Course

Securing the IoT Landscape: From Inception to Architecture

LearnQuest

This comprehensive course delves into the IoT security landscape, providing a deep understanding of preventive and defensive measures, incident response, and secure cloud deployment. Learners explore the device identity lifecycle, preventive security measures, and the ATASM threat modeling framework applied to a smart city use case.

The course equips professionals and students with practical insights on vulnerability management, penetration testing, and the integration of Microsoft Defender for IoT. Learners also gain a comprehensive understanding of cloud deployment architecture, cloud IAM, and the application of cloud services in IoT ecosystems.

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Securing the IoT Landscape: From Inception to Architecture
Course Modules

The course modules cover preventive and defensive IoT security measures, detection and eradication of IoT security attacks, and secure cloud deployment and connection to the cloud, providing comprehensive insights into the IoT security landscape.

Welcome & Module 1: Preventive and Defensive Measures to Counter IoT Security Threats

This module covers the IoT security lifecycle, including the device identity lifecycle, preventive security measures at device, network, and cloud levels, and security challenges in the connected vehicle IoT ecosystem. Learners also explore strategies for protecting IoT devices and networks from cyber attacks.

Module 2: Detection, Identification, and Eradication of IoT Security Attacks

Learners delve into strategies for detecting, identifying, and eradicating IoT security attacks, including vulnerability management, threat modeling, penetration testing, and the integration of Microsoft Defender for IoT. The module also provides insights into building an IoT security incident response team.

Module 3: Cloud Service for IoT Deployment - Secure Deployment and Connection to the Cloud

This module explores secure cloud deployment for IoT, covering cloud service models, security architecture, cloud IAM for IoT, and the ATASM threat modeling framework. Learners also examine the smart city’s threat landscape and applications of IoT in smart cities.

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