AMIDS: A multi-sensor energy theft detection framework for advanced metering infrastructures

Stephen McLaughlin, Brett Holbert, Saman Zonouz, Robin Berthier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

The advanced metering infrastructure (AMI) is a crucial component of the smart grid, replacing traditional analog devices with computerized smart meters. Smart meters have not only allowed for efficient management of many end-users, but also have made AMI an attractive target for remote exploits and local physical tampering with the end goal of stealing energy. While smart meters posses multiple sensors and data sources that can indicate energy theft, in practice, the individual methods exhibit many false positives. In this paper, we present AMIDS, an AMI intrusion detection system that uses information fusion to combine the sensors and consumption data from a smart meter to more accurately detect energy theft. AMIDS combines meter audit logs of physical and cyber events with consumption data to more accurately model and detect theft-related behavior. Our experimental results on normal and anomalous load profiles show that AMIDS can identify energy theft efforts with high accuracy. Furthermore, AMIDS correctly identified legitimate load profile changes that more elementary analyses classified as malicious.

Original languageEnglish (US)
Title of host publication2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
Pages354-359
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012 - Tainan, Taiwan, Province of China
Duration: Nov 5 2012Nov 8 2012

Publication series

Name2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012

Other

Other2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
CountryTaiwan, Province of China
CityTainan
Period11/5/1211/8/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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    McLaughlin, S., Holbert, B., Zonouz, S., & Berthier, R. (2012). AMIDS: A multi-sensor energy theft detection framework for advanced metering infrastructures. In 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012 (pp. 354-359). [6486009] (2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012). https://doi.org/10.1109/SmartGridComm.2012.6486009