Every ROSE Has Its Thorn - The Dark Art of Remote Online Social Engineering

Every ROSE Has Its Thorn - The Dark Art of Remote Online Social Engineering

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Case study I: Mark and John (UK, 2003)

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4 of 45

Case study I: Mark and John (UK, 2003)

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Classroom Contents

Every ROSE Has Its Thorn - The Dark Art of Remote Online Social Engineering

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  1. 1 Intro
  2. 2 Traditional online deception types
  3. 3 Catfishing
  4. 4 Case study I: Mark and John (UK, 2003)
  5. 5 Case study II: Robin Sage (US, 2010)
  6. 6 Chapter II: Attack
  7. 7 Filters
  8. 8 Methodology outline
  9. 9 Persona construction
  10. 10 Establishing credibility
  11. 11 Building a synthetic network
  12. 12 The hook
  13. 13 Maintenance
  14. 14 Priming
  15. 15 The pay-off
  16. 16 Case study IV: Mia Ash (Middle East, 2017)
  17. 17 Case study V: Syria, 2015
  18. 18 Ethics and legality
  19. 19 Chapter III: Defence
  20. 20 Challenges for defenders
  21. 21 Understanding deception
  22. 22 Why do we fall for it?
  23. 23 Interpersonal deception theory
  24. 24 Expanded prominence-interpretation theory
  25. 25 Media richness theory
  26. 26 Media synchronicity theory
  27. 27 Communication accommodation theory
  28. 28 Cognitive load
  29. 29 Strategies, processes and detection
  30. 30 Detecting deception
  31. 31 Linguistic markers
  32. 32 Forensic linguistics
  33. 33 Case study VI: Diederik Stapel
  34. 34 Passive detection
  35. 35 Active detection
  36. 36 Chapter IV: Fighting back
  37. 37 Turning the tables
  38. 38 Case study VII: Shannen Rossmiller
  39. 39 Chapter V: Conclusions
  40. 40 ROSE detection checklist
  41. 41 Future research
  42. 42 Shameless plug
  43. 43 Black Hat Sound Bytes
  44. 44 Feedback, questions, collaboration
  45. 45 References

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