Botnet Mobile Detection Using Machine & Deep Learning Techniques
Mustafa Al-farttoosi, Hasan Abdulkader · 2022
In this study, we discuss the most dangerous and most widespread attacks, namely botnets. We will also discuss the bot attack mechanism and introduce methods using machine learning (ML) and deep learning techniques to detect attacks entered by SMS or malware. This study investigates the application of several methods based on ML, including logistic regression, random forest, and deep neural networks. A deep learning algorithm was applied to artificial neural networks (ANN) in more than one way. Datasets were divided into two halves to obtain more accurate results than classical learning. Special preprocessing of datasets was applied to improve the performance of classification algorithms. The obtained accuracy from deep learning was encouraging. A result of 99.79% was obtained for the SMS attacks and 98.48% for the malware attacks.