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URL: https://www.coursera.org/learn/assessing-and-managing-secure-iot-applications-course-3

⇱ Securing the IoT Landscape: From Inception to Architecture | Coursera


Securing the IoT Landscape: From Inception to Architecture

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Securing the IoT Landscape: From Inception to Architecture

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Assessing and Managing Secure IoT Applications and Devices Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course

This comprehensive course is designed for professionals and students seeking a deep understanding of the IoT security landscape. Learners should have a comprehensive understanding of IoT foundations. Participants will cover the Device Identity lifecycle, learn the steps in the Device Bootstrap Process, and explore preventive security measures at the device, network, and cloud levels using real-world examples. The course guides learners through the IoT incident response lifecycle, including the setup of a Security Incident Response Team. It delves into threat modeling, vulnerability management, and penetration testing in the context of IoT security, along with practical insights on tools like Microsoft Defender. The course defines cloud and its characteristics, outlines best practices in cloud deployment architecture, and details strategies for implementing Cloud IAM in IoT ecosystems. The ATASM (Threat Modeling Framework) is applied through a smart city use case, emphasizing the identification and mitigation of potential 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.

What's included

7 videos7 readings3 assignments3 discussion prompts3 plugins

7 videosβ€’Total 39 minutes
  • Welcome to the Courseβ€’3 minutes
  • IoT Security Lifecycle and Device Identity Lifecycleβ€’6 minutes
  • The Device Bootstrap Processβ€’5 minutes
  • Preventive Security Measures at Device, Network, and Cloud Levelsβ€’8 minutes
  • Introduction to the Connected Vehicle IoT Ecosystemβ€’5 minutes
  • Security Challenges in the Connected Vehicle Ecosystemβ€’6 minutes
  • Identity Provisioning and Benefits of Connected Vehiclesβ€’6 minutes
7 readingsβ€’Total 64 minutes
  • Meet your Instructorβ€’10 minutes
  • Course Syllabusβ€’10 minutes
  • The Cloud Cipher: Securing IoT in a Connected Worldβ€’7 minutes
  • IOT Device Lifecycle and Managementβ€’10 minutes
  • What is Connected Vehicle Technology and What are the Use Cases?β€’10 minutes
  • Engines of Trustβ€’7 minutes
  • Points to Remember: Preventive and Defensive Measures to Counter IoT Security Threatsβ€’10 minutes
3 assignmentsβ€’Total 65 minutes
  • Lesson 1 Quiz: Lifecycle of IoT Security - Device Identity Lifecycleβ€’30 minutes
  • Exam Prep: Preventive and Defensive Measures to Counter IoT Security Threatsβ€’5 minutes
  • Module 1 Exam: Preventive and Defensive Measures to Counter IoT Security Threatsβ€’30 minutes
3 discussion promptsβ€’Total 30 minutes
  • Device Identity lifecycleβ€’10 minutes
  • Security Challengesβ€’10 minutes
  • Identity Management in Connected Vehiclesβ€’10 minutes
3 pluginsβ€’Total 45 minutes
  • Strategies for Protecting IoT Devices and Networks from Cyber Attacksβ€’15 minutes
  • The Bootstrapping Processβ€’15 minutes
  • Connected Vehicles recapβ€’15 minutes

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.

What's included

6 videos4 readings4 assignments3 discussion prompts1 plugin

6 videosβ€’Total 36 minutes
  • Introduction to Strategies for Detecting, Identifying, and Eradicating IoT Security Attacksβ€’7 minutes
  • Building an IoT Security Incident Response Teamβ€’5 minutes
  • Vulnerability Management, Threat Modeling, and Penetration Testing in IoT Securityβ€’7 minutes
  • Introduction to Microsoft Defender for IoTβ€’6 minutes
  • Integration of Microsoft Defender for IoT in an IoT Ecosystemβ€’4 minutes
  • Benefits and Conclusionβ€’6 minutes
4 readingsβ€’Total 37 minutes
  • Incident Response Team: A Blueprint for Successβ€’10 minutes
  • Microsoft Defender for IoT/OT environmentsβ€’10 minutes
  • The Invisible Huntβ€’7 minutes
  • Points to Remember: Detection, Identification, and Eradication of IoT Security Attacksβ€’10 minutes
4 assignmentsβ€’Total 95 minutes
  • Lesson 1 Quiz: Strategies to Detect, Identify, and Eradicate IoT Security Attacksβ€’30 minutes
  • Lesson 2 Quiz: IoT Security Tool Exampleβ€’30 minutes
  • Exam Prep: Detection, Identification, and Eradication of IoT Security Attacksβ€’5 minutes
  • Module 2 Exam: Detection, Identification, and Eradication of IoT Security Attacksβ€’30 minutes
3 discussion promptsβ€’Total 30 minutes
  • Integration and Proactivityβ€’10 minutes
  • Microsoft Defenderβ€’10 minutes
  • Prioritizing Security Tools in a Limited Budgetβ€’10 minutes
1 pluginβ€’Total 15 minutes
  • When to use Microsoft Defender for IoTβ€’15 minutes

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.

What's included

6 videos5 readings3 assignments3 discussion prompts2 plugins

6 videosβ€’Total 24 minutes
  • Introduction to Cloud Services for IoT Deploymentβ€’6 minutes
  • Cloud Service Models and Security Architecture for IoTβ€’4 minutes
  • Cloud Identity and Access Management (IAM) for IoTβ€’3 minutes
  • ATASM Threat Modelling Frameworkβ€’4 minutes
  • Smart City’s Threat Landscapeβ€’4 minutes
  • Mitigations and Lessons Learned from the Smart City Use Caseβ€’3 minutes
5 readingsβ€’Total 36 minutes
  • Applications of IoT in Smart Citiesβ€’10 minutes
  • Cloud Horizonsβ€’7 minutes
  • Points to Remember: Cloud Service for IoT Deploymentβ€’10 minutes
  • Course Conclusionβ€’2 minutes
  • The Cloud Cipher: The Last Keyβ€’7 minutes
3 assignmentsβ€’Total 65 minutes
  • Lesson 1 Quiz: The Cloud for IoTβ€’30 minutes
  • Exam Prep: Cloud Service for IoT Deploymentβ€’5 minutes
  • Module 3 Exam: Cloud Service for IoT Deployment - Secure Deployment and Connection to the Cloudβ€’30 minutes
3 discussion promptsβ€’Total 30 minutes
  • Optimizing Cloud IAMβ€’10 minutes
  • Dalit, the Smart Cityβ€’10 minutes
  • Choosing a Cloud Deployment Model for a Smart Cityβ€’10 minutes
2 pluginsβ€’Total 30 minutes
  • Cloud Deployment Modelsβ€’15 minutes
  • ATASM and Smart Citiesβ€’15 minutes

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