Smart meter privacy based on adversarial hypothesis testing
File(s)
Accepted version
Author(s)
Li, Z
Oechtering, T
Gunduz, D
Type
Conference Paper
Abstract
Privacy-preserving energy management is studied in
the presence of a renewable energy source. It is assumed that
the energy demand/supply from the energy provider is tracked
by a smart meter. The resulting privacy leakage is measured
through the probabilities of error in a binary hypothesis test,
which tries to detect the consumer behavior based on the meter
readings. An optimal privacy-preserving energy management
policy maximizes the minimal Type II probability of error subject
to a constraint on the Type I probability of error. When the
privacy-preserving energy management policy is based on all
the available information of energy demands, energy supplies,
and hypothesis, the asymptotic exponential decay rate of the
maximum minimal Type II probability of error is characterized
by a divergence rate expression. Two special privacy-preserving
energy management policies, the memoryless hypothesis-aware
policy and the hypothesis-unaware policy with memory, are then
considered and their performances are compared. Further, it
is shown that the energy supply alphabet can be constrained
to the energy demand alphabet without loss of optimality for
the evaluation of a single-letter-divergence privacy-preserving
guarantee.
the presence of a renewable energy source. It is assumed that
the energy demand/supply from the energy provider is tracked
by a smart meter. The resulting privacy leakage is measured
through the probabilities of error in a binary hypothesis test,
which tries to detect the consumer behavior based on the meter
readings. An optimal privacy-preserving energy management
policy maximizes the minimal Type II probability of error subject
to a constraint on the Type I probability of error. When the
privacy-preserving energy management policy is based on all
the available information of energy demands, energy supplies,
and hypothesis, the asymptotic exponential decay rate of the
maximum minimal Type II probability of error is characterized
by a divergence rate expression. Two special privacy-preserving
energy management policies, the memoryless hypothesis-aware
policy and the hypothesis-unaware policy with memory, are then
considered and their performances are compared. Further, it
is shown that the energy supply alphabet can be constrained
to the energy demand alphabet without loss of optimality for
the evaluation of a single-letter-divergence privacy-preserving
guarantee.
Date Issued
2017-08-15
Date Acceptance
2017-04-01
Citation
2017
Publisher
IEEE
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
EP/N021738/1
Source
IEEE Int’l Symposium on Information Theory (ISIT) 2017
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
SIGNATURES
Publication Status
Published
Start Date
2017-06-25
Finish Date
2017-06-30
Coverage Spatial
Aachen, Germany
Date Publish Online
2017-08-15