  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.
