Detecting Sybil attacks in vehicular networks

Almutaz, Muhammad Ibrahim; Malott, Levi; Chellappan, Sriram

doi:10.1186/2196-064x-1-4

Cited by 15 publications

(6 citation statements)

References 31 publications

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“…This takes place through periodic messages, which the attacker tries to jam. It is this jamming that affects the vehicles' ability to achieve the platoon [13]. Lyamin et al, proposed an algorithm for detecting denial of service attacks in real-time based on some performance metrics such as the percentage of false alarms for any jamming channel and the average beacon time for vehicular ad hoc networks [14].…”

Section: Related Workmentioning

confidence: 99%

An intrusion detection system against malicious attacks on the communication network of driverless cars

Alheeti

Gruebler

McDonald-Maier

2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

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Vehicular ad hoc networking (VANET) have become a significant technology in the current years because of the emerging generation of self-driving cars such as Google driverless cars. VANET have more vulnerabilities compared to other networks such as wired networks, because these networks are an autonomous collection of mobile vehicles and there is no fixed security infrastructure, no high dynamic topology and the open wireless medium makes them more vulnerable to attacks. It is important to design new approaches and mechanisms to rise the security these networks and protect them from attacks. In this paper, we design an intrusion detection mechanism for the VANETs using Artificial Neural Networks (ANNs) to detect Denial of Service (DoS) attacks. The main role of IDS is to detect the attack using a data generated from the network behavior such as a trace file. The IDSs use the features extracted from the trace file as auditable data. In this paper, we propose anomaly and misuse detection to detect the malicious attack. Keywords-security; vehicular ad hoc networks; intrusion detection system; driverless car.We propose a new approach to secure external communication in self-driving and semi self-driving vehicles

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Section: Related Workmentioning

confidence: 99%

An intrusion detection system against malicious attacks on the communication network of driverless cars

Alheeti

Gruebler

McDonald-Maier

2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

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“…In [22], Mutaz et al investigate the traffic of vehicles which always submit reports to RSU. This scheme is unique because of its approach in exploiting model of physical parameters on transportation engineering, e.g., platoon dispersion, speed of vehicles, etc., and also combining with Sybil attack detection schemes, which are similar with [23] and [24] in some way to verify physical presence of the vehicles.…”

Section: A Authentication Of Entitiesmentioning

confidence: 99%

“…We consider that malicious vehicles can modify transaction records and eavesdrop on communication channels to trace a particular vehicle. Considering vehicular network constraints and also less number of vehicles in a rural area, we can imagine that in such a situation, adversaries are likely to launch the Sybil attack, i.e., an attack which is done by an entity that possesses multiple identities, either legitimate or fraudulent, as discussed in several previous works [22], [19].…”

Section: Security Analysismentioning

confidence: 99%

BPT Scheme: Establishing Trusted Vehicular Fog Computing Service for Rural Area Based on Blockchain Approach

Dewanta

Mambo

2021

IEEE Trans. Veh. Technol.

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Passing through a rural area with a limited network infrastructure may disrupt fog computing support for vehicles. As a result, some applications on vehicles may turn off and bother the performance of the vehicular systems. In order to escape from this kind of situation, vehicular fog computing is discussed in recent times as an alternative of fog computing support while passing through a blank spot of network infrastructure. However, it is not feasible to establish a trusted vehicular fog computing service among vehicles without mutual trust. To deal with this situation, this paper proposes a method called Bidding-Price-based Transaction (BPT) for vehicular fog computing service in rural areas. This method is composed of bidding-price-based mutual trust establishment between client vehicle and server vehicle and also payoff assignment based on transaction evaluation. By applying this method, trusted fog computing service transactions between two vehicles can be achieved without the direct assistance of any trusted third party as a validating entity. The simulation results and feasibility analysis then validate the performance of the BPT scheme in rural areas. Based on feasibility analysis, we claim that the BPT scheme can be realized by adjusting vehicle speed and transmission range with respect to the size of offloaded data.

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“…Vehicular ad hoc networks are susceptible to many types of security threats that not only deteriorate the performance of the network, but could also lead to traffic accidents. The possible security threats include eavesdropping [157], [158], sybil attack [159], message spoofing and falsification [160], [161] and many other types of attacks [162], [163].…”

Section: G Impact Of Mmwave Communication On Security Issuesmentioning

confidence: 99%

Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

Ghafoor

Kong

Zeadally

et al. 2020

IEEE Internet Things J.

150

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Internet of Vehicles have attracted a lot of attention in the automotive industry and academia recently. We are witnessing rapid advances in vehicular technologies which comprise many components such as On-Board Units (OBUs) and sensors. These sensors generate a large amount of data, which can be used to inform and facilitate decision making (for example, navigating through traffic and obstacles). One particular focus is for automotive manufacturers to enhance the communication capability of vehicles to extend their sensing range. However, existing short range wireless access, such as Dedicated Short Range Communication (DSRC), and cellular communication, such as 4G, are not capable of supporting the high volume data generated by different fully connected vehicular settings. Millimeter-Wave (mmWave) technology can potentially provide terabit data transfer rates among vehicles. Therefore, we present an in-depth survey of existing research, published in the last decade, and we describe the applications of mmWave communications in vehicular communications. In particular, we focus on MAC and physical layers and discuss related issues such as sensing-aware MAC protocol, handover algorithms, link blockage, and beamwidth size adaptation. Finally, we highlight various aspects related to smart transportation applications, and we discuss future research directions and limitations.

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Detecting Sybil attacks in vehicular networks

Cited by 15 publications

References 31 publications

An intrusion detection system against malicious attacks on the communication network of driverless cars

An intrusion detection system against malicious attacks on the communication network of driverless cars

BPT Scheme: Establishing Trusted Vehicular Fog Computing Service for Rural Area Based on Blockchain Approach

Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

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