Lightweight blockchain to solve forgery and privacy issues of vehicle image data

Na, Dongjun; Park, Se Jin

doi:10.23919/apnoms52696.2021.9562586

Cited by 6 publications

(15 citation statements)

References 4 publications

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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%

“…In Reference [4], the processing time associated with validating blocks decreased when using the Lightweight Scalable Blockchain (LSB) instead of the Bitcoin blockchain. In Reference [15], using a blockchain consensus algorithm instead of the PBFT (Practical Byzantine Fault Tolerance) algorithm reduced the time of uploading and downloading from 46 to 17 ms.…”

Section: Connectivitymentioning

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%

“…In Reference [11], the authors did not consider other types of attacks involving data collection in a black box, meaning that their solution is not optimal from a security perspective. In addition, the authors of Reference [15] used a lightweight blockchain in their investigation of the black box, without taking into account the possible attacks it may receive, except that the memory that can be attacked, making it a worse option for data collection from a cyber-security perspective. On the other hand, in the case of Reference [16], active attacks on the vehicle or driver on data integrity are considered, and the system is safe against chosen-ciphertext attacks, as well as against k-collision attack algorithm (KCAA).…”

Section: Security Attacksmentioning

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%

See 4 more Smart Citations

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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“…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%

Section: Connectivitymentioning

confidence: 99%

Section: Privacymentioning

confidence: 99%

Section: Security Attacksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Mohammad

Vargas

Čermák

2022

JCP

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An Overview of the Security Challenges in IoT Environment

Dargaoui

Azrour²,

Allaoui³

et al. 2023

Environmental Science and Engineering

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A Systematic Literature Review of Lightweight Blockchain for IoT

et al. 2022

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The Internet of Things (IoT) has become an essential part of our society. IoT devices are used in our houses, hospitals, cars, industry, etc., making our lives easier. Nonetheless, there are a number of serious concerns about security, privacy and performance issues in IoT. It has been proven that the aforementioned issues are strictly related to the high degree of centralisation of current IoT architecture. Thus, there is an increasing interest in adopting blockchain in IoT. However, blockchain adoption is not straightforward due to the power, storage and computational limitations of IoT. Consequently, the concept of lightweight blockchain is getting more and more attention from researchers and engineers. In this paper, we conduct a systematic literature review on the lightweight blockchain concept for IoT following the PRISMA methodology. We systematically analyse "lightweight blockchain for IoT" proposals in order to better understand the limitations of blockchain for IoT, the characteristics of the current work on this topic and further research opportunities. Specifically, we analyse the definition of lightweight blockchain that other authors give, the characteristics of the reviewed proposals, their "lightweight" aspects and their evaluation. Finally, we discuss the results of the review along with further research opportunities. Consequently, this work is mostly focused on understanding the technical and performance-related aspects of blockchain for IoT as a prelude to more specific analysis such as security (i.e., attacks, vulnerabilities, etc.).

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Lightweight blockchain to solve forgery and privacy issues of vehicle image data

Cited by 6 publications

References 4 publications

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

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

An Overview of the Security Challenges in IoT Environment

A Systematic Literature Review of Lightweight Blockchain for IoT

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