Abstract
Smart meters can record fine-grained power consumption data and provide such data to the power supplier through realtime communications. Although smart meters can make power management more efficient and fault-tolerant, they also pose bigger threats to user privacy. Data from smart meters contain fine-grained power consumption information of home appliances and thus can be used to infer the ON/OFF states of home appliances. This problem has received some attention in the literature, however, most of them focus on active power based attacks. This paper focuses on reactive power and demonstrates how attackers can exploit reactive power data to infer appliance usage information. Experiments on real residential smart meter data show that our proposed attack can identify the ON/OFF events of home appliance with high accuracy. To protect users against such attacks, a novel defense technique called Reactive Power Obfuscation (RPO) is proposed. RPO can mask the true reactive power demand from the smart meter by using a capacitor to store and provide reactive power in a controlled manner. We evaluate the performance of RPO based on real household power consumption data. Evaluation results show that the ON/OFF events of home appliances can hardly be revealed from reactive power data when RPO is applied.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 13-24 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781538605417 |
| DOIs | |
| State | Published - Aug 30 2017 |
| Event | 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 - Denver, United States Duration: Jun 26 2017 → Jun 29 2017 |
Publication series
| Name | Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 |
|---|
Other
| Other | 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 6/26/17 → 6/29/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality
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