Results 151 to 160 of about 7,115,390 (197)

Thoughts on k-Anonymization

22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
k-Anonymity is a method for providing privacy protection by ensuring that data cannot be traced to an individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. To achieve optimal and practical k-anonymity, recently, many different kinds of algorithms with various assumptions and restrictions have been proposed with ...
Mehmet Ercan Nergiz, Chris Clifton
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k-Anonymization Revisited

2008 IEEE 24th International Conference on Data Engineering, 2008
In this paper we introduce new notions of k-type anonymizations. Those notions achieve similar privacy goals as those aimed by Sweenie and Samarati when proposing the concept of k-anonymization: an adversary who knows the public data of an individual cannot link that individual to less than k records in the anonymized table. Every anonymized table that
Aristides Gionis, Arnon Mazza, Tamir Tassa   +2 more
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k-Anonymous data collection

Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng Zhong 0002, Zhiqiang Yang, Tingting Chen 0001   +2 more
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Hardness of \(k\)-anonymous microaggregation

Discret. Appl. Math., 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Florian Thaeter, Rüdiger Reischuk
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On Distributed k-Anonymization

Fundamenta Informaticae, 2009
When a database owner needs to disclose her data, she can k-anonymize her data to protect the involved individuals' privacy. However, if the data is distributed between two owners, then it is an open question whether the two owners can jointly k-anonymize the union of their data, such that the information suppressed in one owner's data is not revealed ...
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K-Anonymity for Crowdsourcing Database

IEEE Transactions on Knowledge and Data Engineering, 2014
In crowdsourcing database, human operators are embedded into the database engine and collaborate with other conventional database operators to process the queries. Each human operator publishes small HITs (Human Intelligent Task) to the crowdsourcing platform, which consist of a set of database records and corresponding questions for human workers. The
Sai Wu, Xiaoli Wang 0002, Sheng Wang 0011, Zhenjie Zhang, Anthony K. H. Tung   +4 more
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Differentially Private K-Anonymity

2014 12th International Conference on Frontiers of Information Technology, 2014
Research in privacy preserving data publication can be broadly categorized in two classes. Syntactic privacy definitions have been under the cursor of the research community for the past many years. A lot of research is primarily dedicated to developing algorithms and notions for syntactic privacy that thwart the re-identification attacks.
Adeel Anjum, Adnan Anjum
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A Hybrid Method for k-Anonymization

2008 IEEE Asia-Pacific Services Computing Conference, 2008
K-anonymity is a model to protect public released microdata from individual identification. It requires that each record is identical to at least k-1 other records in the anonymized dataset with respect to a set of privacy-related attributes. Although it is easy to anonymize the original dataset to satisfy the requirement of k-anonymity, it is ...
Jun-Lin Lin, Meng-Cheng Wei, Chih-Wen Li, Kuo-Chiang Hsieh   +3 more
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On the complexity of optimal K-anonymity

Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2004
The technique of k-anonymization has been proposed in the literature as an alternative way to release public information, while ensuring both data privacy and data integrity. We prove that two general versions of optimal k-anonymization of relations are NP-hard, including the suppression version which amounts to choosing a minimum number of entries to ...
Adam Meyerson, Ryan Williams 0001
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A Personalized (a,k)-Anonymity Model

2008 The Ninth International Conference on Web-Age Information Management, 2008
One important privacy principle is that an individual has the freedom to decide his/her own privacy preferences, which should be taken into account when data holders release their privacy preserving micro data. Nevertheless, current related k-anonymity model research focuses on protecting individual private information by using pre-defined constraint ...
Xiaojun Ye, Yawei Zhang, Ming Liu
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