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Securing the IoT Landscape: From Inception to Architecture

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  • Welcome & Module 1: Preventive and Defensive Measures to Counter IoT Security Threats
    • The module provides a thorough understanding of the IoT Security and Device Identity Lifecycles, breaking down the Device Bootstrap Process with practical examples and emphasizing its crucial role in device initialization. Learners explore preventive security measures across device, network, and cloud levels, recognizing the interconnected nature of these strategies. The module also delves into the connected vehicle IoT ecosystem, presenting mitigation strategies and emphasizing key elements like identity provisioning, authentication principles, and societal benefits.
  • Module 2: Detection, Identification, and Eradication of IoT Security Attacks
    • The module equips learners with a comprehensive understanding of strategies for detecting, identifying, and eradicating IoT security attacks, covering the Incident Response Lifecycle, IoT security incident protocols, and the creation of a Security Incident Response Team (SIRT). Learners explore asset inventory, continuous monitoring, Vulnerability Management, Threat Modeling, and Penetration Testing in IoT Security. The module concludes by delving into the integration of Microsoft Defender for IoT in IoT ecosystems, emphasizing its role in detecting and eradicating security threats.
  • Module 3: Cloud Service for IoT Deployment - Secure Deployment and Connection to the Cloud
    • The module provides learners with a comprehensive understanding of cloud services for IoT deployment, beginning with an introduction to the cloud and an exploration of different cloud deployment models. Participants delve into cloud service models, analyzing their security architecture for IoT applications. The module covers Cloud Identity and Access Management (IAM) for IoT, encompassing infrastructure and implementation best practices. The module then delves into a real-world example, Dalit’s Smart City, examining the cloud provider selection, architecture components, threat landscape, and lessons learned, offering valuable insights into securing IoT deployments in the cloud.