Research trends in Architecture, Security, Services and Applications of Internet of Vehicles (IOV)

Bhardwaj, Indu; Хара, Сибарам

doi:10.1109/gucon.2018.8674992

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…This can remove any incentives users may have to provide the required information for the effective performance of the IoV. Meanwhile, evaluating trustworthiness in the IoV is highly challenging because it is decentralised [16]. Trust must be handled in real time but networks may be congested in peak hours and reaction time in the IoV is limited.…”

Section: B Trust In the Iovmentioning

confidence: 99%

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Privacy and Trust in the Internet of Vehicles

Zavvos

Gerding

Yazdanpanah

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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The Internet of Vehicles aims to fundamentally improve transportation by connecting vehicles, drivers, passengers, and service providers together. Several new services such as parking space identification, platooning and intersection control-to name just a few-are expected to improve traffic congestion, reduce pollution, and improve the efficiency, safety and logistics of transportation. Proposed end-user services, however, make extensive use of private information with little consideration for the impact on users and third parties (those individuals whose information is indirectly involved). This article provides the first comprehensive overview of privacy and trust issues in the Internet of Vehicles at the service level. Various concerns over privacy are formalised into four basic categories: privacy of personal information, trust, consent to provide information, and multi-party privacy. To help analyse services and to facilitate future research, the main relevant end-user services are taxonomised according to voluntary and involuntary information they require and produce. Finally, this work identifies several open research problems and highlights general approaches to address them. These especially relate to measuring the tradeoff between privacy and service functionality, automated consent negotiation, trust towards the IoV and its individual services, and identifying and resolving multi-party privacy conflicts.

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Section: B Trust In the Iovmentioning

confidence: 99%

“…Various architectures have been proposed for the IoV (e.g. see [16]). For example, [4] note that a vehicle cloud can help address the IoV's global character, whereas [17] argue that fog computing can solve the latency problems associated with cloud computing, and to instil the required location awareness.…”

Section: Introductionmentioning

confidence: 99%

Privacy and Trust in the Internet of Vehicles

Zavvos

Gerding

Yazdanpanah

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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“…Hence, compromising with security shall deeply affect the vehicular environment. Bhardwaj and Khara [101] and Groza and Murvay [102] had highlighted several research challenges for security and privacy which has been focused on the IoV. Philip, et al [103] had discussed security and privacy in location-based services [104,105] for mobile and vehicular communications.…”

Section: Security and Privacymentioning

confidence: 99%

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Garg

Mehrotra

Pandey

et al. 2021

Peer-to-Peer Netw. Appl.

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This paper presents a state-of-the-art review of various models of Internet of Vehicles (IoV) that were proposed to revolutionize the transportation and automation industry. In the last few years, IoV technology has emerged as a global revolution, demonstrating considerable impact upon the transportation and automation industry, hence, the interest of the researchers bends towards the utility of the IoV technology which motivated us to present a comprehensive review. This paper, thus, collates recent findings along with some anticipated applications of IoV technologies for transportation. It brings to light the evolution of the IoV studies referred as models for transportation since its birth and aims to present a deep insightful review of various IoV technologies with their strengths and weaknesses. The reviewed literature is organized systematically to give a categorical overview of recent developments. This article also discusses the outstanding potentialities and challenges that exist in transportation from IoV perspective with the belief that these will have the capacity to be addressed in the near future. As there is no review literature on IoV technology available for transportation. Hence, we strongly believe that this study will be useful and enable the researchers to utilize IoV technologies to solve complex outstanding problems in transportation and automation. Keywords Internet of vehicles . V2X . network . Energy efficiency . Big data . QoS 1 IoV is abbreviated as Internet of Vehicles which has also been referred to by various names like ICV (Internet Connected Vehicles) or CV (Connected Vehicles) or AUV (Autonomous Vehicles) by other academicians. 2 V2X represents V2V, V2I, V2H, V2R and V2C which is also referred to as V2α by other academicians.

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“…Vehicles equipped with sensors that communicate through a mobile and wireless network are considered part of the IoT and are referred to as the Internet of Vehicles (IoV). IoV integrates two technologies, vehicular ad hoc networks (VANETs) and the IoT, to take steps toward intelligent transportation [ 4 , 5 , 6 , 7 , 8 ]. The IoT mobilizes IoV to produce a revolution in the field.…”

Section: Introductionmentioning

confidence: 99%

Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions

Alalwany,

Mahgoub

2024

Sensors

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The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a mobile and wireless network. Numerous vehicles, users, things, and networks allow nodes to communicate information with their surroundings via various communication channels. IoV aims to enhance the comfort of driving, improve energy management, secure data transmission, and prevent road accidents. Despite IoV’s advantages, it comes with its own set of challenges, particularly in the highly important aspects of security and trust. Trust management is one of the potential security mechanisms aimed at increasing reliability in IoV environments. Protecting IoV environments from diverse attacks poses significant challenges, prompting researchers to explore various technologies for security solutions and trust evaluation methods. Traditional approaches have been employed, but innovative solutions are imperative. Amid these challenges, machine learning (ML) has emerged as a potent solution, leveraging its remarkable advancements to effectively address IoV’s security and trust concerns. ML can potentially be utilized as a powerful technology to address security and trust issues in IoV environments. In this survey, we delve into an overview of IoV and trust management, discussing security requirements, challenges, and attacks. Additionally, we introduce a classification scheme for ML techniques and survey ML-based security and trust management schemes. This research provides an overview for understanding IoV and the potential of ML in improving its security framework. Additionally, it provides insights into the future of trust and security enhancement.

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Research trends in Architecture, Security, Services and Applications of Internet of Vehicles (IOV)

Cited by 5 publications

References 19 publications

Privacy and Trust in the Internet of Vehicles

Privacy and Trust in the Internet of Vehicles

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions

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