This course is designed for professionals and students seeking a comprehensive understanding of IoT security. Participants should already have a solid understanding of IoT fundamentals. Learners will delve into the intricate components of the IoT ecosystem, gaining insights into its architecture and interconnections. They will identify and analyze common IoT security challenges, providing the foundation to recognize and explain IoT threats and vulnerabilities in the ever-evolving IoT security threat landscape. Participants will differentiate between various risk assessment methodologies and learn to employ threat modeling techniques effectively. The course also explores IoT security standards and controls, enabling learners to recognize and implement security best practices. Additionally, learners will compare and contrast computing frameworks for IoT, critically analyzing secure IoT architectures and evaluating security implications across different architectural approaches. The course culminates in an examination of secure communication protocols, equipping participants with a comprehensive skill set to navigate the complex field of IoT security confidently.

This comprehensive course is designed for professionals and students seeking a deep understanding of the IoT security landscape. Learners should have a comprehensive understanding of IoT foundations. Participants will cover the Device Identity lifecycle, learn the steps in the Device Bootstrap Process, and explore preventive security measures at the device, network, and cloud levels using real-world examples. The course guides learners through the IoT incident response lifecycle, including the setup of a Security Incident Response Team. It delves into threat modeling, vulnerability management, and penetration testing in the context of IoT security, along with practical insights on tools like Microsoft Defender. The course defines cloud and its characteristics, outlines best practices in cloud deployment architecture, and details strategies for implementing Cloud IAM in IoT ecosystems. The ATASM (Threat Modeling Framework) is applied through a smart city use case, emphasizing the identification and mitigation of potential threats.