Document - Privacy risk for individual basket patterns

2019

Conference article Open Access

Privacy risk for individual basket patterns

Pellungrini R., Monreale A., Guidotti R.

Privacy Risk Individual Pattern Mining

Retail data are of fundamental importance for businesses and enterprises that want to understand the purchasing behaviour of their customers. Such data is also useful to develop analytical services and for marketing purposes, often based on individual purchasing patterns. However, retail data and extracted models may also provide very sensitive information to possible malicious third parties. Therefore, in this paper we propose a methodology for empirically assessing privacy risk in the releasing of individual purchasing data. The experiments on real-world retail data show that although individual patterns describe a summary of the customer activity, they may be successful used for the customer re-identifiation.

Source: PAP 2018, pp. 141–155, Dublin, Ireland, 10/09/2018 - 14/09/2018

Publisher: Springer, Berlin, DEU

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:417425,
	title = {Privacy risk for individual basket patterns},
	author = {Pellungrini R. and Monreale A. and Guidotti R.},
	publisher = {Springer, Berlin, DEU},
	doi = {10.1007/978-3-030-13463-1_11},
	booktitle = {PAP 2018, pp. 141–155, Dublin, Ireland, 10/09/2018 - 14/09/2018},
	year = {2019}
}