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[tor-talk] Bayesian Imputation for Anonymous Visits

A recent Schneier blog points to this research

Summarizing, it seems possible to match anonymized users (at least in a
marketing profile sense) to registered users or past purchasers, by
analyzing how they interact with a site.  I wonder how applicable this
is to non-marketing contexts.

Assuming the above is at all effective in narrowing down the anonymity
set further, it underscores the need to either change behaviour randomly
or behave like everyone else using TBB or Tails.

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