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Towards optimal k-anonymization

Data & Knowledge Engineering, 2008
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in recent years is to use anonymization techniques such as generalization and suppression to ensure that the released data table satisfies the k-anonymity property.
Tiancheng Li, Ninghui Li 0001
openaire   +2 more sources

Towards Flexible K-Anonymity

2016
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.
Rima Kilany   +3 more
openaire   +1 more source

k-Anonymization with Minimal Loss of Information

IEEE Transactions on Knowledge and Data Engineering, 2007
The technique of k-anonymization allows the releasing of databases that contain personal information while ensuring some degree of individual privacy. Anonymization is usually performed by generalizing database entries. We formally study the concept of generalization, and propose two information-theoretic measures for capturing the amount of ...
Aristides Gionis, Tamir Tassa
openaire   +2 more sources

Efficient K-anonymization for privacy preservation

2008 12th International Conference on Computer Supported Cooperative Work in Design, 2008
Privacy preservation during cooperation has become an interesting issue in the last few years. This problem attracted much research work. k-anonymization is an efficient approach to protect data privacy. However, k-anonymization problem was proven NP-hard though the idea of k-anonymizafion is not complex.
Z. Liang, Ruizhong Wei
openaire   +2 more sources

k-Anonymity

2021
Sabrina De Capitani di Vimercati   +1 more
openaire   +1 more source

Anonymity on blockchain based e-cash protocols—A survey

Computer Science Review, 2021
Nitish Andola
exaly  

From K-anonymity to Differential Privacy back to K -anonymity!

2013
The research community has left no stone unturned in devising strategies for both syntactic and semantic privacy definitions. The literature on privacy protection reveals that no privacy model is capable of incorporating growing demands of data publication (e.g., the adversarial background, needs of data publisher, constraints on underlying dataset etc.
Anjum, Adeel   +2 more
openaire   +1 more source

What’s in a “Username”? The Effect of Perceived Anonymity on Herding in Crowdfunding

Information Systems Research, 2022
Xiangbin Yan, Yong Tan, Yi-Chun Ho
exaly  

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