Machine Learning Based Intrusion Detection for IoT Botnet
Sikha S. Bagui, Xiaojian Wang, Subhash Bagui · International Journal of Machine Learning and Computing · 2021
In this article, we analyzed botnet traffic in an IoT environment using three machine learning classifiers: Logistic Regression, Support-Vector Machine and Random Forest.We classified each attack in each botnet for nine devices.We calculated the Accuracy, True Positive, False Positive, False Negative, True Negative, Precision, Recall, F1 score for each algorithm.We obtained impressive results (above 99%) using these three classifiers.We have a high attack detection rate.A brief analysis of the results is presented.