a fistful of bitcoins characterizing payments among men
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A Fistful of Bitcoins: Characterizing Payments Among Men with No - PowerPoint PPT Presentation

A Fistful of Bitcoins: Characterizing Payments Among Men with No Names Sarah Meiklejohn (UC San Diego) Marjori Pomarole (UC San Diego) Grant Jordan (UC San Diego) Kirill Levchenko (UC San Diego) Damon McCoy (George Mason University) Geoff


  1. Heuristic 2 To identify change addresses, look for “one-time” output address pk If there is exactly one such address, label it the change address This isn’t conservative enough! • Wait a week before identifying address 15

  2. Heuristic 2 To identify change addresses, look for “one-time” output address pk If there is exactly one such address, label it the change address This isn’t conservative enough! • Wait a week before identifying address • Ignore “self-change” addresses 15

  3. Heuristic 2 To identify change addresses, look for “one-time” output address pk If there is exactly one such address, label it the change address This isn’t conservative enough! • Wait a week before identifying address • Ignore “self-change” addresses • Manually inspect some remaining addresses 15

  4. Data collection 16

  5. Data collection Engaged in transactions with: 16

  6. Data collection Engaged in transactions with: • Exchanges 16

  7. Data collection Engaged in transactions with: • Exchanges • Vendors 16

  8. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools 16

  9. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools • Gambling sites 16

  10. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools • Gambling sites • Wallet services 16

  11. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools • Gambling sites • Wallet services • Mix services 16

  12. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools • Gambling sites • Wallet services • Mix services Scraped published tags 16

  13. Data collection Engaged in transactions with: • Exchanges • Vendors • Mining pools • Gambling sites • Wallet services • Mix services Scraped published tags Found addresses discussed on forums 16

  14. Exchanges 17

  15. Vendors 18

  16. Published tags 19

  17. Trolling Bitcoin forums 20

  18. Trolling Bitcoin forums 20

  19. Trolling Bitcoin forums 20

  20. Putting it all together 21

  21. Putting it all together Transact us them 21

  22. Putting it all together Transact us them 21

  23. Putting it all together Cluster Transact us them 21

  24. Putting it all together Cluster Transact us them 21

  25. Putting it all together Cluster Bootstrap Transact us them 21

  26. Putting it all together Cluster Bootstrap Transact us them 21

  27. Putting it all together Cluster Bootstrap Transact us them Interacted with 31 MtGox addresses, tagged 518,723! Participated in 344 transactions and tagged 1.3M public keys 21

  28. Outline Cryptographic background How does Bitcoin work? Analysis Results Results Conclusions Overall statistics Tracking cluster activity 22

  29. Clustering using our heuristics 23

  30. Clustering using our heuristics bicycle wheel with gambling at center 23

  31. Clustering using our heuristics strongly connected component with most of our named users bicycle wheel with gambling at center 23

  32. Following bitcoins 24

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