scholarly journals Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing

2020 ◽  
pp. 245-256
Author(s):  
Bing Xu ◽  
Tobechukwu Agbele ◽  
Richard Jiang
Keyword(s):  
Data Sharing ◽  
Intelligent Vehicle ◽  
Vehicle Data

scholarly journals Towards a Privacy-Preserving Way of Vehicle Data Sharing – A Case for Blockchain Technology?

2018 ◽  
pp. 111-122 ◽  
Author(s):  
Christian Kaiser ◽  
Marco Steger ◽  
Ali Dorri ◽  
Andreas Festl ◽  
Alexander Stocker ◽  
...  
Keyword(s):  
Data Sharing ◽  
Privacy Preserving ◽  
Blockchain Technology ◽  
Vehicle Data

Blockchain-Autonomous Driving Systems

2021 ◽  
pp. 87-114
Author(s):  
P. Lalitha Surya Kumari
Keyword(s):  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Autonomous Driving ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Privacy And Security ◽  
Trust Network ◽  
Vehicle Communication ◽  
Blockchain Technology ◽  
Vehicle Data

Blockchain is the upcoming new information technology that could have quite a lot of significant future applications. In this chapter, the communication network for the reliable environment of intelligent vehicle systems is considered along with how the blockchain technology generates trust network among intelligent vehicles. It also discusses different factors that are effecting or motivating automotive industry, data-driven intelligent transportation system (D2ITS), structure of VANET, framework of intelligent vehicle data sharing based on blockchain used for intelligent vehicle communication and decentralized autonomous vehicles (DAV) network. It also talks about the different ways the autonomous vehicles use blockchain. Block-VN distributed architecture is discussed in detail. The different challenges of research and privacy and security of vehicular network are discussed.

scholarly journals Blockchain-Based Data Sharing and Trading Model for the Connected Car

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3141
Author(s):  
Byeong-Gyu Jeong ◽  
Taek-Young Youn ◽  
Nam-Su Jho ◽  
Sang Uk Shin
Keyword(s):  
Data Sharing ◽  
Video Data ◽  
Vehicle Data ◽  
Attribute Based Encryption ◽  
Data Owner ◽  
Proposed Model ◽  
Trading Model ◽  
Efficient Data ◽  
Vehicle Networks ◽  
Smart Cars

Currently, “connected cars” are being actively designed over smart cars and autonomous cars, to establish a two-way communication network between the vehicle and all infrastructure. Additionally, because vehicle black boxes are becoming more common, specific processes for secure and efficient data sharing and transaction via vehicle networks must be developed. In this paper, we propose a Blockchain-based vehicle data marketplace platform model, along with a data sharing scheme, using Blockchain-based data-owner-based attribute-based encryption (DO-ABE). The proposed model achieves the basic requirements such as data confidentiality, integrity, and privacy. The proposed system securely and effectively handles large-capacity and privacy-sensitive black box video data by storing the metadata on Blockchain (on-chain) and encrypted raw data on off-chain (external) storage, and adopting consortium Blockchain. Furthermore, the data owners of the proposed model can control their own data by applying the Blockchain-based DO-ABE and owner-defined access control lists.

Data as infrastructure? A study of data sharing legal regimes

2019 ◽  
Vol 21 (2) ◽  
pp. 124-142 ◽  
Author(s):  
Charlotte Ducuing
Keyword(s):  
Data Sharing ◽  
Network Industries ◽  
Data Governance ◽  
The Public ◽  
Vehicle Data ◽  
Essential Facility ◽  
Physical Infrastructure ◽  
Legal Regimes ◽  
Context Specific ◽  
Different Sources

The article discusses the concept of infrastructure in the digital environment, through a study of three data sharing legal regimes: the Public Sector Information Directive (PSI Directive), the discussions on in-vehicle data governance and the freshly adopted data sharing legal regime in the Electricity Directive. While aiming to contribute to the scholarship on data governance, the article deliberately focuses on network industries. Characterised by the existence of physical infrastructure, they have a special relationship to digitisation and ‘platformisation’ and are exposed to specific risks. Adopting an explanatory methodology, the article exposes that these regimes are based on two close but different sources of inspiration, yet intertwined and left unclear. By targeting entities deemed ‘monopolist’ with regard to the data they create and hold, data sharing obligations are inspired from competition law and especially the essential facility doctrine. On the other hand, beneficiaries appear to include both operators in related markets needing data to conduct their business (except for the PSI Directive), and third parties at large to foster innovation. The latter rationale illustrates what is called here a purposive view of data as infrastructure. The underlying understanding of ‘raw’ data (management) as infrastructure for all to use may run counter the ability for the regulated entities to get a fair remuneration for ‘their’ data. Finally, the article pleads for more granularity when mandating data sharing obligations depending upon the purpose. Shifting away from a ‘one-size-fits-all’ solution, the regulation of data could also extend to the ensuing context-specific data governance regime, subject to further research.

But what do participants want? Comment on the “Data Sharing in Psychology” special section (2018).

2019 ◽  
Vol 74 (2) ◽  
pp. 245-247 ◽  
Author(s):  
Jorden A. Cummings ◽  
T. Eugene Day
Keyword(s):  
Data Sharing ◽  
Special Section
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