Anti-Attack Scheme for Edge Devices Based on Deep Reinforcement Learning

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/6619715/figures/6619715.fig.002a.svgz" name="6619715.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Similarity comparison (I)</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/6619715/figures/6619715.fig.002b.svgz" name="6619715.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Similarity comparison (II)</td></tr></table>

Wireless Communications and Mobile Computing

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Figure 2

Figure 2: Anti-Attack Scheme for Edge Devices Based on Deep Reinforcement Learning 