Anomaly Detection in Smart Metering Infrastructure with the Use of Time Series Analysis

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Network feature</td><td class="align_center">AMI network traffic feature description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">NF<sub>1</sub></td><td class="align_center">RSSI: received signal strength indication for AMI power meter [dBm]</td></tr><tr><td class="align_left">NF<sub>2</sub></td><td class="align_center">LQI: link quality indicator value (values: 0–127)</td></tr><tr><td class="align_left">NF<sub>3</sub></td><td class="align_center">PER: packet error rate per minute [%]</td></tr><tr><td class="align_left">NF<sub>4</sub></td><td class="align_center">PPM: number of packets per minute</td></tr><tr><td class="align_left">NF<sub>5</sub></td><td class="align_center">TTL: packet time to live value</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

AMI network traffic features captured from sensor network gateway.

Journal of Sensors

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Table 1

Table 1: Anomaly Detection in Smart Metering Infrastructure with the Use of Time Series Analysis 