Deep Learning for Realtime Malware Detection

Deep Learning for Realtime Malware Detection

0xdade via YouTube Direct link

Model as a Service

36 of 40

36 of 40

Model as a Service

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Classroom Contents

Deep Learning for Realtime Malware Detection

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  1. 1 Intro
  2. 2 Disclaimer
  3. 3 Malware Happens
  4. 4 Stopping Malware
  5. 5 Domain Generation Algorithms (DGA)
  6. 6 Combatting DGAS
  7. 7 Algorithmically Generated Text Stands Out
  8. 8 The Problem Statement
  9. 9 Project Alphabet Soup
  10. 10 The Models
  11. 11 Bigram Collocation
  12. 12 Collocation Results
  13. 13 Deep Learning Data
  14. 14 Model Architecture
  15. 15 Translating a Domain for ML
  16. 16 Embedding Layer
  17. 17 Character Embedding
  18. 18 LSTM Layer
  19. 19 Neural Networks for Sequential Input
  20. 20 Long Short-Term Memory Networks
  21. 21 LSTM Neurons Take Sequential Inputs
  22. 22 LSTMs Capture Temporal Dependencies
  23. 23 LSTMs Maintain State
  24. 24 Basics of CNN
  25. 25 Convolutional Neural Network
  26. 26 CNN for Text Analysis
  27. 27 Hidden Layer
  28. 28 The Output
  29. 29 Understanding Scoring
  30. 30 Investigation
  31. 31 Findings
  32. 32 Anatomy of a C&C network
  33. 33 Other Suspicious Activity
  34. 34 Trojan?
  35. 35 Deployment
  36. 36 Model as a Service
  37. 37 Wrapping Up
  38. 38 Questions?
  39. 39 LSTM Architecture
  40. 40 Detailed Ensemble Arch

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