Document - Assessing privacy risk in retail data

2017

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Assessing privacy risk in retail data

Pellungrini R., Pratesi F., Pappalardo L.

Privacy Data mining Retail data

Retail data are one of the most requested commodities by commercial companies. Unfortunately, from this data it is possible to retrieve highly sensitive information about individuals. Thus, there exists the need for accurate individual privacy risk evaluation. In this paper, we propose a methodology for assessing privacy risk in retail data. We define the data formats for representing retail data, the privacy framework for calculating privacy risk and some possible privacy attacks for this kind of data. We perform experiments in a real-world retail dataset, and show the distribution of privacy risk for the various attacks.

Source: Personal Analytics and Privacy. An Individual and Collective Perspective, edited by Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul, pp. 17–22, 2017

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@inbook{oai:it.cnr:prodotti:385734,
	title = {Assessing privacy risk in retail data},
	author = {Pellungrini R. and Pratesi F. and Pappalardo L.},
	doi = {10.1007/978-3-319-71970-2_3},
	booktitle = {Personal Analytics and Privacy. An Individual and Collective Perspective, edited by Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul, pp. 17–22, 2017},
	year = {2017}
}