A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things

Wei, Jiannan; Zhu, Qinchuan; Li, Qianmu; Nie, Laisen; Shen, Zhangyi; Choo, Kim‐Kwang Raymond; Yu, Keping

doi:10.1109/jiot.2022.3162499

Cited by 41 publications

(20 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the 1980s, the impact of biotechnology and information technology has increased the complexity of technology, made R&D more difficult, increased the complexity and risk of innovation, and shortened the iteration cycle of technology and market. As a result, enterprises need more resources to support their innovation and a stronger ability to take risks and uncertainties at a later stage, and they are gradually moving from fighting alone to joining with other enterprises to form a group [13]. The phenomenon of information silos in the supply chain has increased the backlog of inventory and the difficulty of supply chain system management.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

Liu

Yao

Yu³

2023

IEEE Access

View full text Add to dashboard Cite

This paper uses blockchain technology to conduct in-depth research and analysis on enterprise cost optimization control. Based on the analysis of the status of cost control in my enterprise, the concept of target cost optimization control and specific control ideas are proposed, and the study of optimization control under target cost based on genetic algorithm is carried out in combination with the current three major controls of quality, schedule, and cost. It provides the technical basis for the realization of the target profit of the enterprise. The Optimized Scalable Byzantine Fault Tolerance (OSBFT) algorithm, which is suitable for spectrum sharing, is proposed based on PBFT (Practical Byzantine Fault Tolerance) algorithm. So, in this paper, an improved consensus algorithm OSBFT (Optimized Scalable Byzantine Fault Tolerance) is proposed based on it. The improved genetic algorithm is used to solve the objective function and verify the validity, reasonableness and applicability of the model and algorithm. It is shown that the introduction of delay cost in the multilevel inventory model reduces the total cost of the optimized model by 16.87% compared to previous studies. The algorithm reduces the consensus steps, incorporates a data synchronization mechanism, and enables nodes to join and exit consensus.

show abstract

Section: Related Workmentioning

confidence: 99%

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

Liu

Yao

Yu³

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…On the basis of analyzing the key information of each link of the rice supply chain, Wang et al [ 36 ] constructed a blockchain-based rice supply chain information supervision model and adopted a hierarchical data encryption storage model to ensure the security and privacy of data in the process of circulation and storage. Aiming to solve the problem that model updates in FL are easily tampered by malicious agents, Wei et al [ 37 ] proposed an efficient chameleon hash scheme for secure federation learning in Industrial Internet of Things. To address the security of the key used for encryption and decryption of industrial IoT data, Yu et al [ 38 ] proposed a blockchain-based threshold encryption protection scheme for IIOT data, which uses the private key of the edge gateway to protect the symmetric key.…”

Section: Related Workmentioning

confidence: 99%

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance

Zhang

Guo

Ding

et al. 2022

Sensors

View full text Add to dashboard Cite

Compared with traditional physical commodities, data are intangible and easy to leak, and the related trading process has problems, such as complex participating roles, lengthy information flow, poor supervisory coverage and difficult information traceability. To handle these problems, we construct a distributed supervision model for data trading based on blockchain, and conduct multi-party hierarchical and multi-dimensional supervision of the whole process of data trading through collaborative supervision before the event, at present and after the event. First, the characteristics of information flow in the data trading process are analyzed, and the main subject and key supervision information in the data trading process are sorted out and refined. Secondly, combined with the actual business process of data trading supervision, a multi-channel structure of distributed supervision is proposed by adopting an access–verification–traceability strategy. Finally, under the logical framework of the supervision model, the on-chain hierarchical structure and the data hybrid storage method of “on-chain + off-chain” are designed, and multi-supervisor-oriented hierarchical supervision and post-event traceability are realized through smart contracts. The results show that the constructed blockchain-based distributed supervision model of data trading can effectively isolate and protect sensitive and private information between data trading, so as to realize the whole process, multi-subject and differentiated supervision of key information of data trading, and provide an effective and feasible method for the controllable and safe supervision of data trading.

show abstract

“…Then, slicing software is utilized to slice the 3D models according to the parameters of the parts. On this basis, the computer algorithms are used to precisely connect each layer FIGURE 1: A typical example that illustrates scenarios of robust visual SLAM for additive manufacturing to form a layer stack to quickly realize the additive manufacturing of parts [16], [17]. Contemporarily, the application of additive manufacturing technology has bee more and more general in the automotive industry [18], [19],liu2022human.…”

Section: Introductionmentioning

confidence: 99%

A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes

Wen-bo

Fan

et al. 2023

IEEE Access

View full text Add to dashboard Cite

A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things

Cited by 41 publications

References 33 publications

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance

A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes

Contact Info

Product

Resources

About