Privacy Preserving and Collusion Resistant Energy Sharing
Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu

TL;DR
This paper introduces a privacy-preserving scheme for energy sharing among microgrids, ensuring secure communication and resistance to collusion, thereby protecting sensitive local data during energy exchange.
Contribution
It proposes a novel secure communication protocol that maintains privacy and resists collusion in microgrid energy sharing scenarios.
Findings
Ensures quantified privacy leakage during sharing.
Handles collusions effectively.
Provides secure energy sharing protocols.
Abstract
Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and householdes) via solar panels, wind turbines or local generators in the past decade. With local energy, such electricity consumers can be considered as "microgrids" which can simulataneously generate and consume energy. Some microgrids may have excessive energy that can be shared to other power consumers on the grid. To this end, all the entities have to share their local private information (e.g., their local demand, local supply and power quality data) to each other or a third-party to find and implement the optimal energy sharing solution. However, such process is constrained by privacy concerns raised by the microgrids. In this paper, we propose a privacy preserving scheme for all the microgrids which can securely implement their energy sharing against both…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Wireless Communication Security Techniques
