Geo-localized content availability in VANETs

Silva, Fabrício A.; Boukerche, Azzedine; Silva, Thais R. M. Braga; Ruiz, Linnyer B.; Loureiro, Antônio A. F.

doi:10.1016/j.adhoc.2015.06.004

Cited by 11 publications

(5 citation statements)

References 22 publications

(11 reference statements)

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“…However, frequent packet losses will lead to a huge number of CAM rebroadcasts, causing broadcast storms, congested channel, and unpredicted propagation delay . (3) Forwarder‐based retransmission : For each lost CAM, an optimal forwarder will be selected to retransmit it based on metrics such as Global Position System (GPS) positions and channel link quality. This scheme can reduce the risk of broadcast storm, but it calls for the global information and central control of the network to find out the optimal forwarder, which is difficult in highly dynamic networks.…”

Section: Introductionmentioning

confidence: 99%

A cooperative offloading game on data recovery for reliable broadcast in VANET

Xiao

Zhang

Hassan

et al. 2016

Concurrency and Computation

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Summary The rapidly growing demand for accident‐free driving in intelligent transportation makes reliable broadcast a critical factor for vehicular ad hoc networks. Existing solutions always try to improve the broadcast reliability by retransmitting lost packets. However, the excessive retransmissions can easily cause unpredictable time delay and even broadcast storms, rendering the reliable broadcast problem unsolved. In this paper, a novel reliable broadcast scheme is proposed by exploring the advantages of lost data piggybacking. Our scheme allows all the vehicles to piggyback some received packets cooperatively to help other vehicles to recover the lost packets. We formulate the cooperative piggybacking problem as a cooperative offloading game and present a decentralized solution to compute the optimal data piggybacking solutions based on only partial network information. A reward‐penalty scheme is designed for the offloading process to impel all the vehicles' decisions that converge to the Nash equilibrium, which is proved to be the global optimal solution to the decentralized offloading scheme. Simulation results show that the proposed cooperative offloading scheme can achieve much higher broadcast reliability and lower propagation delay, in comparison with existing solutions. In a small vehicle network, all lost cooperative awareness messages can be successfully recovered within 25 ms after the initial broadcast by using the data traces generated by GEMV2. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

A cooperative offloading game on data recovery for reliable broadcast in VANET

Xiao

Zhang

Hassan

et al. 2016

Concurrency and Computation

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“…The availability of services at all times is critical. As a result, the needed redundancy for this purpose must be appropriately implemented [250].…”

Section: B Security Requirements To Securing Intelligent Vehiclesmentioning

confidence: 99%

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

et al. 2021

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“…It is essential that services be available at all times. Consequently, the required redundancy for this purpose must be implemented properly [72].…”

Section: A Security Requirementsmentioning

confidence: 99%

An Overview of Attacks and Defences on Intelligent Connected Vehicles

Dibaei,

Zheng,

Jiang

et al. 2019

Preprint

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Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers' safety. Cyber security in intelligent connected vehicles is composed of in-vehicle security and security of inter-vehicle communications. Security of Electronic Control Units (ECUs) and the Control Area Network (CAN) bus are the most significant parts of in-vehicle security. Besides, with the development of 4G LTE and 5G remote communication technologies for vehicle-toeverything (V2X) communications, the security of inter-vehicle communications is another potential problem. After giving a short introduction to the architecture of next-generation vehicles including driverless and intelligent vehicles, this review paper identifies a few major security attacks on the intelligent connected vehicles. Based on these attacks, we provide a comprehensive survey of available defences against these attacks and classify them into four categories, i.e. cryptography, network security, software vulnerability detection, and malware detection. We also explore the future directions for preventing attacks on intelligent vehicle systems.

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Geo-localized content availability in VANETs

Cited by 11 publications

References 22 publications

A cooperative offloading game on data recovery for reliable broadcast in VANET

A cooperative offloading game on data recovery for reliable broadcast in VANET

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

An Overview of Attacks and Defences on Intelligent Connected Vehicles

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