Name
Abstract | ||
|---|---|---|
Occupancy information is one of themost important privacy issues of a home. Unfortunately, an attacker is able to detect occupancy from smart meter data. The current battery-based load hiding (BLH) methods cannot solve this problem. To thwart occupancy detection attacks, we propose a framework of battery-based schemes to prevent occupancy detection (BPOD). BPOD monitors the power consumption of a home and detects the occupancy in real time. According to the detection result, BPOD modifies those statistical metrics of power consumption, which highly correlate with the occupancy by charging or discharging a battery, creating a delusion that the home is always occupied. We evaluate BPOD in a simulation using several real-world smart meter datasets. Our experiment results show that BPOD effectively prevents the threshold-based and classifier-based occupancy detection attacks. Furthermore, BPOD is also able to prevent nonintrusive appliance load monitoring attacks (NILM) as a side-effect of thwarting detection attacks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1155/2017/5350201 | SECURITY AND COMMUNICATION NETWORKS |
Field | DocType | Volume |
Metre,Computer security,Computer science,Occupancy,Smart meter,Battery (electricity),Classifier (linguistics),Power consumption,Embedded system | Journal | 2017 |
ISSN | Citations | PageRank |
1939-0114 | 1 | 0.35 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dapeng Man | 1 | 29 | 10.54 |
| Yang Wu | 2 | 69 | 22.62 |
| Shichang Xuan | 3 | 7 | 4.14 |
| X. Du | 4 | 2320 | 241.73 |