Towards flexible k-anonymity

Kilany, Rima (Université Saint Joseph, B.P. 11-0514, Riad El Solh, Lebanon) ; Maria, Sokhn (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Hellani, Hussein (Université Saint Joseph, Bir Hassna, B.P. 13-6007 Beirut, Lebanon) ; Shabani, Shaban (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

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.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Prague, Czech Republic, 21-23 September 2016
Date:
Prague, Czech Republic
21-23 September 2016
2016
Pagination:
pp. 288-297
Published in:
Knowledge Engineering and Semantic Web: proceedings of 7th International Conference on Knowledge Engineering and Semantic Web 2016
DOI:
ISSN:
1865-0929
Appears in Collection:

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 Record created 2016-10-04, last modified 2019-06-11

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