Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Network feature</td><td class="align_center">DR [%]</td><td class="align_center">FP [%]</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">APL<sub>1</sub></td><td class="align_center">98.40</td><td class="align_center">2.80</td><td class="align_center">—</td></tr><tr><td class="align_left">APL<sub>2</sub></td><td class="align_center">91.20</td><td class="align_center">5.20</td><td class="align_center">—</td></tr><tr><td class="align_left">APL<sub>3</sub></td><td class="align_center">96.80</td><td class="align_center">3.80</td><td class="align_center">—</td></tr><tr><td class="align_left">APL<sub>4</sub></td><td class="align_center">—</td><td class="align_center">—</td><td class="align_center">Not important in this scenario</td></tr><tr><td class="align_left">APL<sub>5</sub></td><td class="align_center">—</td><td class="align_center">—</td><td class="align_center">Not important in this scenario</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

DR [%] and FP [%] for anomalies/attacks performed on the SLCN in Scenario <a href="https://static.hindawi.com/articles/scn/volume-2017/7892182/figures/#scenario2">2</a>.

Security and Communication Networks

tab5

Table 5

Table 5: Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing 