An approximately truthful mechanism for electric vehicle charging via joint differential privacy

Shuo Han, U. Topcu, George J. Pappas
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引用次数: 14

Abstract

In electric vehicle (EV) charging, the goal is to compute a charging schedule that meets all user specifications while minimizing the influence on the power grid. Usually, an optimal schedule is computed by a central authority (called mediator) according to the specifications reported by the users. A desirable property of this procedure is to ensure that participating users truthfully report their specifications rather than maliciously manipulate the scheduling process by misreporting. In this work, we show that approximate truthfulness can be attained by adopting the popular notion of (joint) differential privacy. Joint differential privacy can limit the power of each user in manipulating the scheduling process by remaining insensitive to changes in user specifications. As a result, a user does not benefit much from misreporting his specifications, which leads to truth-telling behaviors.
基于联合差分隐私的近似真实的电动汽车充电机制
在电动汽车(EV)充电中,目标是计算一个满足所有用户规范的充电计划,同时将对电网的影响降到最低。通常,最优调度由中央机构(称为中介者)根据用户报告的规范计算。这个过程的一个理想特性是确保参与的用户如实报告他们的规格,而不是恶意地通过错误报告来操纵调度过程。在这项工作中,我们证明了近似的真实性可以通过采用(联合)差分隐私的流行概念来获得。联合差分隐私可以通过对用户规格的变化保持不敏感来限制每个用户操纵调度过程的能力。因此,用户不会从错误报告他的规格中得到多少好处,这会导致说真话的行为。
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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