A Stacked Deep Learning Approach for IoT Cyberattack Detection

<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">Term</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Smart meter</td><td class="align_center">An IoT device that reports information such as gas, water, or energy consumption of a home or organization.</td></tr><tr><td class="align_left">Thermostat</td><td class="align_center">A device that senses a given system’s temperature and carries out actions to maintain that temperature. It also permits users to remotely control home heating or air conditioning.</td></tr><tr><td class="align_left">Gateway</td><td class="align_center">A central hub that acts as a bridge that connects sensors or actuators to the Internet.</td></tr><tr><td class="align_left">Switch</td><td class="align_center">A data link layer device that uses a 48-bit identifier (a.k.a. MAC addresses) to convey data.</td></tr><tr><td class="align_left">WiFi access point</td><td class="align_center">A networking device that connects WLAN devices to the wire of the network through a router or a switch.</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Description of some IoT terms.</div>

Journal of Sensors

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Table 1: A Stacked Deep Learning Approach for IoT Cyberattack Detection 