期刊
IEEE COMMUNICATIONS MAGAZINE
卷 59, 期 3, 页码 24-29出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.001.2000263
关键词
Meters; Privacy; Home appliances; Electric potential; Data privacy; Smart homes; Internet of Things; Natural gas; Next generation networking
This article explores the privacy preservation problem for multiple high time granularity metered resources in smart grids, such as electricity, water, and natural gas. It emphasizes the need for reevaluating existing privacy countermeasures to address all metered resources and adopting a holistic privacy protection approach to prevent potential information leaks that could render privacy preserving countermeasures ineffective.
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 (e.g., 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 the potential to render the privacy preserving countermeasures for all the other resources futile. This article introduces the privacy preservation problem for multiple HTG metered resources and explores potential solutions for its mitigation.
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