Team for Research in
Ubiquitous Secure Technology

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-offs between the privacy-aware sampling and the desired properties of DR schemes modeled as closed-loop systems.

Electronic downloads

• PrivateSampling_v1.pdf · application/octect-stream · 552 kbytes

• 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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