Researchers using Machine learning as a new technique to create a Real-Time Internet of Things(IoT) DDoS detection tool to prevent the DDoS attack from IoT botnets. The tool will perform based on the IoT network behavior such as regular time interval between packets. Researchers develop a machine learning pipeline in order to collect the data feature extraction and binary classification for IoT traffic DDoS. Researchers found that random forest, K-nearest neighbors, and neural net classifiers were particularly effective.”]
Source: https://gbhackers.com/machine-learning-ddos-detection-tool/