A Secure Data Sharing Scheme Based on Blockchain for Industrial Internet of Things Using Consensus Algorithm

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.

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Secure Online/Offline Data Sharing Framework for Cloud-Assisted Industrial Internet of Things

IEEE Internet of Things Journal ◽

10.1109/jiot.2019.2923068 ◽

2019 ◽

Vol 6 (5) ◽

pp. 8681-8691 ◽

Cited By ~ 8

Author(s):

Yinbin Miao ◽

Qiuyun Tong ◽

Kim-Kwang Raymond Choo ◽

Ximeng Liu ◽

Robert H. Deng ◽

...

Keyword(s):

Internet Of Things ◽

Data Sharing ◽

Industrial Internet Of Things ◽

Industrial Internet

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Cooperative Approaches to Data Sharing and Analysis for Industrial Internet of Things Ecosystems

Applied Sciences ◽

10.3390/app11167547 ◽

2021 ◽

Vol 11 (16) ◽

pp. 7547

Author(s):

Henning Baars ◽

Ann Tank ◽

Patrick Weber ◽

Hans-Georg Kemper ◽

Heiner Lasi ◽

...

Keyword(s):

Internet Of Things ◽

Data Sharing ◽

Value Creation ◽

Manufacturing Industries ◽

Industrial Internet Of Things ◽

Manufacturing Environment ◽

Novel Approach ◽

Industrial Internet ◽

It Resources

The collection and analysis of industrial Internet of Things (IIoT) data offer numerous opportunities for value creation, particularly in manufacturing industries. For small and medium-sized enterprises (SMEs), many of those opportunities are inaccessible without cooperation across enterprise borders and the sharing of data, personnel, finances, and IT resources. In this study, we suggest so-called data cooperatives as a novel approach to such settings. A data cooperative is understood as a legal unit owned by an ecosystem of cooperating SMEs and founded for supporting the members of the cooperative. In a series of 22 interviews, we developed a concept for cooperative IIoT ecosystems that we evaluated in four workshops, and we are currently implementing an IIoT ecosystem for the coolant management of a manufacturing environment. We discuss our findings and compare our approach with alternatives and its suitability for the manufacturing domain.

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