Towards Flexible K-Anonymity
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | 7th International Conference on Knowledge Engineering and Semantic Web |
| Year: | 2016 |
| Month: | September |
| Pages: | 288-297 |
| Publisher: | Springer |
| Location: | Prague, Czech Republic |
| ISBN: | 978-3-319-45880-9 |
| URL: | http://link.springer.com/chapt... |
| DOI: | 10.1007/978-3-319-45880-9_22 |
| Abstract: | Data published online nowadays needs a high level of privacy to gain confidentiality as well as to maintain the privacy laws. The focus on k-anonymity enhancements along the last decade, allows this method to be elected as the starting point of any research. In this paper we focus on the external anonymization through a new method: the « Flexible k-anonymity » . It aims to anonymize external published data, by defining a semantic ontology that distinguishes between sparse and abundant quasi-identifiers, and describes aggregation levels relations, in order to achieve adequate k-blocks. For the validation of our proposal, we apply the aforementioned anonymization method to the Comiqual dataset. Comiqual (Collaborative measurement of internet quality), is a large-scale measurement platform for assessing the internet quality access of mobile and ADSL users by collecting mobility traces and private data related to internet metric values. |
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| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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