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...
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Institute of Electrical and Electronics Engineers Inc.
2017
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Online Access: | http://eprints.utm.my/id/eprint/76226/1/SeyedAhmadSoleymani_ASecureTrustModelBasedonFuzzyLogic.pdf http://eprints.utm.my/id/eprint/76226/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028449681&doi=10.1109%2fACCESS.2017.2733225&partnerID=40&md5=1786a96d78cc0181abc5058775634053 |
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my.utm.762262018-06-26T07:53:16Z http://eprints.utm.my/id/eprint/76226/ A secure trust model based on fuzzy logic in vehicular Ad Hoc networks with fog computing Soleymani, S. A. Abdullah, A. H. Zareei, M. Anisi, M. H. Vargas Rosales, C. Khurram Khan, M. Goudarzi, S. QA75 Electronic computers. Computer science 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. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/76226/1/SeyedAhmadSoleymani_ASecureTrustModelBasedonFuzzyLogic.pdf Soleymani, S. A. and Abdullah, A. H. and Zareei, M. and Anisi, M. H. and Vargas Rosales, C. and Khurram Khan, M. and Goudarzi, S. (2017) A secure trust model based on fuzzy logic in vehicular Ad Hoc networks with fog computing. IEEE Access, 5 . pp. 15619-15629. ISSN 2169-3536 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028449681&doi=10.1109%2fACCESS.2017.2733225&partnerID=40&md5=1786a96d78cc0181abc5058775634053 |
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QA75 Electronic computers. Computer science Soleymani, S. A. Abdullah, A. H. Zareei, M. Anisi, M. H. Vargas Rosales, C. Khurram Khan, M. Goudarzi, S. A secure trust model based on fuzzy logic in vehicular Ad Hoc networks with fog computing |
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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. |
format |
Article |
author |
Soleymani, S. A. Abdullah, A. H. Zareei, M. Anisi, M. H. Vargas Rosales, C. Khurram Khan, M. Goudarzi, S. |
author_facet |
Soleymani, S. A. Abdullah, A. H. Zareei, M. Anisi, M. H. Vargas Rosales, C. Khurram Khan, M. Goudarzi, S. |
author_sort |
Soleymani, S. A. |
title |
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_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_sort |
secure trust model based on fuzzy logic in vehicular ad hoc networks with fog computing |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2017 |
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http://eprints.utm.my/id/eprint/76226/1/SeyedAhmadSoleymani_ASecureTrustModelBasedonFuzzyLogic.pdf http://eprints.utm.my/id/eprint/76226/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028449681&doi=10.1109%2fACCESS.2017.2733225&partnerID=40&md5=1786a96d78cc0181abc5058775634053 |
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1643657252766220288 |
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13.160551 |