Title: Adaptive security provisioning for vehicular safety applications

Authors: Elyes Ben Hamida; Muhammad Awais Javed; Wassim Znaidi

Addresses: Technological Research Institute (IRT) SystemX, 8 avenue de la vauve, 91120, Palaiseau, France ' Comsats Institute of Information Technology, Park Road, Islamabad 45550, Pakistan ' Qatar Mobility Innovations Center, Qatar Science and Technology Park, P.O. Box 210531, Doha, Qatar

Abstract: Vehicular ad hoc network provides safety applications for next generation intelligent transport systems. By periodically transmitting mobility information in basic safety messages (BSMs), vehicles get an overview of the neighbourhood. As applications involving vehicular networks impact human safety, reliability of BSMs is a key requirement, which however is a challenging task in heavy traffic scenarios where many BSMs are queued up simultaneously for signature verification. This results in long verification delays for many critical BSMs from nearby vehicles. To overcome this challenge, we propose two adaptive security mechanisms in this paper that can be used by the ITS applications to enhance their QoS and maintain good level of security. The first technique is a receiver-oriented technique that uses channel aware mechanism to prioritise the signature verification of BSMs from closer neighbours. The second technique is transmitter based that can adaptively select the best security level for BSMs according to cryptographic loss rate. Simulation results verify the performance enhancement achieved by the proposed framework in terms of several safety awareness metrics as compared with the existing schemes.

Keywords: vehicular applications; intelligent transport systems; basic safety messages; elliptic curve digital signature algorithm; adaptive security provisioning. symbolic data analysis; clustering; classification; statistical pattern recognition; image analysis; information retrieval symbolic data analysis; clustering; classification; statistical pattern recognition; image analysis; information retrieval.

DOI: 10.1504/IJSSC.2017.084120

International Journal of Space-Based and Situated Computing, 2017 Vol.7 No.1, pp.16 - 31

Received: 27 Oct 2016
Accepted: 16 Feb 2017
Published online: 12 May 2017 *

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