Brankovic, Ljiljana

Lopez, Nacho

Miller, Mirka

Sebe, Francesc

2014-06-18

<p>In order to protect privacy of social network participants, network graph data should be anonymised prior to its release. Most proposals in the literature aim to achieve <i>k</i>-anonymity under specific assumptions about the background information available to the attacker. Our method is based on randomizing the location of the triangles in the graph. We show that this simple method preserves the main structural parameters of the graph to a high extent, while providing a high re-identification confusion.</p>

Ars Mathematica Contemporanea, 7(2), p. 461-477

1855-3974

1855-3966

https://hdl.handle.net/1959.11/62036

Drustvo Matematikov, Fizikov in Astronomov,Society of Mathematicians, Physicists and Astronomers

Attribution 4.0 International

Triangle randomization for social network data anonymization

Journal Article

Publication