A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet

<div class="floats-full-page floats-full-page-figure"><h2>Figure 4</h2><div class="floats-full-page-caption"><div>Block diagram of malware detection and classification.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://static-01.hindawi.com/articles/scn/volume-2021/6658842/figures/6658842.fig.004.svgz" name="6658842.fig.004" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 4 | A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet

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Figure 4: A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet

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Figure 4

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<p><em>Security and Communication Networks</em> provides a prestigious forum for the R&amp;D community in academia and industry working at the interdisciplinary nexus of next generation communications technologies for security implementations in all network layers.</p>


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