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    Rights statement: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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A privacy preserving approach to energy theft detection in smart grids

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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A privacy preserving approach to energy theft detection in smart grids. / Richardson, C.; Race, N.; Smith, P.
2016 IEEE International Smart Cities Conference (ISC2). IEEE, 2016. p. 1-4 (Smart Cities Conference (ISC2), 2016 IEEE International).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Richardson, C, Race, N & Smith, P 2016, A privacy preserving approach to energy theft detection in smart grids. in 2016 IEEE International Smart Cities Conference (ISC2). Smart Cities Conference (ISC2), 2016 IEEE International, IEEE, pp. 1-4. https://doi.org/10.1109/ISC2.2016.7580882

APA

Richardson, C., Race, N., & Smith, P. (2016). A privacy preserving approach to energy theft detection in smart grids. In 2016 IEEE International Smart Cities Conference (ISC2) (pp. 1-4). (Smart Cities Conference (ISC2), 2016 IEEE International). IEEE. https://doi.org/10.1109/ISC2.2016.7580882

Vancouver

Richardson C, Race N, Smith P. A privacy preserving approach to energy theft detection in smart grids. In 2016 IEEE International Smart Cities Conference (ISC2). IEEE. 2016. p. 1-4. (Smart Cities Conference (ISC2), 2016 IEEE International). doi: 10.1109/ISC2.2016.7580882

Author

Richardson, C. ; Race, N. ; Smith, P. / A privacy preserving approach to energy theft detection in smart grids. 2016 IEEE International Smart Cities Conference (ISC2). IEEE, 2016. pp. 1-4 (Smart Cities Conference (ISC2), 2016 IEEE International).

Bibtex

@inproceedings{2acc2232c99449a0832c73b6f08e527f,
title = "A privacy preserving approach to energy theft detection in smart grids",
abstract = "A major challenge for utilities is energy theft, wherein malicious actors steal energy for financial gain. One such form of theft in the smart grid is the fraudulent amplification of energy generation measurements from DERs, such as photo-voltaics. It is important to detect this form of malicious activity, but in a way that ensures the privacy of customers. Not considering privacy aspects could result in a backlash from customers and a heavily curtailed deployment of services, for example. In this short paper, we present a novel privacy-preserving approach to the detection of manipulated DER generation measurements.",
keywords = "Cryptography, Energy measurement, Euclidean distance, Geospatial analysis, Privacy, Smart grids, Smart meters, Detection, Energy theft, Smart grid, Smart metering",
author = "C. Richardson and N. Race and P. Smith",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = sep,
day = "1",
doi = "10.1109/ISC2.2016.7580882",
language = "English",
isbn = "9781509018475",
series = "Smart Cities Conference (ISC2), 2016 IEEE International",
publisher = "IEEE",
pages = "1--4",
booktitle = "2016 IEEE International Smart Cities Conference (ISC2)",

}

RIS

TY - GEN

T1 - A privacy preserving approach to energy theft detection in smart grids

AU - Richardson, C.

AU - Race, N.

AU - Smith, P.

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/9/1

Y1 - 2016/9/1

N2 - A major challenge for utilities is energy theft, wherein malicious actors steal energy for financial gain. One such form of theft in the smart grid is the fraudulent amplification of energy generation measurements from DERs, such as photo-voltaics. It is important to detect this form of malicious activity, but in a way that ensures the privacy of customers. Not considering privacy aspects could result in a backlash from customers and a heavily curtailed deployment of services, for example. In this short paper, we present a novel privacy-preserving approach to the detection of manipulated DER generation measurements.

AB - A major challenge for utilities is energy theft, wherein malicious actors steal energy for financial gain. One such form of theft in the smart grid is the fraudulent amplification of energy generation measurements from DERs, such as photo-voltaics. It is important to detect this form of malicious activity, but in a way that ensures the privacy of customers. Not considering privacy aspects could result in a backlash from customers and a heavily curtailed deployment of services, for example. In this short paper, we present a novel privacy-preserving approach to the detection of manipulated DER generation measurements.

KW - Cryptography

KW - Energy measurement

KW - Euclidean distance

KW - Geospatial analysis

KW - Privacy

KW - Smart grids

KW - Smart meters

KW - Detection

KW - Energy theft

KW - Smart grid

KW - Smart metering

U2 - 10.1109/ISC2.2016.7580882

DO - 10.1109/ISC2.2016.7580882

M3 - Conference contribution/Paper

SN - 9781509018475

T3 - Smart Cities Conference (ISC2), 2016 IEEE International

SP - 1

EP - 4

BT - 2016 IEEE International Smart Cities Conference (ISC2)

PB - IEEE

ER -