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Secure Intelligent Vehicular Network Using Fog Computing

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dc.contributor.author Erskine, Samuel K.
dc.contributor.author Elleithy, Khaled M.
dc.date.accessioned 2019-07-22T15:32:13Z
dc.date.available 2019-07-22T15:32:13Z
dc.date.issued 2019-04-24
dc.identifier.citation Erskine, S.K.; Elleithy, K.M. Secure Intelligent Vehicular Network Using Fog Computing. Electronics 2019, 8, 455. en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4216
dc.description.abstract VANET (vehicular ad hoc network) has a main objective to improve driver safety and traffic efficiency. The intermittent exchange of real-time safety message delivery in VANET has become an urgent concern due to DoS (denial of service) and smart and normal intrusions (SNI) attacks. The intermittent communication of VANET generates huge amount of data which requires typical storage and intelligence infrastructure. Fog computing (FC) plays an important role in storage, computation, and communication needs. In this research, fog computing (FC) integrates with hybrid optimization algorithms (OAs) including the Cuckoo search algorithm (CSA), firefly algorithm (FA), firefly neural network, and the key distribution establishment (KDE) for authenticating both the network level and the node level against all attacks for trustworthiness in VANET. The proposed scheme is termed “Secure Intelligent Vehicular Network using fog computing” (SIVNFC). A feedforward back propagation neural network (FFBP-NN), also termed the firefly neural, is used as a classifier to distinguish between the attacking vehicles and genuine vehicles. The SIVNFC scheme is compared with the Cuckoo, the FA, and the firefly neural network to evaluate the quality of services (QoS) parameters such as jitter and throughput. en_US
dc.description.uri http://dx.doi.org/10.3390/electronics8040455
dc.language.iso en_US en_US
dc.publisher MDPI en_US
dc.subject Vehicular ad hoc network (VANET) en_US
dc.subject Fog computing en_US
dc.subject Denial of service attack (DOS) en_US
dc.subject Feed forward back propagation neural network en_US
dc.subject Cuckoo search algorithm en_US
dc.subject Firefly algorithm en_US
dc.subject Quality of service en_US
dc.title Secure Intelligent Vehicular Network Using Fog Computing en_US
dc.type Article en_US
dc.publication.issue 4 en_US
dc.publication.name Electronics en_US
dc.publication.volume 8 en_US


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