TY - GEN
T1 - Combating unauthorized load signal analysis with targeted event masking
AU - Nicol, Thomas D.
AU - Nicol, David M.
PY - 2012
Y1 - 2012
N2 - Privacy concerns surround the advent of frequently reported meter readings, as analysis of the load demand can reveal electrical customer behavior. Load masking is a means by which consumer might achieve obfuscating the load being metered, by using large-scale electrical storage to either meet some demand locally, or add to the load by charging. This paper considers algorithms for masking load by masking individual load changes, and evaluates their effectiveness in terms of an observer's ability to pin-point the actual change in load, when a new change is load is presented.
AB - Privacy concerns surround the advent of frequently reported meter readings, as analysis of the load demand can reveal electrical customer behavior. Load masking is a means by which consumer might achieve obfuscating the load being metered, by using large-scale electrical storage to either meet some demand locally, or add to the load by charging. This paper considers algorithms for masking load by masking individual load changes, and evaluates their effectiveness in terms of an observer's ability to pin-point the actual change in load, when a new change is load is presented.
KW - Advanced metering infrastructure
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=84857947726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857947726&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2012.161
DO - 10.1109/HICSS.2012.161
M3 - Conference contribution
AN - SCOPUS:84857947726
SN - 9780769545257
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2037
EP - 2043
BT - Proceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45
PB - IEEE Computer Society
T2 - 2012 45th Hawaii International Conference on System Sciences, HICSS 2012
Y2 - 4 January 2012 through 7 January 2012
ER -