Get in Touch

Course Outline

Session 1 & 2: Basic and Advanced Concepts of IoT Architecture from a Security Perspective

  • A brief history of the evolution of IoT technologies.
  • Data models in IoT systems – definition and architecture of sensors, actuators, devices, gateways, and communication protocols.
  • Third-party devices and risks associated with vendor supply chains.
  • Technology ecosystem – risks associated with device providers, gateway providers, analytics providers, platform providers, and system integrators.
  • Edge-driven distributed IoT vs. Cloud-driven central IoT: Advantage vs. risk assessment.
  • Management layers in IoT systems – fleet management, asset management, onboarding/deboarding of sensors, Digital Twins, and authorization risks in management layers.
  • Demo of IoT management systems (AWS, Microsoft Azure, and other fleet managers).
  • Introduction to popular IoT communication protocols – Zigbee, NB-IoT, 5G, LoRa, Wi-Spect – reviewing vulnerabilities in communication protocol layers.
  • Understanding the entire IoT technology stack with a review of risk management.

Session 3: A Checklist of All Risks and Security Issues in IoT

  • Firmware Patching: The weak point of IoT.
  • Detailed review of IoT communication protocol security: Transport layers (NB-IoT, 4G, 5G, LoRa, Zigbee, etc.) and Application Layers – MQTT, WebSocket, etc.
  • API endpoint vulnerabilities – list of all possible APIs in IoT architecture.
  • Vulnerabilities of gateway devices and services.
  • Vulnerabilities of connected sensors – gateway communication.
  • Vulnerabilities of gateway-server communication.
  • Vulnerabilities of cloud database services in IoT.
  • Vulnerabilities of application layers.
  • Vulnerabilities of gateway management services (local and cloud-based).
  • Risks of log management in edge and non-edge architectures.

Session 4: OWASP Model of IoT Security, Top 10 Security Risks

  • I1: Insecure Web Interface
  • I2: Insufficient Authentication/Authorization
  • I3: Insecure Network Services
  • I4: Lack of Transport Encryption
  • I5: Privacy Concerns
  • I6: Insecure Cloud Interface
  • I7: Insecure Mobile Interface
  • I8: Insufficient Security Configurability
  • I9: Insecure Software/Firmware
  • I10: Poor Physical Security

Session 5: Review and Demo of AWS-IoT and Azure IoT Security Principles

  • Microsoft Threat Model – STRIDE.

Details of STRIDE Model

  • Security of device and gateway-server communication – Asymmetric encryption.
  • X.509 certification for public key distribution.
  • SAS Keys.
  • Bulk OTA risks and techniques.
  • API security for application portals.
  • Deactivation and unlinking of rogue devices from the system.
  • Vulnerabilities in AWS/Azure security principles.

Session 6: Review of Evolving NIST Standards/Recommendations for IoT

Review of NISTIR 8228 standard for IoT security – 30-point risk consideration model.

Third-party device integration and identification.

  • Service identification & tracking.
  • Hardware identification & tracking.
  • Communication session identification.
  • Management transaction identification and logging.
  • Log management and tracking.

Session 7: Securing Firmware/Device

Securing debugging mode in firmware.

Physical security of hardware.

  • Hardware cryptography – PUF (Physically Unclonable Function) – securing EPROM.
  • Public PUF, PPUF.
  • Nano PUF.
  • Known classification of malware in firmware (18 families according to YARA rules).
  • Study of popular firmware malware – Mirai, BrickerBot, GoScanSSH, Hydra, etc.

Session 8: Case Studies of IoT Attacks

  • On Oct. 21, 2016, a massive DDoS attack was deployed against Dyn DNS servers, shutting down many web services including Twitter. Hackers exploited default passwords and usernames of webcams and other IoT devices, installing the Mirai botnet on compromised IoT devices. This attack will be studied in detail.
  • IP cameras can be hacked through buffer overflow attacks.
  • Philips Hue lightbulbs were hacked through their ZigBee link protocol.
  • SQL injection attacks were effective against Belkin IoT devices.
  • Cross-site scripting (XSS) attacks exploited the Belkin WeMo app, accessing data and resources the app can access.

Session 9: Securing Distributed IoT via Distributed Ledger – Blockchain and DAG (IOTA) [3 hours]

Distributed ledger technology – DAG Ledger, Hyperledger, Blockchain.

PoW, PoS, Tangle – a comparison of consensus methods.

  • Difference between Blockchain, DAG, and Hyperledger – comparison of their working, performance, and decentralization.
  • Real-time and offline performance of different DLT systems.
  • P2P network, private and public key basic concepts.
  • How ledger systems are implemented practically – review of some research architectures.
  • IOTA and Tangle – DLT for IoT.
  • Practical application examples from smart cities, smart machines, and smart cars.

Session 10: Best Practice Architecture for IoT Security

  • Tracking and identifying all services in gateways.
  • Never use MAC addresses; use package ID instead.
  • Use an identification hierarchy for devices: board ID, device ID, and package ID.
  • Structure firmware patching to perimeters and conform to service ID.
  • PUF for EPROM.
  • Secure risks of IoT management portals/applications with two layers of authentication.
  • Secure all APIs – define API testing and API management.
  • Identification and integration of the same security principles in the supply chain.
  • Minimize patch vulnerabilities in IoT communication protocols.

Session 11: Drafting IoT Security Policy for Your Organization

  • Define the lexicon of IoT security and tensions.
  • Suggest best practices for authentication, identification, and authorization.
  • Identification and ranking of critical assets.
  • Identification of perimeters and isolation for applications.
  • Policy for securing critical assets, critical information, and privacy data.

Requirements

  • Basic knowledge of devices, electronic systems, and data systems.
  • Basic understanding of software and systems.
  • Basic understanding of Statistics (Excel level).
  • Understanding of Telecommunication Verticals.

Summary

  • An advanced training program covering the state-of-the-art security of the Internet of Things.
  • Covers all aspects of firmware, middleware, and IoT communication protocol security.
  • Provides a 360-degree view of security initiatives in the IoT domain for those not deeply familiar with IoT standards, evolution, and future trends.
  • Deep dive into security vulnerabilities in firmware, wireless communication protocols, and device-to-cloud communication.
  • Bridges multiple technology domains to develop awareness of security in IoT systems and their components.
  • Live demonstrations of security aspects related to gateways, sensors, and IoT application clouds.
  • Explains the 30 principle risk considerations of current and proposed NIST standards for IoT security.
  • Covers the OWASP model for IoT security.
  • Provides detailed guidelines for drafting IoT security standards for an organization.

Target Audience

Engineers, managers, and security experts assigned to develop IoT projects or audit/review security risks.

 21 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories