Privacy of smart meter systems with an alternative energy source
Privacy of smart meter systems with an alternative energy source
复制标题
使用替代能源的智能电表系统的隐私
DOI：
10.1109/isit.2013.6620691
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Deniz Gündüz
中科院分区：
文献类型：
--
作者：
J. Gómez;Deniz Gündüz
智能电表（SM）测量向公用事业提供商（UP）提供用户用电量的近实时信息。该数据可用于提取有关用户能源消耗模式的私人信息。假设用户除接入电网外还接入替代能源（AES），从信息论的角度研究短信隐私问题。用户（输入负载）在每个时刻的能量需求既可以由电网（输出负载）满足，也可以由AES满足。假设UP可以完美跟踪输出负载，并通过信息泄漏率来测量隐私。对于给定的AES平均和峰值功率约束，定义了隐私功率函数，并证明了其与具有差分失真度量的率失真函数的等价性。针对连续输入负载，给出AES仅存在峰值功率限制时的隐私功率函数特征，并给出一般情况下的香农下界。对于指数输入分布，该界是可以实现的。
Smart meter (SM) measurements provide near realtime information on the electricity consumption of a user to the utility provider (UP). This data can be used to extract private information on the energy consumption patterns of the user. Assuming that the user has access to an alternative energy source (AES) in addition to the power grid, SM privacy problem is studied from an information theoretic perspective. The energy requirement of the user (input load) at each time instant can be satisfied either from the power grid (output load) or from the AES. It is assumed that the output load can be perfectly tracked by the UP, and the privacy is measured through the information leakage rate. For given average and peak power constraints on the AES, privacy-power function is defined, and its equivalence to the rate-distortion function with a difference distortion measure is shown. Focusing on continuous input loads, the privacy-power function is characterized when there is only peak power limitation on the AES, while the Shannon lower bound is provided for the general case. The bound is shown to be achievable for the exponential input distribution.