The Biggest Nightmare in Blockchain Analytics

Written by jrodthoughts | Published 2019/11/15
Tech Story Tags: blockchain | cryptocurrency | machine-learning | blockchain-analytics | blockchain-stats | hackernoon-top-story | anonymity-vs-interpretability

TLDR The architecture of most blockchains in the market relies on anonymity of pseudonymity as a mechanism to protect the privacy of its nodes and enable decentralization. The more anonymous a blockchain dataset is, the more difficult to extract meaningful intelligence from it. Identities provide context and context is a key building block of interpretability. The challenge of deanonymizing blockchains is more related to identifying key labels or attributes of a blockchain address rather than understanding specific identities. We can settle for identifying and understanding the behavior of known actors like exchanges, OTC desks, miners and other parties.via the TL;DR App

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Written by jrodthoughts | Chief Scientist, Managing Partner at Invector Labs. CTO at IntoTheBlock. Angel Investor, Writer, Boa
Published by HackerNoon on 2019/11/15