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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.
Keywords:
Authors Kilany, Rima
Maria, Sokhn
Hellani, Hussein
Shabani, Shaban
Added by: []
Total mark: 0
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  • paper_51.pdf
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