SUMMARY
Today, the IoT has revolutionized the way humans interact with the world. This paper aims to provide a comprehensive overview of state-of-the-art methods for detecting IoT botnet attacks based on machine_learning. The unique characteristics and challenges posed by IoT networks are examined, and key machine_learning algorithms employed for botnet detection are reviewed. Only a small representative sample of emails is analyzed to demonstrate the feasibility of machine_learning to detect spam that the Internet of Things might receive. Similar to the processing of spam samples, only a small number of representative samples are selected in . . .
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