JAVA Data Mining Project - Botnet Detection in 5G Networks - ClickMyProject

Internet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cyber security risks due to the lack of security for IoT devices. IoT botnets, for instance, have become a critical threat; however, systematic and comprehensive studies analysing the importance of botnet detection methods are limited in the IoT environment. . Botnet attack is one of the serious threats on the Internet today. This article proposes pattern-based feature selection methods as part of a machine learning (ML) based botnet detection system. Specifically, two methods are proposed: The first feature selection method uses selecting best feature and second clustering method to select the most influential features automatically. The evaluation results show that the proposed methods have improved the performance of the detection system. To evaluate the performance using machine learning Logistic regression and Random Forest algorithm to give high accuracy result.

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