robust de-anonymization of large datasets (arXiv)

[Sarad AV]

The attack is possible because of the structure of the
database. section 3 of the paper goes as-" Define
database D to be a N*M matrix where each row is a
record associated with an individual..."

had the attributes been randomized across individuals,
it would not be possible to tie up the attributes to
any specific user.

Nevertheless, it is very handy for law enforcement,
with lots of mined data.

Sarad.


--- Eugen Leitl <eugen at leitl.org> wrote:

> 	http://arxiv.org/PS_cache/cs/pdf/0610/0610105v2.pdf
> 
> Robust De-anonymization of Large Datasets
> (How to Break Anonymity of the Netflix Prize
> Dataset)
> 
>



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