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Secure and Robust Multi-Constrained QoS aware Routing Algorithm for VANETs

Hashem Eiza, M, Owens, T and Ni, Q (2015) Secure and Robust Multi-Constrained QoS aware Routing Algorithm for VANETs. IEEE Transactions on Dependable and Secure Computing. ISSN 1545-5971

TDSCSI-2014-06-0158.pdf - Accepted Version

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Secure QoS routing algorithms are a fundamental part of wireless networks that aim to provide services with QoS and security guarantees. In Vehicular Ad hoc Networks (VANETs), vehicles perform routing functions, and at the same time act as end-systems thus routing control messages are transmitted unprotected over wireless channels. The QoS of the entire network could be degraded by an attack on the routing process, and manipulation of the routing control messages. In this paper, we propose a novel secure and reliable multi-constrained QoS aware routing algorithm for VANETs. We employ the Ant Colony Optimisation (ACO) technique to compute feasible routes in VANETs subject to multiple QoS constraints determined by the data traffic type. Moreover, we extend the VANET-oriented Evolving Graph (VoEG) model to perform plausibility checks on the exchanged routing control messages among vehicles. Simulation results show that the QoS can be guaranteed while applying security mechanisms to ensure a reliable and robust routing service.

Item Type: Article
Additional Information: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: 0803 Computer Software, 0804 Data Format, 0805 Distributed Computing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 30 Sep 2015 08:42
Last Modified: 04 Sep 2021 13:56
DOI or ID number: 10.1109/TDSC.2014.2382602
URI: https://researchonline.ljmu.ac.uk/id/eprint/2081
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