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

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 un...

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Vydáno v:IEEE transactions on dependable and secure computing Ročník 13; číslo 1; s. 32 - 45
Hlavní autoři: Eiza, Mahmoud Hashem, Owens, Thomas, Qiang Ni
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington IEEE 01.01.2016
IEEE Computer Society
Témata:
ACO
Ad hoc networks
Algorithms
Delays
evolving graph
multi-constrained QoS (MCQ)
Quality of service
Reliability
reliable routing
Routing
secure routing
Security
Service introduction
Simulation
Studies
VANETs
Vehicles
Wireless networks
VANETs
secure routing
reliable routing
evolving graph
multi-constrained QoS (MCQ)
ACO
ISSN:1545-5971, 1941-0018
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Shrnutí: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 routing control messages exchanged among vehicles. Simulation results show that the QoS can be guaranteed while applying security mechanisms to ensure a reliable and robust routing service.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2014.2382602