Won't Get Fooled Again - The Expected Future of IoT Malware and What to Do About It

This course covers the history and evolution of IoT malware, focusing on evasion techniques and detection methods. By studying past malware instances like Creeper, Stuxnet, and lot Worm, learners will understand the motives behind malware creation and the future trends in evasive malware. The course teaches skills in malware detection techniques, static and dynamic evasion methods, and the different categories of motives driving malware development. The teaching method involves analyzing historical case studies and predicting future trends in IoT malware. This course is intended for cybersecurity professionals, malware analysts, and individuals interested in understanding the evolving landscape of IoT malware.