Behavior Analysis of Machine Learning Algorithms for Botnets Detection
Huda Hussein Ali, Ruwaida Mohammed Yas, Maysaa H. Abdulameer · 2023
Botnets constitute a significant cybersecurity threat becoming increasingly sophisticated and challenging to detect. In addition, they are used for various illegal activities, such as spreading viruses, conducting DDoS attacks, click fraud, phishing, and identity theft. This study focuses on the latest advancements in machine learning-based botnet detection research. It initially describes how ML technology is implemented in network security research and describes the properties regarding the botnet’s structure prior to the introduction of ML for botnet detection. Next, the study analyzes and summarizes the most commonly used ML algorithms and their security features in botnet detection. Finally, it concludes by summarizing the current ML solutions for describing, detecting, and researching botnets, as well as discussing how to evaluate the accuracy of botnet detection techniques.