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Title Asymmetric Confidentiality in Blockchain Embedded Smart Grids in Galois Field
ID_Doc 44575
Authors Banerjee, B; Jani, A; Shah, N
Title Asymmetric Confidentiality in Blockchain Embedded Smart Grids in Galois Field
Year 2021
Published
DOI 10.3389/fbloc.2021.770074
Abstract Economic growth requires a sharp increase in the utilization of energy. Since the initial mechanical era, financial development has been driven by industrialization, transportation, and, most important of all, electrification, majorly achieved by petroleum product ignition. This way of development has had malicious and abusive aftershocks on the environment since the beginning. Smart grids are an idea to slightly diminish the burden on our Mother Nature, but this idea is getting tainted by the anticipation of ferocious technophiles who may try to get the grid down using quantum computers in the coming years. Thus, security becomes one of the major concerns for the smart grid. In this paper, we propose a quantum-resistant framework for associating smart grids and blockchain embedded with a permutation-substitution-based public-key cryptosystem in Galois Field to prevent unauthorized access and perform encryption of the private information of the user and consumption statistics. Permutation and substitution are performed to increase the diffusion and confusion of the data. Expenditures are quantified from the dissipation particulars, and the payment of electricity bill is performed using our blockchain wallet. The prediction model of consumption data is generated availing stochastic gradient descent. The performance analysis of the proposed cryptosystem is predicted after a simulation of the smart grid.
Author Keywords blockchain; smart grid; cryptography and smart city; quantum computing; simulation
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000732817000001
WoS Category Computer Science, Information Systems; Computer Science, Interdisciplinary Applications
Research Area Computer Science
PDF https://www.frontiersin.org/articles/10.3389/fbloc.2021.770074/pdf
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