MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles

Journal article


Ahmad, F., Kurugollu, Fatih, Adnane, Asma, Hussain, Rasheed and Hussain, Fatima 2020. MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles. IEEE Internet of Things. https://doi.org/10.1109/JIOT.2020.2967568
AuthorsAhmad, F., Kurugollu, Fatih, Adnane, Asma, Hussain, Rasheed and Hussain, Fatima
Abstract

Vehicular Ad-hoc NETwork (VANET), a novel technology holds a paramount importance within the transportation domain due to its abilities to increase traffic efficiency and safety. Connected vehicles propagate sensitive information which must be shared with the neighbors in a secure environment. However, VANET may also include dishonest nodes such as Man-in-the-Middle (MiTM) attackers aiming to distribute and share malicious content with the vehicles, thus polluting the network with compromised information. In this regard, establishing trust among connected vehicles can increase security as every participating vehicle will generate and propagate authentic, accurate and trusted content within the network. In this paper, we propose a novel trust model, namely, Man-in-the-middle Attack Resistance trust model IN connEcted vehicles (MARINE), which identifies dishonest nodes performing MiTM attacks in an efficient way as well as revokes their credentials. Every node running MARINE system first establishes trust for the sender by performing multi-dimensional plausibility checks. Once the receiver verifies the trustworthiness of the sender, the received data is then evaluated both directly and indirectly. Extensive simulations are carried out to evaluate the performance and accuracy of MARINE rigorously across three MiTM attacker models and the bench-marked trust model. Simulation results show that for a network containing 35% MiTM attackers, MARINE outperforms the state of the art trust model by 15%, 18%, and 17% improvements in precision, recall and F-score, respectively.

KeywordsConnected Vehicles; Trust Management; Trust Model; Smart Cities; Man-in-the-middle Attack; VANET
Year2020
JournalIEEE Internet of Things
PublisherIEEE
ISSN23274662
Digital Object Identifier (DOI)https://doi.org/10.1109/JIOT.2020.2967568
Web address (URL)http://hdl.handle.net/10545/624408
http://creativecommons.org/licenses/by-nc-nd/4.0/
hdl:10545/624408
Publication dates17 Jan 2020
Publication process dates
Deposited21 Jan 2020, 09:10
Accepted06 Jan 2020
Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

ContributorsUniversity of Derby, Loughborough university, Innopolis University, Russia and API Delivery & Operations, Royal Bank of Canada, Toronto, Canada
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