Understanding Old Malware Tricks to Find New Malware Families

Understanding Old Malware Tricks to Find New Malware Families

Black Hat via YouTube Direct link

Combining

10 of 50

10 of 50

Combining

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Understanding Old Malware Tricks to Find New Malware Families

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  1. 1 Introduction
  2. 2 Who are we
  3. 3 Phishing
  4. 4 Ransomware
  5. 5 Normal Hunting
  6. 6 Common Networks
  7. 7 Network Size
  8. 8 Big Data
  9. 9 Machine Learning
  10. 10 Combining
  11. 11 Challenges
  12. 12 Muller Dynamic
  13. 13 Metadata
  14. 14 Other Changes
  15. 15 Basic Features
  16. 16 Flowbased
  17. 17 Bagbased
  18. 18 Examples
  19. 19 Action Recognition
  20. 20 Overview
  21. 21 Multiple Instance Learning Approach
  22. 22 HTML paper
  23. 23 Training Data
  24. 24 Positive Unlabeled Training
  25. 25 Random Product
  26. 26 Neural Networks
  27. 27 Classification Topology
  28. 28 Active Learning
  29. 29 Classification Module
  30. 30 Summary
  31. 31 Mark the relatives
  32. 32 Thread analyse
  33. 33 N stranger
  34. 34 Audience Changer
  35. 35 Source Source
  36. 36 Mamba
  37. 37 In summary
  38. 38 Advertising gone rogue
  39. 39 Traffic in the network
  40. 40 Second opinion
  41. 41 Popnet
  42. 42 Mapping the infrastructure
  43. 43 Host names
  44. 44 The finish
  45. 45 The algorithm
  46. 46 More campaigns
  47. 47 Conclusions
  48. 48 What got us here
  49. 49 Questions
  50. 50 Future of security

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