ABSTRACT:

The talk presents lessons learnt from numerous AI studies for IoT Security, the talk presents 9 common issues that most AI studies suffer from.

This talk covers the following topics:

• Overview
• Past: Smart Things
• Present: Intelligent Things
• Coming: Edge Intelligence
• AI is everywhere
• AI and IoT Research Funding
• AI-Based Security of IoT: Our Research
• Industrial Control Systems Security Using AI
• Internet of Medical Things Security Using AI
• Edge AI: Hierarchical Deep Learning
• Lessons Learnt: 10 Problems with AI Studies
• 1. No Domain Expertise
• 2. Random Datasets
• 3. Imbalance of Security Data
• 4. Wrong Metrics
• 5. Too Few or Too Many Features
• 6. Results Not Explainable
• 7. No Sensitivity Analysis
• 8. No Real-World Validation
• 9. Omitting Assumptions and Limitations
• Summary
• Our Publications
• Acronyms

Presentation slides in Adobe Acrobat Format: 1 slide/page

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