Trust Management for Vehicular Networks: An Adversary-Oriented Overview

Kerrache, Chaker Abdelaziz; Calafate, Carlos T.; Cano, Juan-Carlos; Lagraa, Nasreddine; Manzoni, Pietro

doi:10.1109/access.2016.2645452

Cited by 177 publications

(109 citation statements)

References 69 publications

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“…Similar to most communication networks, V2X security requirements can be divided into five points: availability, data integrity, confidentiality, authenticity and non-repudiation (Kerrache et al (2016a)). However, in the V2X environment, attacks which targeting information availability are the most dangerous because they cause a serious effect on safety-critical situations.…”

Section: Threats Analysis For Ieee 80211p and Lte-v2xmentioning

confidence: 99%

“…They commonly are necessary against internal attackers which they own legitimate certificate. Also, they are mostly applied on distributed and semi-centralized network (Kerrache et al (2016a)). The weighted-sum method has some challenges such as setting the weights and trust threshold, however, it is considered a common and lightweight method for vehicular networks.…”

Section: The Considered Attacksmentioning

confidence: 99%

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Cyber security challenges and solutions for V2X communications: A survey

2019

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In recent years, vehicles became able to establish connections with other vehicles and infrastructure units that are located in the roadside. In the near future, the vehicular network will be expanded to include the communication between vehicles and any smart devices in the roadside which is called Vehicle-to-Everything (V2X) communication. The vehicular network causes many challenges due to heterogeneous nodes, various speeds and intermittent connection, where traditional security methods are not always efficacious. As a result, an extensive variety of research works has been done on optimizing security solutions whilst considering network requirements. In this paper, we present a comprehensive survey and taxonomy of the existing security solutions for V2X communication technology. Then, we provide discussions and comparisons with regard to some pertinent criteria. Also, we present a threat analysis for V2X enabling technologies. Finally, we point out the research challenges and some future directions.

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Section: Threats Analysis For Ieee 80211p and Lte-v2xmentioning

confidence: 99%

Section: The Considered Attacksmentioning

confidence: 99%

Cyber security challenges and solutions for V2X communications: A survey

2019

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“…Trust is a complement to cryptography on some models where the latter fails to neutralize all potential attacks. In , a survey on existing trust models for cooperative vehicular networks is presented. The authors show existing trust models and how they are implemented in vehicular networks.…”

Section: Related Studiesmentioning

confidence: 99%

Cooperative communications using relay nodes for next‐generation wireless networks with optimal selection techniques: A review

Asshad

Khan

Kavak

et al. 2019

IEEJ Transactions Elec Engng

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In the next-generation wireless networks, cooperative communication is one of the auspicious techniques through which spatial diversity could be achieved by permitting the single antenna to act as virtual multiple input multiple output (VMIMO). The fundamental principle of cooperative communication was established on different types of relaying protocols and implementation of different relaying protocols according to the requirements of communication scenarios. The challenging task for achieving a high performance in cooperative communication is to find out the optimal relay node (RN) among different prevailing RNs. The basic purpose of cooperative communication is to maximize the performance of the network and minimize the overhead triggered by RNs by considering different communication metrics, i.e., signal to noise ratio (SNR), channel state information (CSI), and bit error rate (BER). This study presents a review of different cooperative relaying protocols with best relay selection techniques in the next-generation wireless network. Moreover, the different challenges faced by millimeter wave in 5G wireless networks and the role of cooperative communication to overcome those challenges are discussed. Turkey is that it transmits the duplicates of a signal to the destination independently. Many ideas regarding cooperative communication were first derived by Nichola et al. [5]. In the next-generation wireless network, cooperative communication may be one of the promising approaches for achieving the high data rates as well as efficient utilization of the bandwidth. Cooperative communication uses a RN, to provide coverage in the holes within the Long-Term Evolution-Advanced (LTE-A) cellular networks [6]. Similarly, in mm-wave communication that is considered in 5G, the relaying techniques are used to overcome different challenges of link blockage, backhaul connectivity, and path loss etc. Moreover, to make this technology more efficient and reliable, further improvements are required to achieve these goals.This study presents a broad overview of different relaying protocols with optimal relay selection methods used in different wireless networks. In addition, this study presents the potential benefits of using cooperative communication to overcome different challenges faced by the next generation of wireless networks. The remainder of this article is organized as follows. Section 2 presents existing research on cooperative communication. Section 3 gives an overview of cooperative communication, in which different relaying protocols are presented and comparison between them. In Section 4, we discuss the review of optimal relay selection techniques. In Section 5, we explain the different challenges faced by mm-wave and how to overcome them by cooperative communication. Section 6 summarizes the future challenges in cooperative communication and finally the conclusion is given in Section 7. Sami et al. [7] demonstrate a survey and taxonomy on medium access control for cooperative communication. This study classifies ...

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“…In order to effectively identify malicious vehicles and ensure reliable transmission of data between vehicles, the recently popular solutions are to apply trust mechanism to a few common routing protocols [5]. However, the trust prediction schemes used in the common trust models, such as analytic hierarchy process and Bayesian prediction, cannot accurately predict a vehicle's trust value based on this vehicle's historical trust values, especially when the sample set is small.…”

Section: Introductionmentioning

confidence: 99%

Trust prediction based on grey exponential smoothing method in VANETs

Zhang

Xia

et al. 2019

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019,

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In vehicular ad hoc networks (i.e., VANETs), normal communications between vehicles are vulnerable to attacks from malicious vehicles. Trust-based solution is a feasible method to solve the routing security problem. In this paper, a trust prediction model based on grey exponential smoothing method is proposed by combining the grey model, the exponential smoothing prediction method and the golden section search method. A multicast routing protocol based on the grey exponential smoothing trust prediction model, named ESGM-ODMRP, is presented to verify the validity of this new method. In the experiments, the evaluation of four routing metrics (i.e., packet delivery ratio, overhead, average latency and byte sent per byte delievered) prove that our protocol performs better in identifying malicious vehicles and establishing secure routes.

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Trust Management for Vehicular Networks: An Adversary-Oriented Overview

Cited by 177 publications

References 69 publications

Cyber security challenges and solutions for V2X communications: A survey

Cyber security challenges and solutions for V2X communications: A survey

Cooperative communications using relay nodes for next‐generation wireless networks with optimal selection techniques: A review

Trust prediction based on grey exponential smoothing method in VANETs

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