Narayanan, A. & Shmatikov, V.: How To Break Anonymity of the Netflix Prize Dataset. , 2006
[Volltext]
We present a new class of statistical de-anonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. Our techniques are robust to perturbation in the data and tolerate some mistakes in the adversary's background knowledge.
@misc{narayanan-2006,
author = {Narayanan, Arvind and Shmatikov, Vitaly},
title = {How To Break Anonymity of the Netflix Prize Dataset},
year = {2006},
url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0610105},
keywords = {Preis, anonymity, dataset, netflix, prize, recommender},
abstract = { We present a new class of statistical de-anonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. Our techniques are robust to perturbation in the data and tolerate some mistakes in the adversary's background knowledge.}
}