A State-of-the-Art Review on IoT botnet Attack Detection

Zainab Al-Othman; Mouhammd Alkasassbeh; Sherenaz AL-Haj Baddar

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arXiv · 2010.13852

A State-of-the-Art Review on IoT botnet Attack Detection

Zainab Al-Othman·Mouhammd Alkasassbeh·Sherenaz AL-Haj Baddar

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Abstract

The Internet as we know it Today, comprises several fundamental interrelated networks, among which is the Internet of Things (IoT). Despite their versatility, several IoT devices are vulnerable from a security perspective, which renders them as a favorable target for multiple security breaches, especially botnet attacks. In this study, the conceptual frameworks of IoT botnet attacks will be explored, alongside several machinelearning based botnet detection techniques. This study also analyzes and contrasts several botnet Detection techniques based on the Bot-IoT Dataset; a recent realistic IoT dataset that comprises state-of-the-art IoT botnet attack scenarios.

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Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz AL-Haj Baddar. 2020-10-02. A State-of-the-Art Review on IoT botnet Attack Detection. https://arxiv.org/abs/2010.13852

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