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TEAM: A trust evaluation and management framework in context-enabled vehicular ad-hoc networks
journal contribution
posted on 2018-11-22, 11:25 authored by Farhan Ahmad, Virginia N. Franqueira, Asma AdnaneAsma AdnaneVehicular ad-hoc network (VANET) provides a unique platform for vehicles to intelligently exchange critical information, such as collision avoidance messages. It is, therefore, paramount that this information remains reliable and authentic, i.e., originated from a legitimate and trusted vehicle. Trust establishment among vehicles can ensure security of a VANET by identifying dishonest vehicles and revoking messages with malicious content. For this purpose, several trust models (TMs) have been proposed but, currently, there is no effective way to compare how they would behave in practice under adversary conditions. To this end, we propose a novel trust evaluation and management (TEAM) framework, which serves as a unique paradigm for the design, management, and evaluation of TMs in various contexts and in presence of malicious vehicles. Our framework incorporates an asset-based threat model and ISO-based risk assessment for the identification of attacks against critical risks. The TEAM has been built using VEINS, an open source simulation environment which incorporates SUMO traffic simulator and OMNET++ discrete event simulator. The framework created has been tested with the implementation of three types of TMs (data oriented, entity oriented, and hybrid) under four different contexts of VANET based on the mobility of both honest and malicious vehicles. Results indicate that the TEAM is effective to simulate a wide range of TMs, where the efficiency is evaluated against different quality of service and security-related criteria. Such framework may be instrumental for planning smart cities and for car manufacturers.
History
School
- Science
Department
- Computer Science
Published in
IEEE AccessVolume
6Pages
28643 - 28660Citation
AHMAD, F., FRANQUEIRA, V.N. and ADNANE, A., 2018. TEAM: A trust evaluation and management framework in context-enabled vehicular ad-hoc networks. IEEE Access, 6, pp.28643-28660.Publisher
© IEEEVersion
- VoR (Version of Record)
Acceptance date
2018-05-20Publication date
2018-05-25Notes
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.eISSN
2169-3536Publisher version
Language
- en