Course Outline

Introduction

  • Cloud and IoT forensics vs traditional forensics

Cloud and IoT Architectural Overview

Cloud and IoT Communication Sources

  • Home automation sensors, automobile sensors, wearable devices, data store on Cloud, etc.

Case Study: IoT-Related Crimes

Investigation Challenges

  • Variety of devices, distributed nature of data, geographical jurisdiction, etc.

Skills Needed to Handle Complexity of IoT Systems

Methods and Techniques

Collecting Evidence

  • Smart devices and sensors, hardware and Software, external resources (cloud, ISPs, mobile network providers, etc.)

Logging and Monitoring

Summary and Conclusion

Requirements

  • An understanding of cloud computing concepts.
  • A general familiarity with IoT concepts.
  • A general understanding of software security.

Audience

  • Network engineers
  • Security professionals
  • IoT architects
  • Developers
  35 Hours
 

Testimonials (3)

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