Internet of Things (IoT) Security Training
Introduction to IoT Security
Gain an overview of Internet of Things (IoT) security, a critical aspect of modern technology. Learn about the IoT landscape, common security challenges, and the importance of securing connected devices and networks.
Getting Started with IoT Security
Learn the basics of IoT security. Understand the foundational concepts, including the types of IoT devices, common vulnerabilities, and essential security practices for protecting IoT systems.
IoT Device Security
Explore methods for securing IoT devices. Learn about device authentication, data encryption, and secure firmware updates to protect IoT devices from unauthorized access and tampering.
Network Security for IoT
Discover network security practices for IoT environments. Learn about securing IoT networks, managing network traffic, and implementing network segmentation to prevent attacks and ensure data integrity.
IoT Data Privacy and Protection
Understand how to protect data privacy in IoT systems. Learn about data collection practices, data encryption, and compliance with data protection regulations to safeguard sensitive information.
Threat Detection and Incident Response
Learn about threat detection and incident response for IoT systems. Explore techniques for identifying security breaches, responding to incidents, and mitigating the impact of cyberattacks.
Compliance and Regulatory Requirements
Discover compliance and regulatory requirements related to IoT security. Learn about industry standards, legal obligations, and best practices for ensuring compliance with IoT security regulations.
Securing IoT Ecosystems
Explore strategies for securing entire IoT ecosystems. Learn about integrating security measures across devices, networks, and applications to create a comprehensive IoT security framework.
Advanced IoT Security Techniques
Delve into advanced security techniques for IoT. Learn about emerging technologies, innovative security solutions, and strategies for addressing complex security challenges in IoT environments.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of IoT security. Work on real-world scenarios to develop practical skills in securing IoT devices, networks, and data.
Internet of things IoT Security Syllabus
1. Introduction to IoT and Security Fundamentals
- Overview of IoT: Definition, applications, and trends
- IoT architecture: Devices, gateways, cloud, and communication models
- Basics of cybersecurity: Confidentiality, integrity, availability (CIA triad)
2. IoT Protocols and Communication Technologies
- IoT communication protocols: MQTT, CoAP, HTTP/HTTPS, AMQP
- Wireless communication technologies: Zigbee, Z-Wave, LoRaWAN, Bluetooth, Wi-Fi
- Security challenges in IoT communication
3. IoT Threat Landscape and Attack Vectors
- Common IoT threats: Malware, DDoS attacks, data breaches
- Attack vectors: Physical attacks, network attacks, application-level attacks
- Case studies of notable IoT security incidents
4. IoT Security Architectures and Frameworks
- IoT security architecture: Device, network, application, and data security
- Security frameworks and standards: IoTSF, NIST, ISO/IEC 27030
- Risk assessment and management in IoT
5. Device and Network Security
- Secure boot and firmware updates
- Device authentication and authorization
- Network security: VPNs, firewalls, IDS/IPS for IoT
6. Data Security and Privacy in IoT
- Data encryption and key management
- Secure storage and transmission of data
- Privacy concerns and regulatory compliance (GDPR, CCPA)
7. IoT Identity and Access Management (IAM)
- Identity management for IoT devices
- Role-based access control (RBAC) and attribute-based access control (ABAC)
- OAuth, OpenID Connect, and other IAM protocols for IoT
8. Intrusion Detection and Prevention in IoT
- Techniques for intrusion detection in IoT networks
- Anomaly detection and behavioral analysis
- Implementing IDS/IPS in IoT ecosystems
9. Blockchain and IoT Security
- Introduction to blockchain technology
- Use cases of blockchain in IoT security
- Implementing blockchain for secure IoT transactions and data integrity
10. Machine Learning for IoT Security
- Basics of machine learning and its application in security
- Anomaly detection using machine learning
- Case studies and practical implementations
11. Secure Development and Deployment of IoT Systems
- Secure coding practices for IoT applications
- DevSecOps for IoT
- Testing and validating IoT security
12. Emerging Trends and Future Directions
- AI and IoT security
- Edge and fog computing security
- Quantum computing and its impact on IoT security
Advanced Topics
1. Introduction to IoT Security
- Overview of IoT and its applications
- Importance of IoT security
- IoT security threats and vulnerabilities
- Case studies of IoT security breaches
2. IoT Architecture and Protocols
- IoT system architecture
- Communication protocols (MQTT, CoAP, HTTP/HTTPS, LoRaWAN, etc.)
- Security implications of IoT protocols
3. IoT Device Security
- Device authentication and authorization
- Secure boot and firmware updates
- Hardware security modules (HSM)
- Case study: Securing a smart home device
4. Network Security for IoT
- Network segmentation and isolation
- Secure communication channels (TLS, DTLS)
- Intrusion detection and prevention systems (IDPS) for IoT
- Case study: Securing a smart city infrastructure
5. Data Security and Privacy in IoT
- Data encryption and integrity
- Secure data storage and transmission
- Privacy concerns and regulatory compliance (GDPR, CCPA)
- Case study: Healthcare IoT devices
6. Cloud and Edge Security in IoT
- Cloud security for IoT platforms
- Edge computing and security challenges
- Secure data processing at the edge
- Case study: Industrial IoT (IIoT) systems
7. IoT Security Frameworks and Standards
- Overview of IoT security frameworks (NIST, ENISA)
- Security standards and best practices (ISO/IEC 27001, IEC 62443)
- Implementing security frameworks in IoT projects
8. Threat Modeling and Risk Assessment in IoT
- Identifying and analyzing threats
- Risk assessment methodologies
- Developing and implementing mitigation strategies
- Case study: Threat modeling for a connected car system
9. Advanced Cryptographic Solutions for IoT
- Lightweight cryptography for IoT
- Public key infrastructure (PKI) in IoT
- Blockchain and distributed ledger technologies for IoT security
- Case study: Securing supply chain IoT systems
10. Secure IoT Development and Testing
- Secure coding practices for IoT
- IoT security testing tools and techniques
- Penetration testing and vulnerability assessment
- Hands-on lab: Conducting a security audit of an IoT device
11. Incident Response and Forensics in IoT
- Incident detection and response strategies
- Forensic analysis of IoT devices and networks
- Case study: Responding to an IoT security breach
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details