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A Hybrid Method for k-Anonymization
2008 IEEE Asia-Pacific Services Computing Conference, 2008K-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 +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, 2004The 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, 2008One 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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The Classification of k-anonymity Data
2011 Seventh International Conference on Computational Intelligence and Security, 2011In recent years, anonymization methods have emerged as an important tool to preserver individual privacy when relasing privacy sensitive data. All of these methods are under different privacy and utility assumption. But there has been little research addressing how to effectively use the anonymized data for data mining.
Bingchun Lin, Guohua Liu
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Mondrian Multidimensional K-Anonymity
22nd International Conference on Data Engineering (ICDE'06), 2006K-Anonymity has been proposed as a mechanism for protecting privacy in microdata publishing, and numerous recoding "models" have been considered for achieving 𝑘anonymity. This paper proposes a new multidimensional model, which provides an additional degree of flexibility not seen in previous (single-dimensional) approaches. Often this flexibility leads
Kristen LeFevre +2 more
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2012
Privacy is one of major concerns when data containing sensitive information needs to be released for ad hoc analysis, which has attracted wide research interest on privacy-preserving data publishing in the past few years. One approach of strategy to anonymize data is generalization.
Xianmang He +5 more
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Privacy is one of major concerns when data containing sensitive information needs to be released for ad hoc analysis, which has attracted wide research interest on privacy-preserving data publishing in the past few years. One approach of strategy to anonymize data is generalization.
Xianmang He +5 more
openaire +1 more source
k-anonymous message transmission
Proceedings of the 10th ACM conference on Computer and communications security, 2003Informally, a communication protocol is sender k - anonymous if it can guarantee that an adversary, trying to determine the sender of a particular message, can only narrow down its search to a set of k suspects. Receiver k-anonymity places a similar guarantee on the receiver: an adversary, at best, can only narrow down the possible receivers to a set ...
Luis von Ahn +2 more
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Approximate algorithms for K-anonymity
Proceedings of the 2007 ACM SIGMOD international conference on Management of data, 2007When a table containing individual data is published, disclosure of sensitive information should be prohibitive. A naive approach for the problem is to remove identifiers such as name and social security number. However, linking attacks which joins the published table with other tables on some attributes, called quasi-identifier, may reveal the ...
Hyoungmin Park, Kyuseok Shim
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Towards optimal k-anonymization
Data & Knowledge Engineering, 2008When 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
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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
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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