Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/76479
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Gonçalves, Fábio Raul Costa | por |
dc.contributor.author | Macedo, Joaquim | por |
dc.contributor.author | Santos, Alexandre | por |
dc.date.accessioned | 2022-03-11T11:17:38Z | - |
dc.date.available | 2022-03-11T11:17:38Z | - |
dc.date.issued | 2021-11-02 | - |
dc.identifier.citation | Gonçalves, F.; Macedo, J.; Santos, A. An Intelligent Hierarchical Security Framework for VANETs. Information 2021, 12, 455. https://doi.org/10.3390/info12110455 | por |
dc.identifier.issn | 2078-2489 | - |
dc.identifier.uri | https://hdl.handle.net/1822/76479 | - |
dc.description.abstract | Vehicular Ad hoc Networks (VANETs) are an emerging type of network that increasingly encompass a larger number of vehicles. They are the basic support for Intelligent Transportation Systems (ITS) and for establishing frameworks which enable communication among road entities and foster the development of new applications and services aimed at enhancing driving experience and increasing road safety. However, VANETs’ demanding characteristics make it difficult to implement security mechanisms, creating vulnerabilities easily explored by attackers. The main goal of this work is to propose an Intelligent Hierarchical Security Framework for VANET making use of Machine Learning (ML) algorithms to enhance attack detection, and to define methods for secure communications among entities, assuring strong authentication, privacy, and anonymity. The ML algorithms used in this framework have been trained and tested using vehicle communications datasets, which have been made publicly available, thus providing easily reproducible and verifiable results. The obtained results show that the proposed Intrusion Detection System (IDS) framework is able to detect attacks accurately, with a low False Positive Rate (FPR). Furthermore, results show that the framework can benefit from using different types of algorithms at different hierarchical levels, selecting light and fast processing algorithms in the lower levels, at the cost of accuracy, and using more precise, accurate, and complex algorithms in nodes higher in the hierarchy. | por |
dc.description.sponsorship | This work has been supported by national funds through FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/00319/2020. | por |
dc.language.iso | eng | por |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | por |
dc.relation | UIDB/00319/2020 | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | VANETs | por |
dc.subject | Security | por |
dc.subject | Intrusion detection systems | por |
dc.subject | Machine learning | por |
dc.title | An intelligent hierarchical security framework for VANETs | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.mdpi.com/2078-2489/12/11/455 | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 26 | por |
oaire.citationIssue | 11 | por |
oaire.citationVolume | 12 | por |
dc.date.updated | 2021-11-25T15:59:59Z | - |
dc.identifier.doi | 10.3390/info12110455 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Information | por |
oaire.version | VoR | por |
dc.identifier.articlenumber | 455 | por |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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information-12-00455-v2.pdf | 1,21 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons