论文信息 - Towards the Anonymisation of RDF Data

Towards the Anonymisation of RDF Data

Privacy protection in published data sets is of crucial importance, and anonymisation is one well-known technique for privacy protection that has been successfully used in practice. However, existing anonymisation frameworks have in mind spe- cific data structures (i.e., tabular data) and, because of this, these frameworks are difficult to apply in the case of RDF data. This paper presents an RDF anonymisation framework that has been developed to address the particularities of the RDF specification. Such framework includes an anonymisation model for RDF data, a set of anonymisation operations for the implementation of such model, and a metric for measuring precision and distortion of anonymised RDF data. Furthermore, this paper presents a use case of the proposed RDF anonymisation framework.

[1] Latanya Sweeney,et al. k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[2] ASHWIN MACHANAVAJJHALA,et al. L-diversity: privacy beyond k-anonymity , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[3] Pierangela Samarati,et al. Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression , 1998 .

[4] Pierangela Samarati,et al. Protecting Respondents' Identities in Microdata Release , 2001, IEEE Trans. Knowl. Data Eng..

[5] Torsten Werner. Introduction To Privacy Preserving Data Publishing Concepts And Techniques , 2016 .

[6] Latanya Sweeney,et al. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..