A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing
In vehicular ad hoc networks (VANETs), trust establishment among vehicles is important to secure integrity and reliability of applications. In general, trust and reliability help vehicles to collect correct and credible information from surrounding vehicles. On top of that, a secure trust model can...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7995031/ |
| _version_ | 1818853742616772608 |
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| author | Seyed Ahmad Soleymani Abdul Hanan Abdullah Mahdi Zareei Mohammad Hossein Anisi Cesar Vargas-Rosales Muhammad Khurram Khan Shidrokh Goudarzi |
| author_facet | Seyed Ahmad Soleymani Abdul Hanan Abdullah Mahdi Zareei Mohammad Hossein Anisi Cesar Vargas-Rosales Muhammad Khurram Khan Shidrokh Goudarzi |
| author_sort | Seyed Ahmad Soleymani |
| collection | DOAJ |
| description | In vehicular ad hoc networks (VANETs), trust establishment among vehicles is important to secure integrity and reliability of applications. In general, trust and reliability help vehicles to collect correct and credible information from surrounding vehicles. On top of that, a secure trust model can deal with uncertainties and risk taking from unreliable information in vehicular environments. However, inaccurate, incomplete, and imprecise information collected by vehicles as well as movable/immovable obstacles have interrupting effects on VANET. In this paper, a fuzzy trust model based on experience and plausibility is proposed to secure the vehicular network. The proposed trust model executes a series of security checks to ensure the correctness of the information received from authorized vehicles. Moreover, fog nodes are adopted as a facility to evaluate the level of accuracy of event's location. The analyses show that the proposed solution not only detects malicious attackers and faulty nodes, but also overcomes the uncertainty and imprecision of data in vehicular networks in both line of sight and non-line of sight environments. |
| first_indexed | 2024-12-19T07:41:39Z |
| format | Article |
| id | doaj.art-6b9690deda514178838d40fd41ec41c3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:41:39Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6b9690deda514178838d40fd41ec41c32022-12-21T20:30:27ZengIEEEIEEE Access2169-35362017-01-015156191562910.1109/ACCESS.2017.27332257995031A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog ComputingSeyed Ahmad Soleymani0Abdul Hanan Abdullah1https://orcid.org/0000-0002-4948-9607Mahdi Zareei2https://orcid.org/0000-0001-6623-1758Mohammad Hossein Anisi3https://orcid.org/0000-0001-8414-2708Cesar Vargas-Rosales4Muhammad Khurram Khan5Shidrokh Goudarzi6Universiti Teknologi Malaysia, Johor Baharu, MalaysiaUniversiti Teknologi Malaysia, Johor Baharu, MalaysiaInstituto Tecnologico y de Estudios Superiores de Monterrey, Monterrey, MexicoSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.Instituto Tecnologico y de Estudios Superiores de Monterrey, Monterrey, MexicoKing Saud University, Riyadh, Saudi ArabiaUniversiti Teknologi Malaysia, Johor Baharu, MalaysiaIn vehicular ad hoc networks (VANETs), trust establishment among vehicles is important to secure integrity and reliability of applications. In general, trust and reliability help vehicles to collect correct and credible information from surrounding vehicles. On top of that, a secure trust model can deal with uncertainties and risk taking from unreliable information in vehicular environments. However, inaccurate, incomplete, and imprecise information collected by vehicles as well as movable/immovable obstacles have interrupting effects on VANET. In this paper, a fuzzy trust model based on experience and plausibility is proposed to secure the vehicular network. The proposed trust model executes a series of security checks to ensure the correctness of the information received from authorized vehicles. Moreover, fog nodes are adopted as a facility to evaluate the level of accuracy of event's location. The analyses show that the proposed solution not only detects malicious attackers and faulty nodes, but also overcomes the uncertainty and imprecision of data in vehicular networks in both line of sight and non-line of sight environments.https://ieeexplore.ieee.org/document/7995031/Trustplausibilityexperiencefog nodefuzzy logicVANET |
| spellingShingle | Seyed Ahmad Soleymani Abdul Hanan Abdullah Mahdi Zareei Mohammad Hossein Anisi Cesar Vargas-Rosales Muhammad Khurram Khan Shidrokh Goudarzi A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing IEEE Access Trust plausibility experience fog node fuzzy logic VANET |
| title | A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing |
| title_full | A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing |
| title_fullStr | A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing |
| title_full_unstemmed | A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing |
| title_short | A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing |
| title_sort | secure trust model based on fuzzy logic in vehicular ad hoc networks with fog computing |
| topic | Trust plausibility experience fog node fuzzy logic VANET |
| url | https://ieeexplore.ieee.org/document/7995031/ |
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