Adaptive security provisioning for vehicular safety applications

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 neighborhood. 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 prioritize the signature verification of BSMs from closer neighbors. 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. for efficient communications in mobile ad hoc networks, protocol design for emerging wireless technologies. Wassim Znaidi is a Senior R&D engineer at QMIC (formerly QUWIC). He holds a Ph.D (2010) from INSA Lyon France, a M.S. (2007) from University Grenoble Alpes France and a Dipl.-Ing (2006) from Polytechnic School Tunisia. His research interest include protocols design for network security, efficient algorithm for resilient embedded systems and internet of things. This paper is a revised and expanded version of a paper entitled "
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Elyes Ben Hamida, Muhammad Javed, Wassim Znaidi. Adaptive security provisioning for vehicular safety applications. International Journal of Space-Based and Situated Computing, 2017, 7, pp.16 - 16. ⟨10.1504/IJSSC.2017.084120⟩. ⟨hal-01591881⟩

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