基于属性加密技术的微电网电力交易系统优化与隐私保护

Kangqian Huang, Xin Hu, Rui Zhou, Dejun Xiang
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引用次数: 0

摘要

本文提出了一种有效的技术和方法,通过利用属性加密技术来应对微电网电力交易系统(MPTS)中性能优化和隐私保护的双重挑战。通过将先进的加密技术嵌入微电网的运行底层,我们引入了一种新颖的方法来显著提高能源分配的效率,同时保证参与者数据的隐私保护和完整性。该技术的核心目标是应用基于属性的加密技术(ABE),这种方法可提供细粒度访问控制,确保只有符合条件的用户才能根据其属性而非身份获得敏感信息。这样,它既能满足确保数据安全的重要要求,又不会损害电力交易系统的整体生产力。本文在 MPTS 领域提出了一种新颖的 ABE 技术,并通过大量理论分析和模拟,量化了这种集成如何带来卓越的能源资源分配和较低的运营成本。
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Optimization and privacy protection of microgrid power trading system based on attribute encryption technology
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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