Staff View: CTMF: Context-Aware Trust Management Framework for Internet of Vehicles

CTMF: Context-Aware Trust Management Framework for Internet of Vehicles

Secure communication is the top concern of the Internet of Vehicles (IoV). The trust between nodes can have a considerable impact on ensuring IoV security. Therefore, the trustworthiness of a received message must be evaluated before acting upon it. A malicious node can broadcast bogus events to obt...

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Main Authors:	Rehman, A., Hassan, M.F.B., Hooi, Y.K., Qureshi, M.A., Shukla, S., Susanto, E., Rubab, S., Abdel-Aty, A.
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134250254&doi=10.1109%2fACCESS.2022.3189349&partnerID=40&md5=2b8b4a51df1227738fe9a475878c93d6 http://eprints.utp.edu.my/33378/
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spelling	my.utp.eprints.333782022-07-26T08:38:13Z CTMF: Context-Aware Trust Management Framework for Internet of Vehicles Rehman, A. Hassan, M.F.B. Hooi, Y.K. Qureshi, M.A. Shukla, S. Susanto, E. Rubab, S. Abdel-Aty, A. Secure communication is the top concern of the Internet of Vehicles (IoV). The trust between nodes can have a considerable impact on ensuring IoV security. Therefore, the trustworthiness of a received message must be evaluated before acting upon it. A malicious node can broadcast bogus events to obtain network control. False reports and malicious vehicles render the network unreliable during emergencies. In this study, a unique trust framework is presented that considers most of the aspects of trust in IoV to accurately identify malicious nodes and events. Previous studies have proposed some trust models for VANETs, which have many deficiencies in serving IoV. In particular, they lack dynamism and practical implementations. All the existing models have two things in common, first they work on fixed parameters, and second, they use static scenarios. In contrast, the proposed framework is based on a context-awareness cognitive approach with artificial intelligence (AI) properties. The framework cognitively learns the environment from the received report and creates a context around an event. In addition to trust management (TM), the proposed framework offers a novel process for detecting and screening malicious nodes using anomaly outliers. The performance of the framework was examined using an experimental simulation. The proposed framework was compared with top benchmarks in the field. The results show inclining performance indicators. The proposed trust-management framework has the potential to serve as a component of IoV security. Author Institute of Electrical and Electronics Engineers Inc. 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134250254&doi=10.1109%2fACCESS.2022.3189349&partnerID=40&md5=2b8b4a51df1227738fe9a475878c93d6 Rehman, A. and Hassan, M.F.B. and Hooi, Y.K. and Qureshi, M.A. and Shukla, S. and Susanto, E. and Rubab, S. and Abdel-Aty, A. (2022) CTMF: Context-Aware Trust Management Framework for Internet of Vehicles. IEEE Access . p. 1. http://eprints.utp.edu.my/33378/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
description	Secure communication is the top concern of the Internet of Vehicles (IoV). The trust between nodes can have a considerable impact on ensuring IoV security. Therefore, the trustworthiness of a received message must be evaluated before acting upon it. A malicious node can broadcast bogus events to obtain network control. False reports and malicious vehicles render the network unreliable during emergencies. In this study, a unique trust framework is presented that considers most of the aspects of trust in IoV to accurately identify malicious nodes and events. Previous studies have proposed some trust models for VANETs, which have many deficiencies in serving IoV. In particular, they lack dynamism and practical implementations. All the existing models have two things in common, first they work on fixed parameters, and second, they use static scenarios. In contrast, the proposed framework is based on a context-awareness cognitive approach with artificial intelligence (AI) properties. The framework cognitively learns the environment from the received report and creates a context around an event. In addition to trust management (TM), the proposed framework offers a novel process for detecting and screening malicious nodes using anomaly outliers. The performance of the framework was examined using an experimental simulation. The proposed framework was compared with top benchmarks in the field. The results show inclining performance indicators. The proposed trust-management framework has the potential to serve as a component of IoV security. Author
format	Article
author	Rehman, A. Hassan, M.F.B. Hooi, Y.K. Qureshi, M.A. Shukla, S. Susanto, E. Rubab, S. Abdel-Aty, A.
spellingShingle	Rehman, A. Hassan, M.F.B. Hooi, Y.K. Qureshi, M.A. Shukla, S. Susanto, E. Rubab, S. Abdel-Aty, A. CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
author_facet	Rehman, A. Hassan, M.F.B. Hooi, Y.K. Qureshi, M.A. Shukla, S. Susanto, E. Rubab, S. Abdel-Aty, A.
author_sort	Rehman, A.
title	CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
title_short	CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
title_full	CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
title_fullStr	CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
title_full_unstemmed	CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
title_sort	ctmf: context-aware trust management framework for internet of vehicles
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2022
url	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134250254&doi=10.1109%2fACCESS.2022.3189349&partnerID=40&md5=2b8b4a51df1227738fe9a475878c93d6 http://eprints.utp.edu.my/33378/
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score	13.211869

CTMF: Context-Aware Trust Management Framework for Internet of Vehicles

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