Towards Transparency and Trustworthy: A Used-Car Deposit Platform Based on Blockchain

Zhang, Jinyu; Zhao, Honghui; Yang, Yumeng; Yan, Jiaqi

doi:10.1109/qrs-c.2019.00022

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…The system relies on Hyperledger Fabric and is meant to be used by an alliance of manufacturers, logistic enterprises, testing institutions, used car dealers and customers. A similar idea is proposed in [30], where a consortium blockchain based on Hyperledger Fabric is defined to ease the interactions among used car buyers and sellers, banks, insurance companies and used car dealers. Information stored on the blockchain is related to test reports, insurance-related data, and certificates such as proof of purchase of insurance certificates.…”

Section: Related Workmentioning

confidence: 99%

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Blockchain and NFTs-Based Trades of Second-Hand Vehicles

Butera,

Gatteschi,

Pratticò

et al. 2023

IEEE Access

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Recently, the automotive industry has been characterized by disruptive innovations, like selfdriving cars or hybrid/electric engines. Despite this fact, some operations, such as the trade of secondhand vehicles, still continue to be carried out in the ''traditional'' way, in which the buyer has to trust the seller about the state of the vehicle. Several studies highlighted that odometer fraud alone could cost around 8.9 billion euros per year. In order to overcome these limitations, which are related to information asymmetries between buyers and sellers, in this work we propose to exploit blockchain technology to store a previous vehicle's history in a transparent way. To further explore blockchain advantages, we also present how a decentralized second-hand vehicle market -enabling also automatic transfers of ownership upon monetary transfers -can be built, leveraging on Non-Fungible Tokens (NFTs). We propose an architecture and a practical implementation of a Decentralized Application (Dapp) and discuss the security of the proposed system, its costs, and future developments.INDEX TERMS Blockchain, decentralized marketplaces, digital passport, ERC Standards, Ethereum, NFTs, second-hand vehicles trading, smart contracts, used vehicles.

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Section: Related Workmentioning

confidence: 99%

“…The majority of the analyzed works have the objective to store the vehicle's story from multiple sources [20], [21], [22], [23], [24], [28], [29], [30], [31], [34]. Some works also propose to rely on the blockchain to transfer the property of the car [25], [27].…”

Section: Related Workmentioning

confidence: 99%

Blockchain and NFTs-Based Trades of Second-Hand Vehicles

Butera,

Gatteschi,

Pratticò

et al. 2023

IEEE Access

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show abstract

“…Blockchain-based platforms are used for smart car parking services [243], [464], [465], car leasing [225], training and learning autonomous cars [226], and establishing trusted multiparty insurance [39]. They are also employed for the secure selling and buying of used cars [259] and the transparent dissemination of the usage history of motors for trading [227]. A smart contract-based platform for emerging transport services was proposed in [244].…”

Section: B Transports Applicationsmentioning

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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“…Various scientists have developed platforms based on blockchain for establishing trusted multiparty insurance (Demir et al, 2019), training and learning autonomous cars (Gandhi & Salvi, 2019), car leasing (Obour Agyekum et al, 2018), and smart car parking services (Hu et al, 2019; Jabbar, Fetais, et al, 2020; Jabbar, Krichen, Shinoy, et al, 2020; Jabbar et al, 2021). Moreover, Masoud et al (2019) developed the transparent dissemination of the users' motor history for trading, whereas Zhang et al (2019) used blockchain to ensure secure purchasing and selling of second‐hand vehicles.…”

Section: Related Workmentioning

confidence: 99%

Privacy‐preserving federated learning cyber‐threat detection for intelligent transport systems with blockchain‐based security

et al. 2022

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Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making independent decisions about cyber threats, attacks, and faults. While, AI techniques are based on data sharing among the vehicles, it is important to note that sensitive data cannot be shared. Thus, federated learning (FL) has been implemented to protect privacy in vehicles. On the other hand, the integrity of data and the safety of aggregation are ensured by using blockchain technology. This paper applied classification approaches to VANET and ITS cyber‐threats detection at the vehicle. Subsequently, by using blockchain and by applying an aggregation strategy to different models, models from the previous step were uploaded in a smart contract. Lastly, we returned the updated models to the vehicles. Furthermore, we conducted an experimental study to measure the effectiveness of the proposed prototype. In this paper, the VeReMi data set was distributed in a balanced manner into five parts in the experimental study. Thus, classification techniques were executed by each vehicle separately, and models were generated. Upon the aggregation of the models in blockchain, they were returned to the vehicles. Lastly, the vehicles updated their decision functions and accessed the precision and accuracy of cyber‐threat detection. The results indicated that the precision and accuracy decreased by 7.1% on average with comparable F1‐score and recall. Our solution ensures the privacy preservation of vehicles whereas blockchain guarantees the safety of aggregation technique and low gas consumption.

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Towards Transparency and Trustworthy: A Used-Car Deposit Platform Based on Blockchain

Cited by 9 publications

References 10 publications

Blockchain and NFTs-Based Trades of Second-Hand Vehicles

Blockchain and NFTs-Based Trades of Second-Hand Vehicles

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

Privacy‐preserving federated learning cyber‐threat detection for intelligent transport systems with blockchain‐based security

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