An Overview: Various Attacks in VANET

Zaidi, Taskeen

doi:10.1109/ccaa.2018.8777538

Cited by 34 publications

(28 citation statements)

References 17 publications

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“…e authentic user will receive the same data packets from various vehicles because the illusion is always created in a network and believes its node will alter the route. is decision goes in favour of the attacker, while the route becomes clear, thus the attacker enjoys the trip [29,41]. Figure 7 represents a Sybil assault in which an assailant in Car C creates numerous identities and sends those data packets with false identities to other users, which creates an illusion that the road has enormous traffic.…”

Section: Sybil Assaultmentioning

confidence: 99%

“…Furthermore, it assures transmitting data through it by presenting the shortest path to the receiver node [29,46]. e victim node chooses that shortest path and sends the data packet; any malicious node may drop the message or misuse the message for its own [41,47,48]. Figure 9 depicts that Car K desires to submit messages to Car P and Car Q, but it has no routing path for those nodes.…”

Section: Black Hole Assaultmentioning

confidence: 99%

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Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Mahmood

Duan

et al. 2021

Security and Communication Networks

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Recently, vehicular ad hoc networks (VANETs) got much popularity and are now being considered as integral parts of the automobile industry. As a subclass of MANETs, the VANETs are being used in the intelligent transport system (ITS) to support passengers, vehicles, and facilities like road protection, including misadventure warnings and driver succor, along with other infotainment services. The advantages and comforts of VANETs are obvious; however, with the continuous progression in autonomous automobile technologies, VANETs are facing numerous security challenges including DoS, Sybil, impersonation, replay, and related attacks. This paper discusses the characteristics and security issues including attacks and threats at different protocol layers of the VANETs architecture. Moreover, the paper also surveys different countermeasures.

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Section: Sybil Assaultmentioning

confidence: 99%

Section: Black Hole Assaultmentioning

confidence: 99%

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Mahmood

Duan

et al. 2021

Security and Communication Networks

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“…In a passive attack, the malicious vehicle can spy on the communication channel between two authorized vehicles on the network. In an active attack, the malicious vehicle can discard, delay, or change the contents of the data packet, changing the location of the source/destination node and the content of the message [2], [31]. Many VANETs attacks are variants of the Man-in-the-middle attack, such as the black hole, or the DoS attack.…”

Section: Man-in-the-middle Attackmentioning

confidence: 99%

Security Improvements for Connected Vehicles Position-Based Routing

Silva¹

2021

Int. j. commun. netw. inf. secur.

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The constant growing on the number of vehicles is increasing the complexity of traffic in urban and highway environments. It is paramount to improve traffic management to guarantee better road usage and people’s safety. Through efficient communications, Vehicular Ad hoc Networks (VANETs) can provide enough information for traffic safety initiatives, daily traffic data processing, and entertainment information. However, VANETs are vulnerable to malicious nodes applying different types of net-work attacks, where an attacker can, for instance, forge its position to receive the data packet and drop the message. This can lead vehicles and authorities to make incorrect assumptions and decisions, which can result in dangerous situations. Therefore, any data dissemination protocol designed for VANET should consider security issues when selecting the next-hop forwarding node. In this paper, we propose a security scheme designed for position-based routing algorithms, which analyzes nodes position, transmission range, and hello packet interval. The scheme deals with malicious nodes performing network attacks, faking their positions forcing packets to be dropped. We used the Simulation of Urban MObility (SUMO) and Network Simulator-version 3 (NS-3) to compare our proposed scheme integrated with two well-known position-based algorithms. The results were collected in an urban Manhattan grid environment varying the number of nodes, the number of malicious nodes, as well as the number of source-destination pairs. The results show that the proposed security scheme can successfully improve the packet delivery ratio while maintaining low average end-to-end delay of the algorithms.

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“…The authors also reviewed security protocols and enlisted advantages, disadvantages and issues of VANET. The authors Zaidi and Faisal (7) broadly elaborated the working of VANET components and discussed the potential attacks possible over VANET.…”

Section: Introductionmentioning

confidence: 99%

Implementation of ACO in Vanet with Detection of Faulty Node

Faisal¹,

Zaidi²

2021

IJST

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Objective: To propose an Ant Colony Optimization (ACO) based routing approach for estimating the reliability parameter of backward and forward ants. Methods: The ACO-based proposed methodology is used to predict path or route discovery in VANET. This study has discovered the best optimal path for data transmission. The forward ant movement has a minimum hop count of four for vehicle number 6. The vehicle 6 is a source vehicle, and it starts data transmission. The pheromone concentration of the entire vehicle defers and, after updating, the performance was analyzed. The best path is selected based on hop count, then a path with maximum pheromone concentration is selected. The pheromone evaporation factor is updated after a certain time interval. Findings: We have checked the reliability of the path, considering pheromone evaporation as a factor, the pheromone table is updated at a regular time interval, and the reliability parameter is also proposed for performing a task without failure in an efficient manner. We have arranged a routing table in descending order of hop count and then select the best of three paths with a minimum hop count. We search for hop count less than or equal to 5 and total pheromone greater than or equal to 17.55. We find that Ant 3 having a hop count of 5 and total pheromone concentration of 19.37. In this work, we have taken the evaporation factor as 0.5. If the transmission of a message is successful, then the reliability assigned to the edge will be 100, and for unsuccessful transmission, reliability is taken down by 20. If the reliability of the path will become 40, then the vehicle has to search for a new path. In this way, we eliminate malicious nodes for efficient transmission of message. Novelty: The performance of VANET is improved using ACO based proposed routing approach. The optimal path is selected with a minimum hop count and reliability parameter to identify the successful and unsuccessful path.

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An Overview: Various Attacks in VANET

Cited by 34 publications

References 17 publications

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Security Improvements for Connected Vehicles Position-Based Routing

Implementation of ACO in Vanet with Detection of Faulty Node

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