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

<div class="floats-full-page floats-full-page-other"><h2>Table 4</h2><div class="floats-full-page-caption"><div>BIG 2015: distribution of samples.</div></div><div class="floats-full-page-content"><table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr class="thead"><td class="align_left">No.</td><td class="align_center">Family</td><td class="align_center">Number of samples</td></tr><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr><td class="align_left">1</td><td class="align_center">Ramnit</td><td class="align_center">1541</td></tr><tr><td class="align_left">2</td><td class="align_center">Lollipop</td><td class="align_center">2478</td></tr><tr><td class="align_left">3</td><td class="align_center">Kelihos_ver3</td><td class="align_center">2942</td></tr><tr><td class="align_left">4</td><td class="align_center">Vundo</td><td class="align_center">475</td></tr><tr><td class="align_left">5</td><td class="align_center">Simda</td><td class="align_center">42</td></tr><tr><td class="align_left">6</td><td class="align_center">Tracur</td><td class="align_center">751</td></tr><tr><td class="align_left">7</td><td class="align_center">Kelihos_ver1</td><td class="align_center">398</td></tr><tr><td class="align_left">8</td><td class="align_center">Obfuscator.ACY</td><td class="align_center">1228</td></tr><tr><td class="align_left">9</td><td class="align_center">Gatak</td><td class="align_center">1013</td></tr><tr><td class="align_left"> </td><td class="align_center"> </td><td class="align_center">10868</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

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

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

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Table 4

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