论文标题
优化基于分布式信任的匿名聚合系统中的智能网格聚合器和测量隐私度
Optimizing Smart Grid Aggregators and Measuring Degree of Privacy in a Distributed Trust Based Anonymous Aggregation System
论文作者
论文摘要
智能网格是一种向消费者提供电力的高级方法，以减轻现有系统的局限性。它导致频繁的仪表读数从最终用户到供应商。这种频繁的数据传输构成隐私风险。已经提出了几项工作来解决此问题，但不能确保在最佳层面上进行隐私。这项工作基于利用秘密共享机制的基于分布式信任的数据聚合系统。在这项工作中，我们表明{\ em三聚合剂}足以确保在基于分布式信任的系统中消费者的隐私。我们在研究中利用匿名的想法，并表明主动攻击者和被动攻击者都无法违反消费者的隐私。我们在数学上和基于加密游戏的机制中展示了我们的概念证明。我们将新建议的系统命名\ emph {“基于分布式信任的匿名系统（DTBA）”}。
A smart grid is an advanced method for supplying electricity to the consumers alleviating the limitations of the existing system. It causes frequent meter reading transmission from the end-user to the supplier. This frequent data transmission poses privacy risks. Several works have been proposed to solve this problem but cannot ensure privacy at the optimal level. This work is based on a distributed trust-based data aggregation system leveraging a secret sharing mechanism. In this work, we show that {\em three aggregators} are enough for ensuring consumer's privacy in a distributed trust-based system. We leverage the idea of anonymity in our research and show that neither an active attacker nor a passive attacker can breach consumer's privacy. We show proof of our concept mathematically and in a cryptographic game based mechanism. We name our new proposed system \emph{"Distributed Trust Based Anonymous System (DTBAS)"}.
