IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices

Volume: 19, Issue: 14, Pages: 3188 - 3188
Published: Jul 19, 2019
Abstract
Internet of Things (IoT) devices have become increasingly widespread. Despite their potential of improving multiple application domains, these devices have poor security, which can be explored by attackers to build large-scale botnets. In this work, we propose a host-based approach to detect botnets in IoT devices, named IoTDS (Internet of Things Detection System). It relies on one-class classifiers, which model only the legitimate device...
Paper Details
Title
IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices
Published Date
Jul 19, 2019
Journal
Volume
19
Issue
14
Pages
3188 - 3188
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