A Privacy-Preserving Attack-Resistant Trust Model for Internet of Vehicles Ad Hoc Networks

Abstract

The Internet of things (IoT) and advancements of wireless technology have evolved intelligent transport systems to integrate billion of smart objects ready to connect to the Internet. The modern era of the Internet of things (IoT) has brought significant development in vehicular ad hoc networks (VANETs) which transformed the conventional VANET into the Internet of Vehicle (IoV) to improve road safety and diminished road congestion. However, security threats are increasing due to dependency on infrastructure, computing, dynamic nature, and control technologies of VANET. The security threats of VANETs could be addressed comprehensively by increasing trustworthiness on the message received and transmitting node. Conversely, the presence of dishonest vehicles, for instance, Man in the Middle (MiTM) attackers, in the network sharing malicious content could be posed as a severe threat to VANET. Thus, increasing trustworthiness among nodes can lead to increased authenticity, privacy, accuracy, security, and trusted information sharing in the VANET. In this paper, a lightweight trust model is proposed, presented model identifying dishonest nodes and revoking its credential in the MiTM attack scenario. Furthermore, addressing the privacy and security requirement, the pseudonym scheme is used. All nodes in the VANET established trust provided by initially RSU, which is a trusted source in the network. Extensive experiments are conducted based on a variety of network scenarios to evaluate the accuracy and performance of the presented lightweight trust model. In terms of recall, precision, and F-score, our presented model significantly outperformed compared to MARINE. The simulation results have validated that the proposed lightweight model realized a high trust level with 40% of MiTM attackers and in terms of F-score 95%, whereas the MARINE model has 90%, which leads to the model to attain high detection accuracy.

Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles

“…Vehicle ad hoc networks (VANETs) are the basis of the smarter cities concept and Intelligent Transportation Systems (ITSs) to increase transportation effectiveness and protection [4][5][6]. e Internet of ings (IoT) is a recent technology that has expanded to include billions of smart gadgets that are prepared to communicate to the Network [7]. Remote gadgets, smart objects, and wired and wirelessly networking have all been made possible by novel technology.…”

A lightweight and anti‐collusion trust model combined with nodes dynamic relevance for the power internet of things

“…Since the existing trust model does not consider the lightweight solution when the network suffers from large-scale attacks and collusion attacks, it cannot be directly applied to the WSN in the power grid [27]. In this paper, we propose a lightweight trust model for anti-collusion power IoT.…”

R‐D P : A risk‐adaptive privacy protection scheme for mobile crowdsensing in industrial internet of things

“…The papers in Ref. [20,21] calculate the trustworthiness between nodes by the trust model to reduce the possibility of MiTM attackers in Vehicular Ad-Hoc Networks, which is inspiring for the process of data dissemination in our privacy-protection scheme. Therefore, we borrow the idea of the trust model to form the evaluation of opposite side gadgets gradually and dynamically in the process of continuous interaction between gadgets to guide the dissemination behaviour of gadgets.…”