Parameter determination of ONN (Ordered Neural Networks)
Visualitza/Obre
Tipus de documentReport de recerca
Data publicació2007
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The need for data privacy motivates the development of new methods that allow to protect data minimizing the disclosure risk without losing information. In this paper, we propose a new protection method for
numerical data called Ordered Neural Networks (ONN) method. ONN presents a new way to protect data based on the use of Artificial Neural Networks (ANN). ONN combines the use of ANN with a new strategy for preprocessing data consisting in the vectorization, sorting and partitioning of all the values in the attributes to be protected in the data set. We also present an statistical analysis that allows to understand the most important parameters affecting the quality of our method, and we show that it is possible to find a good configuration for these parameters. Finally,
we compare our method to the best methods presented in the literature, using data provided by the US Census Bureau. Our experiments show that ONN outperforms the previous methods proposed in the literature,
proving that the use of ANNs in these situations is convenient to protect the data efficiently without losing the statistical properties of the set.
CitacióPont, J. [et al.]. "Parameter determination of ONN (Ordered Neural Networks)". 2007.
URL repositori externhttp://personals.ac.upc.edu/nin/papers/onn.tr.pdf
Col·leccions
- DMAG - Grup d'Aplicacions Multimèdia Distribuïdes - Reports de recerca [3]
- Departament de Teoria del Senyal i Comunicacions - Reports de recerca [198]
- Departament d'Arquitectura de Computadors - Reports de recerca [181]
- DAMA-UPC - Data Management Group de la Universitat Politècnica de Catalunya - Reports de recerca [2]
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
onn.tr.pdf | 342,7Kb | Visualitza/Obre |