论文标题
隐私友好的点对点能源交易：一种游戏理论方法
Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach
论文作者
论文摘要
在本文中，我们提出了一个基于游戏理论方法的分散，对隐私友好的能源交易平台（PFET） - 特别是Stackelberg竞争。与现有的交易计划不同，PFET提供了一个竞争性市场，在该市场中，价格和需求是根据竞争来确定的，并且以分散的方式进行计算，而不依赖可信赖的第三方。它使用同态加密密码系统来对买卖双方（例如卖家$'$'$'$'$'$'$'$'需求等敏感信息加密敏感信息。买家使用加密数据计算特定卖方的总需求，而敏感的买方资料数据已隐藏在卖方中。因此，保留了卖方和买家的隐私。通过隐私分析和绩效评估，我们表明PFET可以有效地保留用户$'$'$隐私。
In this paper, we propose a decentralized, privacy-friendly energy trading platform (PFET) based on game theoretical approach - specifically Stackelberg competition. Unlike existing trading schemes, PFET provides a competitive market in which prices and demands are determined based on competition, and computations are performed in a decentralized manner which does not rely on trusted third parties. It uses homomorphic encryption cryptosystem to encrypt sensitive information of buyers and sellers such as sellers$'$ prices and buyers$'$ demands. Buyers calculate total demand on particular seller using an encrypted data and sensitive buyer profile data is hidden from sellers. Hence, privacy of both sellers and buyers is preserved. Through privacy analysis and performance evaluation, we show that PFET preserves users$'$ privacy in an efficient manner.
