Privacy computing technology in the context of energy Internet

Yue Gong, Cuiyun Chen, Zhiyuan Liu
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Abstract

The power system and other energy systems are constantly cross-integrated, and a new development direction of multi-subject collaboration is gradually formed. Starting from the typical mode of energy Internet collaborative optimization, this paper puts forward a preliminary technical scheme for energy Internet collaborative optimization considering privacy protection. Aiming at the scenario without a third party, this paper proposes a secure multi-party interactive computing scheme based on the principle of secret sharing, and analyzes the specific characteristics of the scheme when applied to a small number of subject scenarios based on the fully distributed application architecture. Finally, from the aspects of data privacy and computing security, the proposed scheme protects the rights and interests of data owners, reduces the risk of data leakage in energy Internet collaborative optimization computing, and realizes reliable privacy protection.
能源互联网环境下的隐私计算技术
电力系统与其他能源系统不断交叉融合,逐步形成多主体协作的新发展方向。从能源互联网协同优化的典型模式出发,提出了一种考虑隐私保护的能源互联网协同优化的初步技术方案。针对没有第三方的场景,本文提出了一种基于秘密共享原理的安全多方交互计算方案,并基于全分布式应用架构,分析了该方案应用于少量主体场景时的具体特点。最后,从数据隐私和计算安全方面,本方案保护了数据所有者的权益,降低了能源互联网协同优化计算中数据泄露的风险,实现了可靠的隐私保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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