Botnet Attack Detection in the Internet of Things Using Selected Learning Algorithms: A Research Study on Securing IoT Against Cyber Threats Using Machine Learning

A Must-Read for IoT Security Researchers and Machine Learning Experts

As IoT networks continue to expand, so do the complexities of securing them against botnet attacks. The diversity of devices, varying computational capabilities, and different communication protocols make developing a universal botnet detection system a significant research challenge. This book provides a rigorous, data-driven approach to tackling this issue using supervised machine learning algorithms.

Based on the NB-IoT-...