A user-friendly attribute-based data access control scheme for smart grids

Mu, Tianshi; Lai, Yuyang; Feng, Guocong; Lyu, Huahui; Yang, Hang

doi:10.1016/j.aej.2022.12.041

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Each with a given importance -the ease with which the system could be used, the level to which privacy was guaranteed, and the overall comfort compared to the existing electrical grid. User feedback from these surveys will provide valuable insight into the project's strengths and weaknesses, and when coupled with quantitative metrics derived from system performance, will help draw a clear picture of the system's potential use and relevance [20].…”

Section: Methodology For Evaluating the System's Performancementioning

confidence: 99%

Optimization and privacy protection of microgrid power trading system based on attribute encryption technology

Huang,

Hu,

Zhou

et al. 2024

EAI Endorsed Trans Energy Web

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This paper presents an effective technique and approach to deal with the dual challenges of performance optimization and privacy protection in microgrid power trading systems (MPTS) by utilizing attribute encryption technology. By embedding advanced cryptographic techniques into the operational substrate of microgrids, we introduce a novel approach to dramatically enhance the efficiency of energy distribution, while guaranteeing the privacy protection and integrity of participant data. The core objective of this technique is the application of attribute-based encryption (ABE), a method that offers fine-grained access control, ensuring sensitive information is made available only to eligible users based on their attributes, rather than their identities. In doing so, it meets the important requirement of securing data, without impairing the overall productivity of a power trading system. This paper presents a novel technique of ABE in the domain of MPTS, but also quantifies, through extensive theoretical analysis and simulations, how this integration leads to superior energy resource allocation and lower operational costs.

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Section: Methodology For Evaluating the System's Performancementioning

confidence: 99%