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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 Doss
The 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 - 64

Publisher

Springer

Location

Melbourne, Victoria

Place of publication

Cham, Switzerland

Start date

2019-11-27

End date

2019-11-29

ISBN-13

9783030343538

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

R Ram Mohan Doss, S Piramuthu, W Zhou

Title of proceedings

FNSS 2019 : Proceedings of the 5th International Conference of Future Network Systems and Security

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