Fengyi: Trusted Data Sharing in VANETs with Blockchain

2020 ◽  
Author(s):  
Chen Zeng ◽  
Yifan Wang ◽  
Fan Liang ◽  
Xiaohui Peng
Keyword(s):  
Data Sharing ◽  
Trusted Data

scholarly journals Blockchain‐based trusted data sharing among trusted stakeholders in IoT

2019 ◽  
Author(s):  
Peichang Shi ◽  
Huaimin Wang ◽  
Shangzhi Yang ◽  
Chang Chen ◽  
Wentao Yang
Keyword(s):  
Data Sharing ◽  
Trusted Data

scholarly journals Decentralized Trusted Data Sharing Management on Internet of Vehicle Edge Computing (IoVEC) Networks Using Consortium Blockchain

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2410
Author(s):  
Muhammad Firdaus ◽  
Sandi Rahmadika ◽  
Kyung-Hyune Rhee
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Traffic Safety ◽  
Network Performance ◽  
Intelligent Transportation System ◽  
Edge Computing ◽  
The Internet ◽  
Smart Vehicles ◽  
The Incentive Mechanism ◽  
Trusted Data

The emergence of the Internet of Vehicles (IoV) aims to facilitate the next generation of intelligent transportation system (ITS) applications by combining smart vehicles and the internet to improve traffic safety and efficiency. On the other hand, mobile edge computing (MEC) technology provides enormous storage resources with powerful computing on the edge networks. Hence, the idea of IoV edge computing (IoVEC) networks has grown to be an assuring paradigm with various opportunities to advance massive data storage, data sharing, and computing processing close to vehicles. However, the participant’s vehicle may be unwilling to share their data since the data-sharing system still relies on a centralized server approach with the potential risk of data leakage and privacy security. In addition, vehicles have difficulty evaluating the credibility of the messages they received because of untrusted environments. To address these challenges, we propose consortium blockchain and smart contracts to accomplish a decentralized trusted data sharing management system in IoVEC. This system allows vehicles to validate the credibility of messages from their neighboring by generating a reputation rating. Moreover, the incentive mechanism is utilized to trigger the vehicles to store and share their data honestly; thus, they will obtain certain rewards from the system. Simulation results substantially display an efficient network performance along with forming an appropriate incentive model to reach a decentralized trusted data sharing management of IoVEC networks.

scholarly journals Towards a Trusted and Unified Consortium-Blockchain-Based Data Sharing Infrastructure for Open Learning—TolFob Architecture and Implementation

2021 ◽  
Vol 13 (24) ◽  
pp. 14069
Author(s):  
Jun Xiao ◽  
Yi Jiao ◽  
Yin Li ◽  
Zhujun Jiang
Keyword(s):  
Information Systems ◽  
Data Sharing ◽  
Educational Institutions ◽  
Production Environment ◽  
Open Learning ◽  
Integration Framework ◽  
Heterogeneous Information ◽  
Management Application ◽  
Trusted Data ◽  
Test Result

Open learning is now facing a complex higher education ecosystem that involves a variety of heterogeneous information systems and comprises decentralized stakeholders, such as universities, professors, students, and software vendors. Authentic, non-repudiable, and fast available data sharing among open learning information systems and stakeholders is a key issue that remains unresolved. To solve this problem, this paper proposes a consortium blockchain extended architecture featuring integration and cross-chain functions to provide a unified and trusted data-sharing infrastructure for open learning. The overall architecture consists of three elements: a blockchain-integrated open learning scenario schema; a blockchain-integrated open learning application model; and a pragmatic blockchain integration framework. The proposed blockchain integration framework is implemented based on Hyperledger Fabric 1.4. A trusted open-learning behavior and achievement management application is developed as a proof-of-concept which integrates two educational institutions’ four productional learning systems into a blockchain network and has stably run over six months. A suite of experiments is designed and executed to verify our blockchain system’s viability and scalability. The test result shows the implementation of the blockchain system is competent for the production environment and outperforms related works investigated. However, it does have limitations and optimization potential, which will be studied in the future.

