Authentication-Based Vehicle-to-Vehicle Secure Communication for VANETs

Xu, Huibin; Meng-jia, Zeng; Hu, Wenjun; Juan, Wang

doi:10.1155/2019/7016460

Cited by 14 publications

(7 citation statements)

References 14 publications

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“…The main objective of the cryptosystem is to provide the secrecy and authentication. Xu et al (2019) configured each vehicle with many anonymous public and private key pairs and related public-key certificates. It suffers from high computing costs, storage costs and overhead.…”

Section: Related Workmentioning

confidence: 99%

QOS aware and secured routing algorithm using machine intelligence in next generation VANET

Nadarajan

Kaliyaperumal

2021

Int J Syst Assur Eng Manag

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Vehicular ad-hoc networks have been emerging as an inevitable research topic in recent years due to its applications in Intelligent Transportation System. Establishing end-to-end communication and high authenticate information transfer in vehicular networks remains to be a real challenge due to the dynamic topology change, vehicle interspacing, high vehicle density and non-intelligent authenticated routing mechanisms. To address these aforementioned, a unique stochastic based adaptive routing integrated with secured 3D logistic chaotic maps and traffic flow predictions has been developed and referred in this paper as Stochastic Chaos based Adaptive Routing with Prediction (SCARP). The SCARP can perform the good traffic flow predictions using strong deep learning networks which recommends a stochastic based node discovery routing principle. This approach has reduced connectivity loss, minimized delay and as well provides chaotic authentication to form an efficient and safe data transmission among the vehicular nodes. The performance testing of this proposed method is done with a few months of traffic data obtained from the layout Puducherry U.T, India. These experimentations are carried out in SUMO-OMNET?? environment and compared with existing learning and routing algorithms. Simulation results demonstrates that the proposed algorithm has outperformed the other existing algorithms in terms of prediction accuracy, sensitivity, average delay, packet delivery ratio. Also the transmission performance of the proposed algorithm has more robustness with the high intensity DoS attacks.

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Section: Related Workmentioning

confidence: 99%

QOS aware and secured routing algorithm using machine intelligence in next generation VANET

Nadarajan

Kaliyaperumal

2021

Int J Syst Assur Eng Manag

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“…Therefore, the chances of an attack are possible in the network every time. When attackers attack in the network during data transmission, stop, or delays, the original message can be tampered or discarded during this period [22]. A tampered or wrong message in VANETs becomes the reason for accidents or jamming of traffic.…”

Section: Related Workmentioning

confidence: 99%

“…A tampered or wrong message in VANETs becomes the reason for accidents or jamming of traffic. Xu et al [22] proposed a security scheme to reduce the computation and storage cost and provide authentication to dense environments where vehicles receive multiple messages simultaneously, as well as to resist against the various attacks such as impersonation, modification, and replay attacks; however, the security analysis is not provided against remaining internal and external assaults [22].…”

Section: Related Workmentioning

confidence: 99%

Secure Message Transmission for V2V Based on Mutual Authentication for VANETs

Mahmood

Duan

Xue

et al. 2021

Wireless Communications and Mobile Computing

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The advancements in Vehicular Ad Hoc Networks (VANETs) require more intelligent security protocols that ultimately provide unbreakable security to vehicles and other components of VANETs. VANETs face various types of security pitfalls due to the openness characteristics of the VANET communication infrastructure. Researchers have recently proposed different mutual authentication schemes that address security and privacy issues in vehicle-to-vehicle (V2V) communication. However, some V2V security schemes suffer from inadequate design and are hard to implement practically. In addition, some schemes face vehicle traceability and lack anonymity. Hence, this paper’s primary goal is to enhance privacy preservation through mutual authentication and to achieve better security and performance. Therefore, this article first describes the vulnerabilities of a very recent authentication scheme presented by Vasudev et al. Our analysis proves that the design of Vasudev et al.’s scheme is incorrect, and resultantly, the scheme does not provide mutual authentication between a vehicle and vehicle server when multiple vehicles are registered with the vehicle sever. Furthermore, this paper proposes a secure message transmission scheme for V2V in VANETs. The proposed scheme fulfills the security and performance requirements of VANETs. The security analysis of the proposed scheme using formal BAN and informal discussion on security features confirm that the proposed scheme fulfills the security requirements, and the performance comparisons show that the proposed scheme copes with the lightweightness requirements of VANETs.

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“…VANET is a particular case of Mobile Ad Hoc Network (MANET) and is a key component of intelligent transportation systems (ITS). The development of ITS systems has accelerated the advancement of new technologies to improve road safety enhancement, and traffic management efficiency [1]. In VANET, vehicles are equipped with various sensors to obtain information regarding traffic, road conditions, neighbor's vehicles status (speed, brake, etc.…”

Section: Introductionmentioning

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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Authentication-Based Vehicle-to-Vehicle Secure Communication for VANETs

Cited by 14 publications

References 14 publications

QOS aware and secured routing algorithm using machine intelligence in next generation VANET

QOS aware and secured routing algorithm using machine intelligence in next generation VANET

Secure Message Transmission for V2V Based on Mutual Authentication for VANETs

Security Improvements for Connected Vehicles Position-Based Routing

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