V-Chain: A Blockchain-Based Car Lease Platform

Agyekum, Kwame O.-B Obour; Xia, Qi; Sifah, Emmanuel Boateng; Amofa, Sandro; Acheampong, Kingsley Nketia; Gao, Jianbin; Chen, Ruidong; Xia, Hu; Gee, James C.; Du, Xiaojiang; Guizani, Mohsen

doi:10.1109/cybermatics_2018.2018.00228

Cited by 9 publications

(1 citation statement)

References 26 publications

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“…These solutions primarily comprise the IoV security layer to ensure privacy and security. 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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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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ACCTP: Cross Chain Transaction Platform for High-Value Assets

Wang

Liu

et al. 2020

Lecture Notes in Computer Science

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A Novel Blockchain-Based Framework for Vehicle Life Cycle Tracking: An End-to-End Solution

et al. 2020

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Transactions related to vehicles include manufacturing, buying, selling, paying insurance(takaful), obtaining regular inspection, leasing a vehicle from banks, getting in an accident, engaging in a traffic violation, calculating price predictions and renting a vehicle. Many people perform transactions related to vehicles in their daily life; transportation authorities also perform vehicle transactions as part of managing vehicle fleets. But tracking these transactions is a challenging task. There are countrywide solutions that uses centralized systems. However, these solutions have problems with trust management, transparency, and access control. Therefore, we believe there is still room for integrated automation of various vehicle-related transactions. In this paper, we present a blockchainbased framework for vehicle tracking that incorporates the mentioned features. Moreover, blockchain is customized to enable usage control for additional transactions, such as inspection, renting and islamic insurance. The usage control model is integrated with IoT devices to continuously monitor the vehicles for certain conditions and remotely revoke access if needed [1]. The complete transaction set is recorded over an immutable ledger that provides trust, transparency and a complete history of record. In this paper, we also presents a prototype implementation of a permissioned blockchain, which will be made available under the GNUv3 General Public License. Performance analysis is performed on the newly proposed framework implementation over the permissioned blockchain to measure its adoption and suitability. INDEX TERMS Blockchain, decentralized applications, smart contracts, vehicle life cycle tracking VOLUME 4, 2016 This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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V-Chain: A Blockchain-Based Car Lease Platform

Cited by 9 publications

References 26 publications

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

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

ACCTP: Cross Chain Transaction Platform for High-Value Assets

A Novel Blockchain-Based Framework for Vehicle Life Cycle Tracking: An End-to-End Solution

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