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Graph anonymization via metric embeddings: Using classical anonymization for graphs

Autor
Padrol, A.; Muntés, V.
Tipus d'activitat
Article en revista
Revista
Intelligent data analysis
Data de publicació
2014-05
Volum
18
Número
3
Pàgina inicial
365
Pàgina final
388
DOI
10.3233/IDA-140646
Projecte finançador
PROCESADO DE ALTO RENDIMIENTO DE GRANDES CONJUNTOS DE DATOS REPRESENTADOS COMO GRAFOS
Resum
With the unstoppable growth of applications requiring data to be represented as graphs, the interest for keeping this type of data private also grows. While many efforts have been made in order to anonymize tabular data, anonymizing graphs is a recent topic of research. Previous work on graph anonymization assumes that techniques proposed for tabular data are not suitable for anonymizing graph-like data because these ignore the topological properties of the graph. Because of this, they resort to...
Paraules clau
Graph Anonymization, Metric Embedding, Tabular Data Anonymization, Data Privacy
Grup de recerca
DAMA-UPC - Data Management Group

Participants

  • Padrol Sureda, Arnau  (autor)
  • Muntés Mulero, Víctor  (autor)