A Survey of Blockchain-based Cybersecurity for Vehicular Networks

Wang, Xifeng; Xu, Changqiao; Zhou, Zan; Yang, Shujie; Sun, Limin

doi:10.1109/iwcmc48107.2020.9148566

Cited by 21 publications

(18 citation statements)

References 33 publications

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“…Its purpose is to organize the data sent from the network layer and track the IoT and network environment carefully in real‐time for fault finding 25 . There are different techniques associated with resource planning, resource positioning, resource arrangement, and assignment 26 …”

Section: Research Selection and Analysis Methodsmentioning

confidence: 99%

“…25 There are different techniques associated with resource planning, resource positioning, resource arrangement, and assignment. 26 According to Figure 3, we illustrate a taxonomy on the existing BaaS models that are categorized into three main classes including data layer, network layer, and resource layer models. In the data layer model, the BaaS model is applied…”

Section: Brief Description Of Baas Taxonomymentioning

confidence: 99%

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Blockchain as a service models in the Internet of Things management: Systematic review

Deng

Cai

et al. 2020

Trans Emerging Tel Tech

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Today, blockchain uses a list of various blocks for storing a distributed flat of invariable information that informs of a set of replicated logical things in the Internet of Things (IoT). In the blockchain, a set of blocks includes various transactions containing a cryptographic hash value and a timestamp. Blockchain‐as‐a‐service (BaaS) as a new service in cloud providers presents an infrastructure for accessing users to execute, manage, and monitor blockchain applications without high secured infrastructure requirements. Recently, BaaS concepts widely have used the management of IoT applications in different layers such as network, data, control, and resource. This paper provides a systematic review of recent research studies in BaaS models. The main goal behind this review is to categorize the applied scenarios, trends, evaluated Quality of Service (QoS) factors, new challenges, and open directions on BaaS models in IoT management. To evaluate the existing research studies in this field, five analytical research questions are proposed to analyze the technical aspects of each study. The analytical results based on existing research questions specify that the BaaS models are applied to network layer to manage IoT environment more than other layers. Also, security and privacy are two important factors to evaluate the existing BaaS models in cloud‐edge IoT environments. Finally, the integration of BaaS models on IoT environments with interconnections of cloud‐edge computing and software defined networks creates great secure opportunities for smart environment applications to monitor, manage, and improve all the atomic services and resources.

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Section: Research Selection and Analysis Methodsmentioning

confidence: 99%

Section: Brief Description Of Baas Taxonomymentioning

confidence: 99%

Blockchain as a service models in the Internet of Things management: Systematic review

Deng

Cai

et al. 2020

Trans Emerging Tel Tech

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“…Several researchers have separately presented engaging surveys on FL for vehicular networks [16,[18][19][20][21] and blockchain for vehicular networks [22][23][24][25][26]. However, to the best of our knowledge, this is the first time that blockchain and FL have been combined for vehicle networks.…”

Section: Comparison and Contributionmentioning

confidence: 99%

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey

Javed

Hassan

Shahzad

et al. 2022

Sensors

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The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends mainly on the IoT. Advanced machine learning (ML) techniques are being used to strengthen the STI smartness further. However, some decisions are very challenging due to the vast number of STI components and big data generated from STIs. Computation cost, communication overheads, and privacy issues are significant concerns for wide-scale ML adoption within STI. These issues can be addressed using Federated Learning (FL) and blockchain. FL can be used to address the issues of privacy preservation and handling big data generated in STI management and control. Blockchain is a distributed ledger that can store data while providing trust and integrity assurance. Blockchain can be a solution to data integrity and can add more security to the STI. This survey initially explores the vehicular network and STI in detail and sheds light on the blockchain and FL with real-world implementations. Then, FL and blockchain applications in the Vehicular Ad Hoc Network (VANET) environment from security and privacy perspectives are discussed in detail. In the end, the paper focuses on the current research challenges and future research directions related to integrating FL and blockchain for vehicular networks.

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“…However, although the primary problems related to the application of Blockchain to the IoV were analyzed, the classification methodology of analyzed works was not considered. Wang et al [20] surveyed Blockchain-based cybersecurity for vehicular networks and discussed the cybersecurity threat analysis of vehicular networks; however, recent advances in fifth-generation (5G) technology, big data analytics, and machine learning were not considered. Dibaei et al [21] investigated the integration of innovative technologies (e.g., machine learning and Blockchain) to IoV for securing vehicular networks.…”

Section: A Related Work and Contributions Of This Surveymentioning

confidence: 99%

“…However, the challenges that hinder the implementation of deep learning and Blockchain in vehicular networks have not been well investigated. Wang et al [20] investigated several aspects (e.g., preserving privacy in IoV, certificate management, trust management, and Blockchain-based IoV security) of the Blockchain implementation in the IoV; however, they did discuss the open issues in detail, and recommendations for further research were not provided. Mikavica et al [22] reviewed state-of-the-art Blockchain architectures according to their primary features and objectives related to security, privacy preservation, and trust management.…”

Section: A Related Work and Contributions Of This Surveymentioning

confidence: 99%

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

Jabbar

Dhib²,

Said

et al. 2022

IEEE Access

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The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain management. It is regarded as a decentralized, trustworthy, secure, transparent, and immutable solution that innovates data sharing and management. This survey aims to provide a systematic review of Blockchain application to intelligent transportation systems in general and the Internet of Vehicles (IoV) in particular. The survey is divided into four main parts. First, the Blockchain technology including its opportunities, relative taxonomies, and applications is introduced; basic cryptography is also discussed. Next, the evolution of Blockchain is presented, starting from the primary phase of pre-Bitcoin (fundamentally characterized by classic cryptography systems), followed by the Blockchain 1.0 phase, (characterized by Bitcoin implementation and common consensus protocols), and finally, the Blockchain 2.0 phase (characterized by the implementation of smart contracts, Ethereum, and Hyperledger). We compared and identified the strengths and limitations of each of these implementations. Then, the state of the art of Blockchain-based IoV solutions (BIoV) is explored by referring to a large and trusted source database from the Scopus data bank. For a well-structured and clear discussion, the reviewed literature is classified according to the research direction and implemented IoV layer. Useful tables, statistics, and analysis are also presented. Finally, the open problems and future directions in BIoV research are summarized.

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A Survey of Blockchain-based Cybersecurity for Vehicular Networks

Cited by 21 publications

References 33 publications

Blockchain as a service models in the Internet of Things management: Systematic review

Blockchain as a service models in the Internet of Things management: Systematic review

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

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