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New method uses on-chain behavior to identify crypto exchange addresses on Ethereum

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method to identify centralized exchange (CEX) addresses on the Ethereum blockchain by analyzing their on-chain behavior. The study utilized Proof-of-Reserves disclosures from 15 CEXs and five non-CEX categories, deriving 58 behavioral features. A LightGBM model significantly outperformed a logistic regression model, achieving a macro PR-AUC of 0.9594 compared to 0.7697 with 17 selected features over a 730-day window. Key predictive signals identified through SHAP analysis included gas behavior, ERC-20 token activity, and internal transactions, offering a more interpretable approach to blockchain monitoring. AI

IMPACT Provides a more interpretable and accurate method for identifying cryptocurrency exchange addresses on the blockchain, potentially aiding in financial monitoring and security.

RANK_REASON Academic paper detailing a new classification framework and model performance. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method uses on-chain behavior to identify crypto exchange addresses on Ethereum

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Academic paper detailing a new classification framework and model performance. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Seongchan Park, Hyunho Jeon, Byungsoo Kang, Gaeun Kim, Minseob So, Seongyong Kim ·

    On-Chain Behavioral Signatures for Classifying Centralized Exchange Addresses on Ethereum Using Proof-of-Reserves

    arXiv:2610.41888v1 Announce Type: cross Abstract: Centralized exchanges (CEXs) are key gateways between traditional finance and digital asset markets, yet identifying their blockchain addresses remains challenging. Existing approaches often rely on opaque attribution labels or tr…

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