Detecting Sybil Attack, Black Hole Attack and DoS Attack in VANET Using RSA Algorithm

Shah, Priyanka; Kasbe, Tanmay

doi:10.1109/eti4.051663.2021.9619414

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…To avoid the registration and insurance authorities learning about collisions involving the attacker's vehicles. Moreover, prevent collision reports from being delivered to road-side access points [71,91]. Hardware tampering Adversaries exploit vehicle and RSU hardware.…”

Section: Message Suspensionmentioning

confidence: 99%

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A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Ahmed

Deng

Memon

et al. 2022

Wireless Communications and Mobile Computing

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Vehicular ad hoc networks (VANETs) connect two or more vehicles wirelessly to enable data exchange in an Internet of Things (IoT) environment. In VANETs, location privacy is the most crucial piece of information, and its protection is the top priority. However, the location privacy threats have not been adequately addressed in positioning for IoT in VANETs. This paper provides an overview of location privacy attacks and their solutions to address the problems caused by attacks in any IoT environment. Secondly, we have analyzed specific solutions based on anonymity (pseudonym) and cryptographic solutions using a digital signature technique. This enables to improve user privacy and security of location-based services for IoT in VANET. Moreover, we have proposed a faster 5G solution for the VANETs as it rapidly disseminates the data in fast-moving vehicles.

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Section: Message Suspensionmentioning

confidence: 99%

“…(a) Sybil Attack. The Sybil attack is hazardous because the vehicle can act as if it has multiple identities simultaneously [71,72]. One of the main ways that two entities can convince a third that they are independent is by performing activities that cannot be performed by a single entity alone.…”

Section: Message Suspensionmentioning

confidence: 99%

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Ahmed

Deng

Memon

et al. 2022

Wireless Communications and Mobile Computing

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“…Shah et al 17 discussed how to identify Sybil, blackhole, and denial of service (DoS) attacks using WSN. These networks have a greater vulnerability to them.…”

Section: Related Workmentioning

confidence: 99%

Developing an optimized routing protocol with rumor riding technique for detection of Sybil attack in VANET environment

Navinkumar,

Somasundaram

2024

Int J Communication

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SummaryAn attack on VANET known as a Sybil attack involves the attacker claiming or stealing multiple identities with the intent of causing havoc on the network's operation by disseminating false information. To protect the VANET network from Sybil attack, a variety of methods have been proposed. In order to compensate for the Sybil attack on VANETs, a rumor riding with salp swarm optimization (SSO) based Routing protocol is developed in this research work. The primary goal of this investigation is to discover how VANETs are vulnerable to the Sybil attack in order to improve their security. Rumor riding will be used to identify the Sybil attack in the suggested strategy. VANETs are protected by the Blowfish Algorithm, which uses SSO to select the best key for each network. The collective intelligence and dynamic adaptation of SALP swarm optimization algorithm enable efficient identification of rumor sources in complex networks. The algorithm is scalable, flexible, and adept at reducing false positives and negatives, making it suitable for large‐scale monitoring. Its parallel processing capabilities and robustness ensure rapid and reliable detection. Using the NS2 platform, the proposed method is compared to existing benchmark in terms of delay, packet delivery ratio (PDR), packet loss, throughput, and attack detection rate. The proposed SSO has reduced the packet loss by nearly 5% and delay by nearly 7%, when compared with existing techniques. The delivery ratio of packet for proposed model is increased up to 8% of PDR, when compared with ACO, PSO, and FA. According to this evidence, it is clear that the proposed SSO outperformed existing approaches in a variety of performance metrics.

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“…Detection of Sybil attack, Black hole attack as well as DoS attack is done by using the RSA algorithm. Detection of attacks through RSA algorithm is quite complex and time consuming [11]. Singh et al have proposed a mechanism to detect DoS attack in VANET using Enhanced Attacked Packet Detection Algorithm (EAPDA).…”

Section: Introductionmentioning

confidence: 99%

Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique

Bhanja,

Majhi,

Sahoo

et al. 2023

Preprint

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Vehicular Adhoc network (VANET) are more prone to various types of attacks. Sybil attack is the most dangerous attack in vehicular adhoc network as it creates multiple fake identities and creates traffic congestion.Fake identities are used to enter the network illegally.On the other hand, distributed denial of service (DDoS) attack intentionally blocks the users from accessing any online services. It temporarily disrupts or interrupts the service of the hosting server. These types of attacks in VANET cause severe damage to vehicles, passengers travelling in the vehicles by inducing traffic congestion, and may also cause minor or fatal accidents.Hence, it is highly essential to early detect such attacks in VANET to protect the vehicles and human kind. In this work, a novel model is proposed using fuzzy logic controllers (FLCs) to detect both the Sybil and the DDoS attacks in VANET. Furthermore, performance of attack detection is also analysed and compared with the existing techniques. The proposed model yields better accuracy, sensitivity, and recall value compared to the existing techniques. Margin of error for the attack detection is also estimated for 95% of the confidence interval.

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Detecting Sybil Attack, Black Hole Attack and DoS Attack in VANET Using RSA Algorithm

Cited by 9 publications

References 14 publications

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Developing an optimized routing protocol with rumor riding technique for detection of Sybil attack in VANET environment

Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique

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Detecting Sybil Attack, Black Hole Attack and DoS Attack in VANET Using RSA Algorithm

Cited by 9 publications

References 14 publications

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Developing an optimized routing protocol with rumor riding technique for detection of Sybil attack in VANET environment

Detection of Sybil &amp; DDoS Attacks in VANET using Intelligent Technique

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Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique