reduces the computational delay and transmission overhead whilst increasing robustness in dynamic environments.
History
Event
Future Network Systemsand Security. International Conference (5th : 2019 : Melbourne, Victoria)Pagination
52 - 64Publisher
SpringerLocation
Melbourne, VictoriaPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-11-27End date
2019-11-29ISBN-13
9783030343538Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
R Ram Mohan Doss, S Piramuthu, W ZhouTitle of proceedings
FNSS 2019 : Proceedings of the 5th International Conference of Future Network Systems and SecurityUsage metrics
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