1. Introduction to IoT and its security landscape

• IoT Fundamentals: Definition, architecture, components, and applications.
• IoT Ecosystem: Understanding the various interconnected devices, networks, and cloud platforms.
• Challenges of IoT Security: Exploring the unique security and privacy concerns inherent in IoT environments, including the vast amount of data generated by devices and the potential for breaches.
• IoT Security Requirements: Discussing confidentiality, integrity, availability, and non-repudiation in the context of IoT.
• Vulnerabilities and Threats in IoT: Delving into common vulnerabilities like weak authentication, insecure default settings, lack of encryption, and physical vulnerabilities. Common threats include malware (e.g., Mirai botnet), data leaks, unauthorized access, and denial of service attacks. 

2. IoT security architecture and design

• IoT Security Architecture: Designing secure IoT systems with a layered approach, including device, network, and application security.
• Secure by Design Principles: Integrating security considerations from the initial design phase of IoT devices and systems.
• Threat Modeling: Identifying and assessing potential threats and vulnerabilities within an IoT system.
• Security Requirements and Existing Security Techniques: Examining the specific security needs of IoT systems and exploring solutions. 

3. Core IoT security technologies

• Cryptography in IoT: Implementing encryption, hashing, and digital signatures to protect data confidentiality, integrity, and authenticity.
• Identity and Access Management (IAM): Implementing authentication and authorization mechanisms (like MFA) to control access to IoT devices and data.
• Network Security: Securing communication between IoT devices and platforms, including network segmentation, firewalls, and secure protocols (e.g., HTTPS, SSL/TLS, MQTT with encryption).
• Device Security: Implementing secure boot, hardware security modules, and secure coding practices for IoT devices.
• Cloud Security for IoT: Securing IoT data and applications hosted on cloud platforms (e.g., AWS IoT, Microsoft Azure IoT). 

4. IoT security operations and management

• IoT Security Lifecycle: Managing security across the entire lifecycle of IoT devices, from development and deployment to decommissioning.
• Secure Firmware and Software Updates: Implementing secure update mechanisms and patch management to address vulnerabilities.
• Incident Response in IoT: Developing procedures for detecting, analyzing, and responding to security incidents in IoT environments.
• Compliance Monitoring Programs: Maintaining compliance with relevant security standards and regulations (e.g., GDPR).
• IoT Security Testing and Assessment: Conducting penetration testing and vulnerability assessments to identify and mitigate risks. 

5. Advanced topics and applications (may vary by course)

• Exploiting Web Applications of IoT: Understanding common vulnerabilities and attack techniques against web interfaces of IoT systems.
• Exploiting Mobile Applications of IoT: Analyzing and exploiting vulnerabilities in mobile applications used to control and manage IoT devices.
• IoT Forensics: Investigating security breaches and collecting evidence from IoT devices.
• Industrial IoT (IIoT) Security: Specialized security considerations for industrial control systems and critical infrastructure.
• Privacy Preservation in IoT: Techniques for preserving user privacy while collecting and analyzing data from IoT devices.