Title | Dynamic anonymous index for confidential data |
Publication Type | Conference Paper |
Year of Publication | 2014 |
Authors | Navarro-Arribas G, Abril D, Torra V |
Editor | Garcia-Alfaro J, Lioudakis G, Cuppens-Boulahia N, Foley S, Fitzgerald WM |
Conference Name | Data Privacy Management and Autonomous Spontaneous Security |
Publisher | Springer |
Pagination | 362–368 |
ISBN Number | isbn=978-3-642-54567-2 |
Keywords | dynamic anonimization |
Abstract | In this paper we introduce a k-anonymous vector space model, which can be used as an index of a set of confidential documents. This model allows to index, for example, encrypted data. New documents can be added or removed while maintaining the k-anonymity property of the vector space. |
URL | http://dx.doi.org/10.1007/978-3-642-54568-9_23 |