Extracting knowledge from cryptocurrencies
summary
Describes using BitIodine—an open modular blockchain analysis framework—to cluster addresses (70–80% clusterable) by multi-input and change heuristics, exploiting a change-address bug 2009–2013 that made change predictable, and following coins through mixers to tie Silk Road-related funds (one cluster linked to 25,000+ addresses, 26,000+ Bitcoins implicated, 600,000 seized). Traces CryptoLocker payments to identify 771 ransoms totalling about $1.2M, and contrasts Bitcoin’s traceability with Monero’s ring signatures and zcash’s ZK‑SNARKs plus trusted‑setup risks.
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chapters (11)
- 0:00Start
- 0:29Extracting Knowledge from Cryptocurrencies
- 2:01Is Bitcoin Anonymous
- 7:28A Transaction Graph
- 10:57Shadow Addresses or Change Addresses
- 15:41Classifier
- 18:06The Silk Road
- 27:16Cryptolocker
- 30:23The Future of Cryptocurrencies
- 30:43Ips Bitcoin Improvement Proposals
- 31:32Monero
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