下一代智能家居中电力、水和天然气计量的整体隐私
Holistic Privacy for Electricity, Water, and Natural Gas Metering in Next Generation Smart Homes
摘要：
在智能电网中，高时间粒度（HTG）功耗数据可以通过非侵入式电器负载监测技术分解为各个电器负载特征，以暴露电器使用情况。已经提出了从负载整形到噪声添加和数据聚合的各种方法来缓解这个问题。然而，随着自然资源的日益稀缺，电力以外的公用事业（如水和天然气）也开始受到HTG计量的限制，这造成了与电力类似的隐私问题。因此，仅针对电力使用采用隐私保护对策对于利用附加/其他计量资源的电器是无效的。因此，需要重新评估现有的隐私对策和指标，不仅要解决电力问题，还要解决任何其他被计量的资源问题。此外，必须对所有计量资源采用整体隐私保护方法，因为来自任何资源的信息泄漏都有可能使所有其他资源的隐私保护对策无效。本文介绍了多HTG计量资源的隐私保护问题，并探讨其缓解的潜在解决方案。
英文摘要：
In smart electricity grids, high time granularity (HTG) power consumption data can be decomposed into individual appliance load signatures via Nonintrusive Appliance Load Monitoring techniques to expose appliance usage profiles. Various methods ranging from load shaping to noise addition and data aggregation have been proposed to mitigate this problem. However, with the growing scarcity of natural resources, utilities other than electricity (such as water and natural gas) have also begun to be subject to HTG metering, which creates privacy issues similar to that of electricity. Therefore, employing privacy protection countermeasures for only electricity usage is ineffective for appliances that utilize additional/other metered resources. As such, existing privacy countermeasures and metrics need to be reevaluated to address not only electricity, but also any other resource that is metered. Furthermore, a holistic privacy protection approach for all metered resources must be adopted as the information leak from any of the resources has a potential to render the privacy preserving countermeasures for all the other resources futile. This paper introduces the privacy preservation problem for multiple HTG metered resources and explores potential solutions for its mitigation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
