Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT

Kong, Qinglei; Lu, Rongxing; Yin, Feng; Cui, Shuguang

doi:10.1109/tvt.2021.3064834

Cited by 49 publications

(16 citation statements)

References 24 publications

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“…In [295], a scheduling approach for EV charging was proposed considering the battery capacity, the rate or behavior of charging and discharging operations, and the relative cost of charging. This mechanism could be extended to consider VOLUME 0, 2021 [299]- [302], [313]- [315] [115], [316]- [322] Data management [105], [159], [323]- [357] [358], [359] [105], [159], [323]- [348], [360]- [373] Communication and network [374]- [382] [135], [157], [158], [378], [383]- [414] [135], [157], [158], [383]- [406], [415]- [452] Payments [102], [107], [108], [453]- [455], [455]- [461] [104], [106] [102], [104], [106]- [108], [114], [453], [462], [463] other selection criteria, such as actual battery status, traffic congestion, and service delay. Other research works focused on designing effici...…”

Section: Energymentioning

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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Section: Energymentioning

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 different alternatives to monetize data collection in the automotive industry thanks to blockchain technology. [4,[9][10][11]13,15,16,19]…”

Section: Monetizingmentioning

confidence: 99%

“…All the proposed data-collection solutions from the reviewed articles used hashing solutions for keeping the privacy and anonymity of data in the blockchain [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], where the integrity and security of data stored on blockchain are dependent on cryptographic hashing. In Reference [10], security is ensured through encryption, whereas integrity is achieved by ensuring that signatures are updated when data are modified.…”

Section: Privacymentioning

confidence: 99%

“…To avoid security vulnerabilities and the technical and ethical limitations of traditional methods, blockchain, with its attractive functionality, offers solutions to various security problems [5][6][7][8]. In addition, it offers a secure option for the collection of automotive data [9][10][11][12][13][14][15][16][17][18][19][20]. These characteristics have been described by Reference [8], as follows:…”

Section: Introductionmentioning

confidence: 99%

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Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

Mohammad

Vargas

Čermák

2022

JCP

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Today’s cars can share data with other cars, automakers, and service providers. Shared data can help improve the driving experience, the performance of the car, and the traffic situations. Among all data-collection techniques, blockchain technology offers an immutable and secure solution to support data collection in the automotive industry. Despite its advantages, collecting auto data with blockchain still faces several challenges. Thus, the purpose of this study was to conduct a review of published articles that have addressed the challenges of adopting blockchain for data collection in the automotive industry. This paper allowed us to answer the predefined research question: “What are the challenges of using blockchain for data collection in the automotive industry as presented in the published literature?” The review included articles published from 2017 to January 2022, and from the screened records, 13 articles were analyzed in full-text form. The founded challenges were categorized into seven categories: connectivity, privacy, security attacks, scalability, performance, costs, and monetizing. This review will help researchers, car manufacturers, and third-party suppliers to assess the applicability of the blockchain for data collection.

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“…Another option is to exploit SOP since it may increase the security by diversifying signals that are employed in the localization process [110]. A promising technology, blockchain, is making its way into WSNs, and it is expected to improve further the security in WSNs [235].…”

Section: Securitymentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT

Cited by 49 publications

References 24 publications

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

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