Fuzzy trust model for trustworthiness of information in vehicular ad hoc network

Vehicular ad hoc networks (VANETs) represent a class of ad hoc networks created to enhance road safety, passenger comfort, traffic efficiency, and reduce overall traffic accidents. In this network, all applications are based on the exchange of data among vehicles, hence, the trustworthiness of data...

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Main Author:	Soleymani, Seyed Ahmad
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/96280/1/SeyedAhmadSoleymaniPSC2019.pdf.pdf
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spelling	my-utm-ep.962802022-07-05T08:04:58Z Fuzzy trust model for trustworthiness of information in vehicular ad hoc network 2019 Soleymani, Seyed Ahmad QA75 Electronic computers. Computer science Vehicular ad hoc networks (VANETs) represent a class of ad hoc networks created to enhance road safety, passenger comfort, traffic efficiency, and reduce overall traffic accidents. In this network, all applications are based on the exchange of data among vehicles, hence, the trustworthiness of data and vehicles is essential. The presence of selfish nodes, as well as obstacles, by generating inaccurate and incomplete information, has a negative impact on the trustworthiness of the vehicular environment. Therefore, the aim of this research is to propose a trust model in a vehicular environment, which results in the safety and comfort of passengers, by increasing the trustworthiness of information. For this purpose, a fuzzy trust model (F-TRUST) composed of three modules, namely, plausibility, experience, and decision-making, was proposed. To cope with the inaccurate and incomplete data, the proposed model evaluated the trust level of both data and vehicles by performing fuzzy logic in both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. The proposed model was evaluated by well-known evaluation measures such as precision, recall, F-measure, overall accuracy, and communication overhead. The results indicate that F-TRUST had better performance as compared to the weighted voting (WV) approach. In addition, the F-TRUST scheme outperformed the WV approach under various patterns of attacks such as simple attack, opinion tampering attack, and cunning attack. In conclusion, this study demonstrates that F-TRUST can improve the trustworthiness of information objectively, and in turn help vehicles to detect the selfish nodes and inaccurate data. 2019 Thesis http://eprints.utm.my/id/eprint/96280/ http://eprints.utm.my/id/eprint/96280/1/SeyedAhmadSoleymaniPSC2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143032 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Soleymani, Seyed Ahmad Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
description	Vehicular ad hoc networks (VANETs) represent a class of ad hoc networks created to enhance road safety, passenger comfort, traffic efficiency, and reduce overall traffic accidents. In this network, all applications are based on the exchange of data among vehicles, hence, the trustworthiness of data and vehicles is essential. The presence of selfish nodes, as well as obstacles, by generating inaccurate and incomplete information, has a negative impact on the trustworthiness of the vehicular environment. Therefore, the aim of this research is to propose a trust model in a vehicular environment, which results in the safety and comfort of passengers, by increasing the trustworthiness of information. For this purpose, a fuzzy trust model (F-TRUST) composed of three modules, namely, plausibility, experience, and decision-making, was proposed. To cope with the inaccurate and incomplete data, the proposed model evaluated the trust level of both data and vehicles by performing fuzzy logic in both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. The proposed model was evaluated by well-known evaluation measures such as precision, recall, F-measure, overall accuracy, and communication overhead. The results indicate that F-TRUST had better performance as compared to the weighted voting (WV) approach. In addition, the F-TRUST scheme outperformed the WV approach under various patterns of attacks such as simple attack, opinion tampering attack, and cunning attack. In conclusion, this study demonstrates that F-TRUST can improve the trustworthiness of information objectively, and in turn help vehicles to detect the selfish nodes and inaccurate data.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Soleymani, Seyed Ahmad
author_facet	Soleymani, Seyed Ahmad
author_sort	Soleymani, Seyed Ahmad
title	Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
title_short	Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
title_full	Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
title_fullStr	Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
title_full_unstemmed	Fuzzy trust model for trustworthiness of information in vehicular ad hoc network
title_sort	fuzzy trust model for trustworthiness of information in vehicular ad hoc network
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2019
url	http://eprints.utm.my/id/eprint/96280/1/SeyedAhmadSoleymaniPSC2019.pdf.pdf
_version_	1747818655123505152

Fuzzy trust model for trustworthiness of information in vehicular ad hoc network

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