Team for Research in
Ubiquitous Secure Technology

Privacy-Aware Sampling for Residential Demand Response Programs
Alvaro Cardenas, Saurabh Amin, Galina A. Schwartz

Citation
Alvaro Cardenas, Saurabh Amin, Galina A. Schwartz. "Privacy-Aware Sampling for Residential Demand Response Programs". Proceedings of the 1st International ACM Conference on High Confidence Networked Systems (HiCoNS), April, 2012.

Abstract
Deployment of Advanced Metering Infrastructures (AMIs) brings numerous new privacy concerns. The governments and standard organizations are responding to these concerns by developing guidelines and policies for AMIs. In USA, the June 2011 smart grid policy framework report examines privacy issues. In accordance with the Federal Fair Information Practice (FIP) principles, the report recommends that State and Federal regulators consider methods which ensure the protection of consumers' detailed energy usage. Recent standardization guidelines (e.g., the NISTIR 7628) and regulations by the state public utility commissions (e.g., California (Docket No. 08-12-009), Colorado (Docket No. 10R-799E)) refer to the key FIP principle of data minimization by stating that AMIs should only collect the data necessary for Smart Grid operations. Despite the fact the data minimization is acknowledged as a key requirement, the technical criteria on selection of sampling intervals in AMIs are notably absent. In this paper we approach the question of privacy-enabling design of smart meter sampling intervals for Demand-Response (DR) schemes as a Cyber-Physical System (CPS) problem. In particular, we introduce the problem of choosing the optimal sampling intervals in AMIs subject to the performance constraints of DR schemes. Our goal is to draw attention to the trade-off s between the privacy-aware sampling and the desired properties of DR schemes modeled as closed-loop systems.

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Citation formats  
  • HTML
    Alvaro Cardenas, Saurabh Amin, Galina A. Schwartz. <a
    href="http://www.truststc.org/pubs/903.html"
    >Privacy-Aware Sampling for Residential Demand Response
    Programs</a>, Proceedings of the 1st International ACM
    Conference on High Confidence Networked Systems (HiCoNS),
    April, 2012.
  • Plain text
    Alvaro Cardenas, Saurabh Amin, Galina A. Schwartz.
    "Privacy-Aware Sampling for Residential Demand Response
    Programs". Proceedings of the 1st International ACM
    Conference on High Confidence Networked Systems (HiCoNS),
    April, 2012.
  • BibTeX
    @inproceedings{CardenasAminSchwartz12_PrivacyAwareSamplingForResidentialDemandResponsePrograms,
        author = {Alvaro Cardenas and Saurabh Amin and Galina A.
                  Schwartz},
        title = {Privacy-Aware Sampling for Residential Demand
                  Response Programs},
        booktitle = {Proceedings of the 1st International ACM
                  Conference on High Confidence Networked Systems
                  (HiCoNS)},
        month = {April},
        year = {2012},
        abstract = {Deployment of Advanced Metering Infrastructures
                  (AMIs) brings numerous new privacy concerns. The
                  governments and standard organizations are
                  responding to these concerns by developing
                  guidelines and policies for AMIs. In USA, the June
                  2011 smart grid policy framework report examines
                  privacy issues. In accordance with the Federal
                  Fair Information Practice (FIP) principles, the
                  report recommends that State and Federal
                  regulators consider methods which ensure the
                  protection of consumers' detailed energy usage.
                  Recent standardization guidelines (e.g., the
                  NISTIR 7628) and regulations by the state public
                  utility commissions (e.g., California (Docket No.
                  08-12-009), Colorado (Docket No. 10R-799E)) refer
                  to the key FIP principle of data minimization by
                  stating that AMIs should only collect the data
                  necessary for Smart Grid operations. Despite the
                  fact the data minimization is acknowledged as a
                  key requirement, the technical criteria on
                  selection of sampling intervals in AMIs are
                  notably absent. In this paper we approach the
                  question of privacy-enabling design of smart meter
                  sampling intervals for Demand-Response (DR)
                  schemes as a Cyber-Physical System (CPS) problem.
                  In particular, we introduce the problem of
                  choosing the optimal sampling intervals in AMIs
                  subject to the performance constraints of DR
                  schemes. Our goal is to draw attention to the
                  trade-offs between the privacy-aware sampling and
                  the desired properties of DR schemes modeled as
                  closed-loop systems.},
        URL = {http://www.truststc.org/pubs/903.html}
    }
    

Posted by Larry Rohrbough on 23 May 2012.
Groups: trust
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