Automatic sanitization of social network data to prevent inference attacks
Raymond D. Heatherly, Murat Kantarcıoğlu · 2011
As the privacy concerns related to information release in social networks become a more mainstream concern, data owners will need to utilize a variety of privacy-preserving methods of examining this data. Here, we propose a method of data generalization that applies to social networks and present some initial findings for the utility/privacy tradeoff required for its use.