Towards an Analysis of the Architecture, Security, and Privacy Issues in Vehicular Fog Computing

Hoque, Mohammad Aminul; Hasan, Ragib

doi:10.1109/southeastcon42311.2019.9020476

Cited by 20 publications

(18 citation statements)

References 24 publications

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“…In the 5G IoV environment, different attacks on information security and privacy are possible. Attackers can target information such as the vehicle's speed and health, current location and destination route information of vehicles, and the personal information of vehicle users or owners that are stored in infotainment systems (Hoque & Hasan, 2019). Furthermore, due to the wireless medium of the 5G IoV environment, vehicles are open to several types of attacks.…”

Section: Security Attacks In 5g Iov Environmentmentioning

confidence: 99%

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Saber

Mazri

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. An autonomous vehicle is designed to move partially or totally without the intervention of the driver. It is a system equipped with sensors, communication and processing units that make it able to monitor and analyse traffic information in real time to improve road safety. In addition, Internet of Vehicles is the latest technology dedicated to autonomous vehicles, the integration of this technology with 5G serves as a platform to interconnect sensors, vehicles, infrastructure, pedestrian, and network. Hence, the 5G Internet of Vehicles environment provides significant benefits, including increased security, high reliability, wide communication coverage and low service latency. On the other hand, due to the ubiquity of network connectivity, it also presents serious confidentiality, integrity, and availability issues for autonomous vehicles. This paper provides an overview of the autonomous vehicle concept by highlighting its technologies and the 5G IoV environment, presenting some susceptible attacks that can touch the security of this environment, and some good practices to ensure the autonomous vehicle security.

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Section: Security Attacks In 5g Iov Environmentmentioning

confidence: 99%

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Saber

Mazri

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…A bogus information attack implies that wrong information is sent in the network such that the integrity in the VFC system is affected [E-3], [E-5], [60]. Bogus information could be wrong messages [E-7], [18], [55], [56] or injected information [E-8], [50], [52] which is deliberately manipulated [E-1], or forged GPS signals to mislead vehicles due to wrong location information [55]. When attackers are able to access a fog node, they could adjust or fake signals that are sent to a vehicle [E-8].…”

Section: ) Tamperingmentioning

confidence: 99%

“…However, the knowledge is scattered across different research articles and disciplines, and lacks empirical validation. For example, Hoque and Hasan [18] discuss important security risks in the context of VFC. However, physical attacks have been neglected so far, mostly because physical attacks are not explicitly emphasized as relevant threats in popular threat models like STRIDE [19], [20].…”

Section: Introductionmentioning

confidence: 99%

A Threat Model for Vehicular Fog Computing

et al. 2022

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Vehicular Fog Computing (VFC) facilitates the deployment of distributed, latency-aware services, residing between smart vehicles and cloud services. However, VFC systems are exposed to manifold security threats, putting human life at risk. Knowledge on such threats is scattered and lacks empirical validation. We performed an extensive threat assessment by reviewing literature and conducting expert interviews, leading to a comprehensive threat model with 33 attacks and example security mitigation strategies, among others. We thereby synthesize and extend prior research; provide rich descriptions for threats; and raise awareness of physical attacks that underline importance of the cyber-physical manifestation of VFC.INDEX TERMS Vehicular fog computing, fog computing, threat model, STRIDE, security.

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“…Also, the personal information of vehicle users or owners that are stored in infotainment systems can be a target for attackers. Below [15] are some outlined areas of concern regarding privacy in an IoV environment.…”

Section: Privacy Requirementmentioning

confidence: 99%

“…Destination routes and location information of vehicles in the environment should be kept safe to prevent possible attacks [15].…”

Section: Location Privacymentioning

confidence: 99%

Security and Privacy in 5G Internet of Vehicles (IoV) Environment

Osibo¹,

Zhang²,

Xia³

et al. 2021

Journal on Internet of Things

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Modern vehicles are equipped with sensors, communication, and computation units that make them capable of providing monitoring services and analysis of real-time traffic information to improve road safety. The main aim of communication in vehicular networks is to achieve an autonomous driving environment that is accident-free alongside increasing road use quality. However, the demanding specifications such as high data rate, low latency, and high reliability in vehicular networks make 5G an emerging solution for addressing the current vehicular network challenges. In the 5G IoV environment, various technologies and models are deployed, making the environment open to attacks such as Sybil, Denial of Service (DoS) and jamming. This paper presents the security and privacy challenges in an IoV 5G environment. Different categories of vehicular network attacks and possible solutions are presented from the technical point of view.

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Towards an Analysis of the Architecture, Security, and Privacy Issues in Vehicular Fog Computing

Cited by 20 publications

References 24 publications

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

A Threat Model for Vehicular Fog Computing

Security and Privacy in 5G Internet of Vehicles (IoV) Environment

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