Blockchain-Driven Trusted Data Sharing with Privacy-Protection in IoT Sensor Network

2020 ◽  
pp. 1-1
Author(s):  
Ma Zhaofeng ◽  
Wang Lingyun ◽  
Zhao Weizhe
Keyword(s):  
Sensor Network ◽  
Data Sharing ◽  
Privacy Protection ◽  
Trusted Data

Cloud platform wireless sensor network detection system based on data sharing

2018 ◽  
Vol 22 (S6) ◽  
pp. 14157-14168 ◽  
Author(s):  
Shuo Xiao ◽  
Tianxu Li ◽  
Bin Guo ◽  
Zhenzhen Huang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Sharing ◽  
Detection System ◽  
Wireless Sensor ◽  
Cloud Platform

Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing

2020 ◽  
Vol 8 (4) ◽  
pp. 1274-1283 ◽  
Author(s):  
Min Chen ◽  
Yongfeng Qian ◽  
Jing Chen ◽  
Kai Hwang ◽  
Shiwen Mao ◽  
...  
Keyword(s):  
Data Sharing ◽  
Privacy Protection ◽  
Medical Data

A Adaptive Wireless Sensor Networks for Marine Monitoring

2012 ◽  
Vol 542-543 ◽  
pp. 169-178
Author(s):  
Dong Hong Yang ◽  
Ji Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Acquisition ◽  
Sensor Network ◽  
Data Sharing ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Energy Efficient Routing

The real-time online offshore monitoring system based on wireless sensor network has been designed.It successfully applied wireless sensor network technology to the field of ocean environmental monitoring system.The system is an automatic monitoring system without manual involvement,which runs automatically by the program from the data collection nodes import to the sink node through the communication nodes. The handheld sink has a slick looking interface.It is an offshore wireless sensor networks which can be set up flexibly and can monitor the changes of temperature,light intensity ,PH, dissolved oxygen and other parameters.The system is composed of three main components including data acquisition subsystem,data transmission control subsystem and data sharing subsystem.The subsystems are responsible for monitoring data collection,information transmission processing,data sharing ,and information service.This paper described the architecture of the entire system and the implementation of each module in details,especially the implementation of data acquisition subsystem including hardware packaging,software designing and environmental configuration.Through analyzing of telos node hardware and the energy status of routing protocols,it proposes energy-saving solutions based on energy-efficient routing and radio dormancy strategy. The system has been running for more than one year.It has been proved that the system is energy-saving.It has made an important impact on ocean ography.

scholarly journals Towards quantitative evaluation of privacy protection schemes for electricity usage data sharing

ICT Express ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Daisuke Mashima ◽  
Aidana Serikova ◽  
Yao Cheng ◽  
Binbin Chen
Keyword(s):  
Data Sharing ◽  
Quantitative Evaluation ◽  
Privacy Protection ◽  
Usage Data

scholarly journals Balancing Privacy and Utility in Secondary Data Use to Inform Policy

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Xinjie Cui ◽  
Robyn Blackadar
Keyword(s):  
Data Sharing ◽  
Data Security ◽  
Privacy Protection ◽  
Human Subjects ◽  
Scientific Discovery ◽  
Data Use ◽  
Secondary Data ◽  
Governance Structure ◽  
Information Privacy ◽  
Community Research

ABSTRACT ObjectivesUsing existing data for research can generate new knowledge and evidence for policy with relatively little cost. Privacy concerns are paramount in such secondary usage of data collected on human subjects. Information privacy protection and data security are critical considerations in reuse and repurposing of data especially linked data, longitudinal data, and large amounts of data. Data sharing and privacy protection are both in the public interest and we need to assess the risk of “doing” (sharing) as well as the risk of “not doing” (not sharing or not protecting).    ApproachThe Alberta Centre for Child Family and Community Research (the Centre) establishes the Child Youth Data Lab that links and analyzes administrative data from multiple provincial ministries and the Child Data Centre of Alberta that repurposes research data and manages its access for reuse. The Centre partners with provincial Office of the Information Privacy Commissioner, Research Ethics Boards and leaders in the research communities and technology industry to design and develop measures to enable secondary use while safeguarding the data, and to explore and adopt best practices on data sharing processes, governance, and technologies. ResultsIn principle current privacy laws and regulations provide good guidance in collection, use, and disclosure of data, however there is a lack of consistency in the interpretation of these laws at the operational level with regard to secondary data use. The experiences of establishing different data sharing models at the Centre through multiple initiatives are discussed. Cross-sectoral broad partnership brings understanding and builds trusting relationships, which are crucial to establishing data sharing processes. The recognition of the significance of secondary data use to provide direction for policy and program development at the executive level provides commitment for data sharing initiatives. Strong governance structure consists multi-level ministry and multiple stakeholder involvement ensures ongoing support and engagement. The highest data security standards and anonymous solution for data linkage enables the sharing of data with good privacy protection. ConclusionSecondary use of data to improve system performance and contributing to scientific discovery has been broadly recognized. A balance between utility and privacy can be realized through broad partnership in building proper governance, technology, processes and policies.

scholarly journals Optimized Design of Mechanical Chain Drive Based on a Wireless Sensor Network Data Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Min Zhuang ◽  
Ge Li ◽  
Kexin Ding ◽  
Guansheng Xu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Data ◽  
Optimized Design ◽  
Chain Drive ◽  
Scraper Conveyor ◽  
Assisted Gps ◽  
Gps Localization ◽  
Trusted Data

In this paper, we use a wireless sensor network data algorithm to optimize the design of mechanical chain drive by conducting an in-depth study of the mechanical chain drive optimization. We utilize the crowdsourcing feature of the swarm-wise sensing network for assisted wireless sensor networking to achieve crowdsourcing-assisted localization. We consider a framework for crowdsourcing-assisted GPS localization of wireless sensor networks and propose two recruitment participant optimization objectives, namely, minimum participants and time efficiency, respectively. A model and theoretical basis are provided for the subsequent trusted data-driven participant selection problem in swarm-wise sensing networks. The sprocket-chain engagement frequency has the greatest influence on the horizontal bending-vertical bending composite in different terrain conditions. The dynamic characteristics under working conditions are most influenced, while the scraping of the scraper and the central groove significantly influenced horizontal bending and vertical bending. Under load conditions, the amplitude of the scraper and central groove scraping increases significantly, which harm the dynamics of the scraper conveyor. By monitoring the speed difference between the head and tail sprockets and the overhang of the scraper, the tensioning status of the scraper conveyor chain can be effectively monitored to avoid chain jamming and chain breakage caused by the loose chain, thus improving the reliability and stability of the scraper conveyor.

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

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