Terrorism and Counterterrorism

2019 ◽  
pp. 639-658
Author(s):  
Juliette Bird
Keyword(s):  
Civil Society ◽  
Data Sharing ◽  
Small Groups ◽  
Terrorist Attacks ◽  
Top Down ◽  
Regional Organizations ◽  
New Thinking ◽  
Underlying Causes ◽  
Trusted Data

Terrorists force us to change long-established lifestyles. The reactions of civil society, nations, regional organizations and the UN constitute a broad-ranging counterterrorism effort. Relations between civil groups and governments can be tricky for both sides but are essential; nations must provide public reassurance, avoid alienating society or reinforcing stereotypes, and tackle both terrorist attacks and their underlying causes. Small groups of nations or regional organizations struggle to avoid duplication and ensure coordination. Practical results can be hard to assess. The UN, burdened by multitudinous bodies and relationships, finds implementation uphill work. Promisingly, the bottom-up (civil society) approach is now meeting the global top-down (UN) drive. The future should bring not only incremental improvements but new thinking to meet long-term challenges including trusted data-sharing, metrics for projects, matching needs and offers of support and, importantly, societal awareness of the deeper issues surrounding terrorism.

A Methodology of Trusted Data Sharing across Telecom and Finance Sector under China’s Data Security Policy

2021 ◽  
Author(s):  
Yuxin Liang ◽  
Zhiyong Liu ◽  
Yong Song ◽  
Aidong Yang ◽  
Xiaozhou Ye ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Security ◽  
Security Policy ◽  
Trusted Data

scholarly journals A Modular Task Orientated Approach for the Analysis of Large Datasets

2019 ◽  
Author(s):  
Paul John Palmer ◽  
Michael J. de C Henshaw ◽  
Russell Lock
Keyword(s):  
Data Sharing ◽  
Academic Research ◽  
Secondary Data ◽  
Large Data ◽  
Large Datasets ◽  
Wide Range ◽  
Source Data ◽  
Trusted Data ◽  
Downstream Analysis ◽  
Social Applications

We introduce a novel conceptual framework using task orientated templates, for the analysis of large data that effectively separates: data curation, analysis, and reporting of large datasets, creating a reproducible analysis. Outputs saved include calculated secondary data, with associated metadata capturing all the transformations that have been applied, to provide an auditable connection to the source data. Data sharing is encouraged by many research funders and academic publishers, but supplying provenance is not mandatory. Enhancing data sharing will benefit many sectors as the pool of trusted data increases and is used with confidence in downstream analysis. While such benefits are likely to initially impact academic research due to active encouragement of data sharing, business intelligence processes will also benefit through increased confidence of source data. Using task orientated templates will allow a more structured approach to data analysis, and facilitate reuse of data through the use of verifiable digital signatures. This template based approach will reduce the programmatic skills required for the analysis large data for a wide range of commercial, academic and social applications on desktop computers.

scholarly journals A Self-Assembling Blockchain-Based Database in Global Data Sharing of SARS-CoV-2

2021 ◽  
Author(s):  
Hedieh Sajedi ◽  
Fatemeh Mohammadipanah ◽  
Melika Davoodzadeh
Keyword(s):  
Data Sharing ◽  
High Performance ◽  
Test Results ◽  
Healthcare Data ◽  
Blockchain Technology ◽  
Self Assembling ◽  
Potential Applications ◽  
Data Points ◽  
Rapid Transmission ◽  
Trusted Data

Abstract Background The year 2020 has been through the occurrence of a pandemic caused by a virus known as SARS-CoV-2. The uncontrolled worldwide spread of COVID-19 and the rapid transmission of this virus lead to more and more cases, which results in a massive data stream. Each day a new set of data points are being reported regarding the number of positive test results, patients hospitalized, deaths, ventilator shortages, etc. This paper reviews Blockchain technology principles that suit it for data sharing of the pandemic and highlights the potential applications and opportunities in allying this form of data deposition and sharing for combating the COVID-19 pandemic. Results Blockchain has potential application in rapid data sharing of COVID-19 associated data. Data sharing using Blockchain is among the most influencing and practical approaches that healthcare data management can utilize to be more efficacious. Despite Blockchain robustness, it still has limitations that need to be considered in this paper. Conclusions The key concept of Blockchain technology is decentralization, which provides high performance and security for records stored on the net. Moreover, Blockchain is accessible to every participating block in the network. As a result, Blockchain can play an important role in storing and sharing medical records by giving global secure access to trusted data.

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