Handbook

The course covers security theory and technical Internet of Things (IoT) and network security. It assists students comprehend formal and technical principles underlying IoT devices and network security testing. students learn to implement and test security mechanisms and technical principles in a closed laboratory environment. Students learn the secure configuration of IoT devices in networks and their security standards in the industry. Students learn the development of machine learning techniques using Python scripts to classify attack types and practice intrusion detection and threat models.
The main topics of the course include Identifying the common type of network and IoT attacks, explaining how the attacks can occur, and applying machine learning for intrusion classification. Students develop the appropriate technical controls that can be implemented in the OSI model to accomplish network security. Students also learn risk management and intrusion detection strategies to defend against network and IoT attacks.