Blockchain-Based Internet of Vehicles Privacy Protection System

Su, Tianhong; Shao, Sujie; Guo, Shaoyong; Lei, Min

doi:10.1155/2020/8870438

Cited by 20 publications

(9 citation statements)

References 8 publications

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“…In [15], a scalable life cycle inventory model was designed to maintain data usability over time. A twoway authentication and key agreement algorithm using encryption and signature model were proposed in [16]. Yet another strong modular approach with common transport and vehicle characteristics as building blocks for virtual vehicles was designed in [17].…”

Section: Related Workmentioning

confidence: 99%

Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract

Bragadeesh¹,

Umamakeswari²

2022

Computer Systems Science and Engineering

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Life Cycle Tracking (LCT) involves continuous monitoring and analysis of various activities associated with a vehicle. The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple stakeholders. Frauds and swindling activities can be prevented if the history of the vehicles is made available to the interested parties. Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions performed. Machine learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT model. In the proposed work, Harmonic Optimized Gradient Descent and Łukasiewicz Fuzzy (HOGD-LF) Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three stages. First, the Progressive Harmonic Optimized User Registration and Authentication model is designed for computationally efficient registration and authentication. Next, for the authentic user, the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU utilization. Finally, Łukasiewicz Fuzzy Smart Contract Verification is performed with encrypted data to ensure accurate and precise fraudulent activity deduction. The experimental analysis shows that the proposed method achieves significant performance in terms of life cycle's prediction time, overhead, and accuracy for a different number of users.

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Section: Related Workmentioning

confidence: 99%

Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract

Bragadeesh¹,

Umamakeswari²

2022

Computer Systems Science and Engineering

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“…The study covers the combination of blockchain technology with Internet of vehicles system and to provide an efficient and safe two-way authentication method. [13,101]…”

Section: Safetymentioning

confidence: 99%

Systematic Analysis of Risk Associated with Supply Chain Operations Using Blockchain Technology

Khan

Malik

Khan

2022

Wireless Communications and Mobile Computing

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Advancements in information and communication technologies (ICT), big data analytics, and artificial intelligence- (AI-) based techniques brought a dramatic revolution in diverse research domains, including healthcare, IoT, and networking. Blockchain technologies are gaining traction from both private and government organizations at an incredible rate. Emerging technologies have different levels of technological complexities and commercial ramifications. This technology is playing an essential role in the financial revolution of banking and regulatory sectors. Blockchain has piqued the interest of many academics, organizations, and businesses, particularly in using bitcoin. To grasp the significance of this revolution, a comprehensive assessment is performed to bridge the gaps in the targeted blockchain-driven domain with different perspectives. For this systematic review process, a set of four distinct research questions were formulated to accumulate the most relevant research trends. In private and public organizations, it is a securing technology to deliver trustworthy and protected services to users because of its decentralized, controlled aspect. Financial services, real estate, supply chain management, healthcare, academics, and other industries benefit significantly from this evolutionary technology. These application cases are diverse and far-reaching, ranging from smart contracts to blockchain-encrypted educational certificates. This systematic analysis has investigated a total of 113 relevant articles and concluded with the features and functions in an economic setting and briefed how these variables can balance players’ incentives, define core blockchain-related features, and present new research ideas to solve the proposed risk.

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“…Blockchain is considered a technology that may provide a powerful solution to network security and a high level of privacy protection [82]. Such as encryption and signature algorithm [83], k-anonymity [84] and transparency [85] of Blockchain can effectively protect privacy. Data security and privacy protection are challenges to be accepted in the explosive growth of data and rapid development of technology.…”

Section: ) Cluster 1 (Red): Data Security and Privacy Protectionmentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

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As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

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Blockchain-Based Internet of Vehicles Privacy Protection System

Cited by 20 publications

References 8 publications

Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract

Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract

Systematic Analysis of Risk Associated with Supply Chain Operations Using Blockchain Technology

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

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