Defending Networks with Incomplete Information - A Machine Learning Approach

Defending Networks with Incomplete Information - A Machine Learning Approach

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Intro

1 of 13

1 of 13

Intro

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Classroom Contents

Defending Networks with Incomplete Information - A Machine Learning Approach

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  1. 1 Intro
  2. 2 Correlation Rules: a Primer
  3. 3 Enter Machine Learning
  4. 4 Applications of Machine Learning
  5. 5 Security Applications of.ML
  6. 6 Kinds of Machine Learning.
  7. 7 Considerations on Data Gathering
  8. 8 Model: Data Collection
  9. 9 Model Intuition: Proximity
  10. 10 Model Intuition: Temporal Decay
  11. 11 Model: Calculate Features
  12. 12 Model: Example Feature (1)
  13. 13 Remember the Hilbert Curve?

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