Little or no research has been directed to analysis and researching forensic
analysis of the Bitcoin mixing or ‘tumbling’ service themselves. This work is
intended to examine effective tooling and methodology for recovering forensic
artifacts from two privacy focused mixing services namely Obscuro which uses
the secure enclave on intel chips to provide enhanced confidentiality and
Wasabi wallet which uses CoinJoin to mix and obfuscate crypto currencies. These
wallets were set up on VMs and then several forensic tools used to examine
these VM images for relevant forensic artifacts. These forensic tools were able
to recover a broad range of forensic artifacts and found both network forensics
and logging files to be a useful source of artifacts to deanonymize these
mixing services.

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