CrowdSource - Crowd Trained Machine Learning Model for Malware Capability Detection

CrowdSource - Crowd Trained Machine Learning Model for Malware Capability Detection

Black Hat via YouTube Direct link

Matrix Visualization

33 of 36

33 of 36

Matrix Visualization

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CrowdSource - Crowd Trained Machine Learning Model for Malware Capability Detection

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Motivation
  4. 4 Needs
  5. 5 Visualization
  6. 6 Automated Analysis Research
  7. 7 Project Structure
  8. 8 Motivation for Work
  9. 9 Training Data
  10. 10 Auto Document Detection
  11. 11 Datasets
  12. 12 Stack Overflow
  13. 13 Superuser
  14. 14 Experiment
  15. 15 Model Setup
  16. 16 Query Setup
  17. 17 Query Demo
  18. 18 Variable Success
  19. 19 Results
  20. 20 Custom Model
  21. 21 Bayesian Network
  22. 22 Socket
  23. 23 Proof Message
  24. 24 Inference
  25. 25 Bayesian Update
  26. 26 Accuracy
  27. 27 Precision Recall
  28. 28 Speed
  29. 29 Impact
  30. 30 Adaptability
  31. 31 Yarra
  32. 32 Malware Demographics
  33. 33 Matrix Visualization
  34. 34 Output
  35. 35 Sample
  36. 36 API Calls

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