Abstract
Mixer services purportedly remove all connections between the input (deposited) Bitcoins and the output (withdrawn) mixed Bitcoins, seemingly rendering taint analysis tracking ineffectual. In this paper, we introduce and explore a novel tracking strategy, called Address Taint Analysis, that adapts from existing transaction-based taint analysis techniques for tracking Bitcoins that have passed through a mixer service. We also investigate the potential of combining address taint analysis with address clustering and backward tainting. We further introduce a set of filtering criteria that reduce the number of false-positive results based on the characteristics of withdrawn transactions and evaluate our solution with verifiable mixing transactions of nine mixer services from previous reverse-engineering studies. Our findings show that it is possible to track the mixed Bitcoins from the deposited Bitcoins using address taint analysis and the number of potential transaction outputs can be significantly reduced with the filtering criteria.
For the full version of the paper please visit: https://arxiv.org/abs/2009.14007.
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Tironsakkul, T., Maarek, M., Eross, A., Just, M. (2020). Tracking Mixed Bitcoins. In: Garcia-Alfaro, J., Navarro-Arribas, G., Herrera-Joancomarti, J. (eds) Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM CBT 2020 2020. Lecture Notes in Computer Science(), vol 12484. Springer, Cham. https://doi.org/10.1007/978-3-030-66172-4_29
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DOI: https://doi.org/10.1007/978-3-030-66172-4_29
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