TY - JOUR
T1 - Thwarting nonintrusive occupancy detection attacks from smart meters
AU - Man, Dapeng
AU - Yang, Wu
AU - Xuan, Shichang
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2017 Dapeng Man et al.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85018713804&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018713804&partnerID=8YFLogxK
U2 - 10.1155/2017/5350201
DO - 10.1155/2017/5350201
M3 - Article
AN - SCOPUS:85018713804
SN - 1939-0114
VL - 2017
JO - Security and Communication Networks
JF - Security and Communication Networks
M1 - 5350201
ER -