Optimization of the Trust Propagation on Supply Chain Network Based on Blockchain Plus

Chen, Ling; Shan, Shiguang

doi:10.56578/jimd010103

Cited by 16 publications

(16 citation statements)

References 17 publications

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“…The design uses a store with decentralized structures to handle the shared detection rules for trustworthy mechanisms, guaranteeing scalability and offloading the trust computation to the blockchain. Implementing the approach in a lab-scale testbed showed that it works and meets the expected benchmarks for the Ethereum platform [17].…”

Section: Related Workmentioning

confidence: 83%

Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks

Siddamsetti¹,

Srivenkatesh²

2022

ISI

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Significant research has been done on combining intrusion detection and blockchain to increase data privacy and find both current and future threats. This research suggests a machine blockchain framework (MBF) in order to provide distributed intrusion detection with security and blockchain with privacy with the help of smart contracts in IoT networks. An XGBoost algorithm was implemented to work with sequential network data and the intrusion detection approach is explored using the N-BaIoT dataset. In order to protect the network against known malware threats (Mirai, Gafgyt, or Bashlite), the IoT malware attack prediction model created in this study offers a deterrent strategy based on the network traffic statistics. On the other hand, the models need to be taught to recognize new varieties of malware. In this work, we observe how different machine learning models, like Random Forest algorithm and proposed XGBoost algorithm, can accurately predict the infected malware in certain traffic instance. However, we provide a honeypot-based strategy that employs machine learning techniques for the detection of malware in this study. Using data from an IoT Botnet as a dataset helps train a machine learning model in a way that is effective and changes over time.

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Section: Related Workmentioning

confidence: 83%

Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks

Siddamsetti¹,

Srivenkatesh²

2022

ISI

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“…It seems to be easier to purchase new machines but this requires investments. However, the federal government needs support and a special state program due to technological and financial limitations [3,45].…”

Section: Discussionmentioning

confidence: 99%

“…Under modern conditions characterized by such trends as globalization [1], big data management [2], and digitalization [3], the scientific literature in the field of agriculture actively discusses the optimal conditions for the development of agriculture.…”

Section: Introductionmentioning

confidence: 99%

Impact of Digital Farming on Sustainable Development and Planning in Agriculture and Increasing the Competitiveness of the Agricultural Business

Kashina¹,

Yanovskaya²,

Fedotkina³

et al. 2022

IJSDP

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To develop agriculture, it is crucial to introduce digital farming. This is a fundamentally new management strategy based on digital technologies associated with the use of geographic information systems of global positioning, onboard computers, and smart equipment, as well as managerial and executive processes that can differentiate the methods of farming, fertilization, and adding chemical ameliorants and plant protection products. The study aims at determining the applied aspects and key components within a system of digital farming as a tool for the sustainable development of the agricultural business. The authors chose a mixed type of research, with a predominance of qualitative research methods. In particular, to collect data, the authors analyzed scientific sources on the research problem and conducted an expert survey measuring the degree of consistency of expert opinions with mathematical processing of the results obtained. It was determined that in Russia, it is necessary to consistently introduce the use of digital farming. This includes the introduction of parallel stirring, the ability to turn off the sections of the seeder on the floors, the re-equipment of crop protection sprayers to turn off the sections on the floors, and the acquisition of new equipment for differentiated fertilization. The authors conclude that the introduction of digital farming by agricultural producers is a tool for sustainable development and planning in agriculture and increasing the competitiveness of the agricultural business since it increases the economic (increased yields, reduced crop losses, increased land bank efficiency), environmental (production in risky farming areas), and social (increasing the level of personnel qualification and social standards) efficiency of their activities.

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“…Proof. We still use the previous Lyapunov function (10), and the difference of ( 10) along the closed-loop dynamic network (6) is…”

Section: Robust Control Of Complex Supply Chain System With Dual Chan...mentioning

confidence: 99%

“…In consideration of the lack of trust, uncertain demand, and information asymmetry in enterprises in the supply chain network, the authors in Ref. [6] constructed a network dynamics model of trust representation, calculation, and dissemination. Fault-tolerant control [7] and H ∞ control [8] provide ideas to solve disturbance and actuator failures of complex systems [9,10].…”

Section: Introductionmentioning

confidence: 99%

Guarantee Stability of Supply Chain with Dual Channels under Supply Failure of Goods

Fan

2023

Sustainability

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The supply chain is an extremely important and complex system, which is widely related to the social system and the management system. The hierarchical scheduling and production planning of a dynamic supply chain can enable enterprises in the supply chain to obtain, and maintain, stable and lasting competitive advantages; thus, improving the overall competitiveness of the supply chain. Simultaneously, research on supply chains is also a hotspot in system engineering. At present, research on complex supply chain systems with dual channels is insufficient, and analysis of dynamic supply chains with supply failure of goods is rare. In the epidemic era, dynamic supply chain management was affected by the epidemic and became a very challenging topic. The control of the supply chain system under the impact of an epidemic situation is particularly important. This paper focused on H∞ the fault-tolerant control of a complex supply chain system with dual channels. First, from the perspective of engineering practice and green production, we established a new green supply chain model. This supply chain model includes the dual-channel supply of goods and also considers the supply failure of goods. At the same time, production delay and supply delay are also considered in this model. Second, a supply scheduling scheme was designed through cybernetics to ensure the stability of a supply chain with dual channels under supply failure of goods, and we completed supply chain management. Finally, the effectiveness of our results was verified by specific Chinese enterprise data.

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Optimization of the Trust Propagation on Supply Chain Network Based on Blockchain Plus

Cited by 16 publications

References 17 publications

Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks

Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks

Impact of Digital Farming on Sustainable Development and Planning in Agriculture and Increasing the Competitiveness of the Agricultural Business

Guarantee Stability of Supply Chain with Dual Channels under Supply Failure of Goods

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