Classification of Distributed Denial of Service Attacks in VANET: A Survey

Krishna, K. Vamshi; Karri, Ganesh Reddy

doi:10.1007/s11277-023-10643-6

Cited by 5 publications

(1 citation statement)

References 49 publications

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“…Connected vehicle networks have developed as a breakthrough transportation technology, offering several gains in safety, efficiency, and convenience. These networks provide seamless communication and data sharing between vehicles, infrastructure, and other organizations, resulting in better traffic management, improved navigation systems, and realtime vehicle diagnostics [1,2]. However, as connection and automation become more integrated in automobiles, new security issues emerge that must be addressed [3,4].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Abdul Razak,

Fang,

Kamis

et al. 2023

HighTech. Innov. J.

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Connected vehicles are more vulnerable to attacks than wired networks since they involve rapid mobility, continuous data flow across connected nodes, and dynamic network design in a distributed network environment. Distributed Denial of Service (DDOS) is one of the most common and dangerous security attacks on connected vehicle networks. Attackers can remotely control malicious nodes that are programmed to attack other nodes known. The compromised nodes are known as botnets, which will constantly flood the target nodes with User Datagram Protocol (UDP) packets, disrupting the target nodes data flow and operation. Hence, the goal of this research is to create and simulate a vehicular bot-based Distributed Denial of Service (DDoS) assault in connected vehicle networks. A simulation-based methodology is implemented to observe the impact of the number of bots, DDoS rate, and maximum bulk packet size on network performance. Using the NS-3 network simulator, 73 random mobile vehicle nodes with up to 100 vehicle bots were simulated, and the results are discussed. Regardless of the computational constraints, the findings from this study adds to understanding the risks and problems associated with data transmission by analyzing the impact of vehicular bot-based DDoS attacks on connected vehicle performance. Doi: 10.28991/HIJ-2023-04-04-014 Full Text: PDF

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Section: Introductionmentioning

confidence: 99%

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Abdul Razak,

Fang,

Kamis

et al. 2023

HighTech. Innov. J.

View full text Add to dashboard Cite

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Trajectory tracking attack for vehicular ad‐hoc networks

Li,

2024

Security and Privacy

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Maintaining user privacy and security is a critical concern in vehicular ad hoc networks (VANETs). However, prior research has neglected the study of matrix recovery attack methods in VANETs and the challenge of reducing the number of roadside units (RSUs). In this article, we formulate a path recovery strategy using matrix recovery techniques from an adversarial view. Subsequently, the challenge of minimizing RSUs while monitoring all user vehicles in a region is converted into a set cover problem. We introduce a heuristic algorithm that utilizes clustering to address this issue. To minimize matrix recovery errors, a Kalman filter based method is integrated to enhance the performance. This paper also presents an initial deployment of path recovery attacks, maintaining effectiveness even with certain defense mechanisms in place. Furthermore, we conduct simulation experiments to evaluate the effectiveness of the proposed attack strategy. The simulation results demonstrate the performance across various dimensions. Finally, the results show that the success rate of our proposed counter‐defense strategy in overcoming user defenses surpasses 50%.

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