Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET

Lahrouni, Youssef; Pereira, Caroly; Bensaber, Boucif Amar; Biskri, Ismaïl

doi:10.1145/3132062.3132065

Cited by 8 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[61], jamming attacks [62], black and grey hole attacks [63]. Studies have investigated DoS attacks in VANETs and provided possible mitigation and detection mechanisms such as packet detection, monitoring, and analysis [64–67], bloom filters [68], machine learning methods such as kernel support vector machine [69], logistic regression [70], and trust computation [71].…”

Section: Cyber Attacks In Cavsmentioning

confidence: 99%

Cyber security analysis of connected vehicles

Mwanje,

Kaiwartya,

Aljaidi

et al. 2024

IET Intelligent Trans Sys

View full text Add to dashboard Cite

The sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐everything (V2X) communications have significantly contributed to the spark in the amount of data exchange in the connected and autonomous vehicles (CAV) environment. The growing vehicular communications pose a potential cyber security risk considering online vehicle hijacking. Therefore, there is a critical need to prioritize the cyber security issues in the CAV research theme. In this context, this paper presents a cyber security analysis of connected vehicle traffic environments (CyACV). Specifically, potential cyber security attacks in CAV are critically investigated and validated via experimental data sets. Trust in V2X communication for connected vehicles is explored in detail focusing on trust computation and trust management approaches and related challenges. A wide range of trust‐based cyber security solutions for CAV have been critically investigated considering their strengths and weaknesses. Open research directions have been highlighted as potential new research themes in CAV cyber security area.

show abstract

Section: Cyber Attacks In Cavsmentioning

confidence: 99%

Cyber security analysis of connected vehicles

Mwanje,

Kaiwartya,

Aljaidi

et al. 2024

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…Different studies and research work in the field of security in VANET had been presented to tackle the araised problems in terms of communication, data transmission and people safety. In [3,4], the authors focused on Service Denial (SD) attacks that prevents end-users receiving the right data at the right moment. They analyzed SD attacks, behavior and effects on the network using various analytical models to detect an efficient answerusing different steps.…”

Section: Introductionmentioning

confidence: 99%

Multi-level cyber security system for VANET

Yasir

Croock

2020

IJEECS

View full text Add to dashboard Cite

<p>Recently, the cyber security of vehicular ad-hoc network (VANET) including two practicable: car-to-car and car-to-infrastructure has been considered due to importance. It has become possible to keep pace with the development in the world, where the safety of people is a priority in the development of technology in general and in particular in the field of VANET. In this paper, a cyber security system for VANET has been proposed to tackle the DOS attacks. The proposed system includes three security levels. Firstly, the registeration level that ask vehicles to be registered in the system, in which the network exclude the unrigestered ones. Secondly, the authentication level that checks the vehicles before joining the network. This is done by applying a proposed algorithm that considers the hash function and factory number. Thirdly, the proposed system ables to detect the DOS attack by any involved vehicle using the monitoring algorithm that allocate such vehicle to be excluded from the network. The obtained results show the efficient performance of the proposed system in managing the security of the VANET network. The multi-level system increases the security of the network, in which the attacks can be eliminated.</p>

show abstract

A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition Systems

Siddiqui

Boukerche

2021

J Netw Syst Manage

View full text Add to dashboard Cite

Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET

Cited by 8 publications

References 4 publications

Cyber security analysis of connected vehicles

Cyber security analysis of connected vehicles

Multi-level cyber security system for VANET

A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition Systems

Contact Info

Product

Resources

About