Estimating the Relative Speed of RF Jammers in VANETs

Kosmanos, Dimitrios; Argyriou, Antonios; Μαγλαράς, Λέανδρος

doi:10.1155/2019/2064348

Cited by 21 publications

(13 citation statements)

References 41 publications

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“…Also, some of the values (e.g., existing in Algorithm 2) are set heuristically, evaluating the performance by optimally adjusting those values dynamically would certainly enhance the obtained privacy level of WHISPER. Moreover technologies like blockchain [ 47 ], cryptography [ 48 ], IDSs [ 49 ], and Edge Computing [ 50 ] which are widely recognized as key enablers for IoV could be integrated or used in parallel with our solution. Finally, using other metrics like the number of sent BSMs, the number of verified signatures, and evaluating WHISPER’s performance under different scenarios like the free-way model are some of our future plans.…”

Section: Discussionmentioning

confidence: 99%

WHISPER: A Location Privacy-Preserving Scheme Using Transmission Range Changing for Internet of Vehicles

Babaghayou

Labraoui

Ari

et al. 2021

Sensors

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Internet of Vehicles (IoV) has the potential to enhance road-safety with environment sensing features provided by embedded devices and sensors. This benignant feature also raises privacy issues as vehicles announce their fine-grained whereabouts mainly for safety requirements, adversaries can leverage this to track and identify users. Various privacy-preserving schemes have been designed and evaluated, for example, mix-zone, encryption, group forming, and silent-period-based techniques. However, they all suffer inherent limitations. In this paper, we review these limitations and propose WHISPER, a safety-aware location privacy-preserving scheme that adjusts the transmission range of vehicles in order to prevent continuous location monitoring. We detail the set of protocols used by WHISPER, then we compare it against other privacy-preserving schemes. The results show that WHISPER outperformed the other schemes by providing better location privacy levels while still fulfilling road-safety requirements.

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Section: Discussionmentioning

confidence: 99%

WHISPER: A Location Privacy-Preserving Scheme Using Transmission Range Changing for Internet of Vehicles

Babaghayou

Labraoui

Ari

et al. 2021

Sensors

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“…The node lifetime is estimated based on the ratio of node drain rate and residual energy [56]. The node stability is calculated with respect to relative velocity [57]. The selection of CH is dependent on the stability factor of a particular node.…”

Section: Multi-mbcamentioning

confidence: 99%

StabTrust—A Stable and Centralized Trust-Based Clustering Mechanism for IoT Enabled Vehicular Ad-Hoc Networks

et al. 2020

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Vehicular Ad-hoc Network (VANET) is a modern era of dynamic information distribution among societies. VANET provides an extensive diversity of applications in various domains, such as Intelligent Transport System (ITS) and other road safety applications. VANET supports direct communications between vehicles and infrastructure. These direct communications cause bandwidth problems, high power consumption, and other similar issues. To overcome these challenges, clustering methods have been proposed to limit the communication of vehicles with the infrastructure. In clustering, vehicles are grouped together to formulate a cluster based on certain rules. Every cluster consists of a limited number of vehicles/nodes and a cluster head (CH). However, the significant challenge for clustering is to preserve the stability of clusters. Furthermore, a secure mechanism is required to recognize malicious and compromised nodes to overcome the risk of invalid information sharing. In the proposed approach, we address these challenges using components of trust. A trust-based clustering mechanism allows clusters to determine a trustworthy CH. The novel features incorporated in the proposed algorithm includes trust-based CH selection that comprises of knowledge, reputation, and experience of a node. Also, a backup head is determined by analyzing the trust of every node in a cluster. The major significance of using trust in clustering is the identification of malicious and compromised nodes. The recognition of these nodes helps to eliminate the risk of invalid information. We have also evaluated the proposed mechanism with the existing approaches and the results illustrate that the mechanism is able to provide security and improve the stability by increasing the lifetime of CHs and by decreasing the computation overhead of the CH re-selection. The StabTrust also successfully identifies malicious and compromised vehicles and provides robust security against several potential attacks. INDEX TERMS Intelligent transport system, security, vehicular ad-hoc networks, trust-based clustering, VANET attacks.

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“…The novelty of this metric is that it can be estimated by the physical properties of the wireless channel, using the effect of the Doppler phenomenon. For the jamming attack, we use again the Doppler effect in order to estimate the ∆u between the jammer and the receiver from the combined value of the useful and the jamming signal at the receiver, as described in [27]. The scarcity of publicly available real vehicular communication datasets has been previously discussed in [28].…”

Section: Cav Communication Datasetmentioning

confidence: 99%

Intrusion Detection System for Platooning Connected Autonomous Vehicles

Kosmanos

Pappas

Aparicio-Navarro

et al. 2019

2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM

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The deployment of Connected Autonomous Vehicles (CAVs) in Vehicular Ad Hoc Networks (VANETs) requires secure wireless communication in order to ensure reliable connectivity and safety. However, this wireless communication is vulnerable to a variety of cyber atacks such as spoofing or jamming attacks. In this paper, we describe an Intrusion Detection System (IDS) based on Machine Learning (ML) techniques designed to detect both spoofing and jamming attacks in a CAV environment. The IDS would reduce the risk of traffic disruption and accident caused as a result of cyber-attacks. The detection engine of the presented IDS is based on the ML algorithms Random Forest (RF), k-Nearest Neighbour (k-NN) and One-Class Support Vector Machine (OCSVM), as well as data fusion techniques in a crosslayer approach. To the best of the authors' knowledge, the proposed IDS is the first in literature that uses a cross-layer approach to detect both spoofing and jamming attacks against the communication of connected vehicles platooning. The evaluation results of the implemented IDS present a high accuracy of over 90% using training datasets containing both known and unknown attacks.

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Estimating the Relative Speed of RF Jammers in VANETs

Cited by 21 publications

References 41 publications

WHISPER: A Location Privacy-Preserving Scheme Using Transmission Range Changing for Internet of Vehicles

WHISPER: A Location Privacy-Preserving Scheme Using Transmission Range Changing for Internet of Vehicles

StabTrust—A Stable and Centralized Trust-Based Clustering Mechanism for IoT Enabled Vehicular Ad-Hoc Networks

Intrusion Detection System for Platooning Connected Autonomous Vehicles

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