PCA-based method for detecting integrity attacks on advanced metering infrastructure

Varun Badrinath Krishna, Gabriel A. Weaver, William H. Sanders

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


Electric utilities are in the process of installing millions of smart meters around the world, to help improve their power delivery service. Although many of these meters come equipped with encrypted communications, they may potentially be vulnerable to cyber intrusion attempts. These attempts may be aimed at stealing electricity, or destabilizing the electricity market system. Therefore, there is a need for an additional layer of verification to detect these intrusion attempts. In this paper, we propose an anomaly detection method that uniquely combines Principal Component Analysis (PCA) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to verify the integrity of the smart meter measurements. Anomalies are deviations from the normal electricity consumption behavior. This behavior is modeled using a large, open database of smart meter readings obtained from a real deployment. We provide quantitative arguments that describe design choices for this method and use false-data injections to quantitatively compare this method with another method described in related work.

Original languageEnglish (US)
Title of host publicationQuantitative Evaluation of Systems - 12th International Conference, QEST 2015, Proceedings
EditorsJavier Campos, Boudewijn R. Haverkort
Number of pages16
ISBN (Print)9783319222639
StatePublished - 2015
Event12th International Conference on Quantitative Evaluation of Systems, QEST 2015 - Madrid, Spain
Duration: Sep 1 2015Sep 3 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other12th International Conference on Quantitative Evaluation of Systems, QEST 2015


  • AMI
  • Analysis
  • Anomaly
  • Communication
  • Component
  • Computer
  • Cyber-physical
  • Data
  • Detection
  • Electricity
  • Energy
  • Grid
  • Meter
  • Network
  • PCA
  • Principal
  • Security
  • Smart
  • Theft

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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