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2015
IEEE

PCA-Based Method for Detecting Integrity Attacks on Advanced Metering Infrastructure

2 years 11 months ago
PCA-Based Method for Detecting Integrity Attacks on Advanced Metering Infrastructure
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 ...
Varun Badrinath Krishna, Gabriel A. Weaver, Willia
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where QEST
Authors Varun Badrinath Krishna, Gabriel A. Weaver, William H. Sanders
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