Optimized CNN Techniques for Intrusion Detection Using NBA-IoT Data

Over the past 15 years, the proliferation of Internet-connected devices due to the development of high-speed wireless communication technology has raised concerns about cybersecurity. As IoT (Internet of Things) technology penetrates every aspect of society, the potential damage from IoT cyberattacks is much greater than that from existing cyberattacks. Objective: The main goal of this study is to address the growing concerns about cybersecurity in the rapidly evolving Internet of Things (IoT) environment. As the number of Internet-connected devices increases, the potential damage from IoT hacking has become a major concern. Existing intrusion detection systems (IDS) have been found to be insufficient to protect IoT networks, and research on more effective defenses is needed. The objective of this project is to study the effectiveness of an intrusion detection system specifically designed for Internet of Things communication networks. Methods: In this study, we explore the integration of deep