| 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 |
