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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)
The oral skills and human side of the trainer (Augustin).
Jeremy Chicon - TE Connectivity
Course - NB-IoT for Developers
Practical work
James - Argent Energy
Course - Introduction to IoT Using Arduino
I enjoyed the relaxed mood. Also there was a very good balance between theoretical presentation and practical side.
Calin Berariu - Continental Automotive Romania SRL
Course - Programming for IoT with Azure
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