Game theory attack pricing for mining pools in blockchain-based IoT

Chen, Yourong; Chen, Hao; Xiong, Zhenyu; Liu, Banteng; Wang, Zhangquan; Han, Meng

doi:10.1016/j.dcan.2022.11.014

Cited by 1 publication

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of the mining industry also brings problems such as ecological environment perturbation, land damage, water pollution and shortages, and mining geological impacts [1][2][3][4]. Mining industries around the world are plagued by environmental problems associated with the extraction and utilization of mineral resources, as well as economic problems caused by resource depletion [5,6]. Western countries have established legislation to regulate and improve the development and production processes of enterprises to achieve sustainable development.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

Luo

et al. 2023

Sustainability

View full text Add to dashboard Cite

China proposes to construct green mines as one of the significant means to elevate the green degree of mining industry and protect the mining environment. This paper constructs six evaluation indicators, namely mine environment, Resource development mode, Comprehensive utilization of resources, Energy conservation and emission reduction, Technological innovation and digital mining, Enterprise management and corporate image, to reflect green degree of mining firms. An improved multiattribute evaluation method (MAEM) is proposed based on hesitant fuzzy TOPSIS and kernel method. A case study of green mining firms in Panxi, southwestern China is provided to demonstrate the application of the proposed model. According to the research in this paper, it is more appropriate to expand the data in accordance with the optimistic criteria. The results also show that the improved hesitant fuzzy TOPSIS is a better method in the evaluation of green degree. Through the results of this paper, a reasonable and scientific method is introduced for the evaluation of the green degree of mining firms, and it can be promoted to the evaluation of the mineral resource development efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

Luo

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Game theory attack pricing for mining pools in blockchain-based IoT

Cited by 1 publication

References 24 publications

An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

Contact Info

Product

Resources

About