Privacy-Preserving Data Publishing
COMPARATIVE STUDY OF PRIVACY PRESERVING DATA PUBLISHING TECHNIQUES
... years, privacy is an important issue when one wants to make use of data that involves individuals sensitive ...individuals privacy is an important activity in data publishing. ...
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Take a Look over Privacy preserving Data Publishing Techniques
... useful data from a huge dataset is called as data ...extracted data. Interchange between data is needed ...and publishing data is become popular, leading to the need for ...
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A family of enhanced (L,alpha) diversity models for privacy preserving data publishing
... Privacy-preserving data publishing has been extensively studied in several other ...continual data publishing, i.e., re-publication of the data after it has been ...for ...
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A Review Of Synthetic Data Generation Methods For Privacy Preserving Data Publishing
... micro data by the organizations. This micro data contains detailed information of individual entities which may also contain their private and sensitive ...this data needs to be shared among multiple ...
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Privacy preserving data publishing based on sensitivity in context of Big Data using Hive
... existing privacy models and provides the dif- ferent way of ...a privacy-preserving data publishing method, namely MNSACM, to publish micro data with multiple numerical sensitive ...
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An Analytical Study on Privacy Preserving Data Publishing using Generalization and Suppression
... of privacy preserving data publishing which are viewed as solid assurance to keep away from information exposure and ensure people's ...shifting data publishing situations to ...
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A Novel Anonymization Technique For Privacy Preserving Data Publishing
... Abstract—Privacy preserving data publishing approach provides some methods and tools for publishing useful information while preserving data ...for privacy ...
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A Survey on Methods, Attacks and Metric for Privacy Preserving Data Publishing
... publish data in a more unfriendly environment, so that the data remains practically useful without revealing sensitive ...as Privacy Preserving Data Mining ...like data base ...
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L diversity on K anonymity with External Database for Improving Privacy Preserving Data Publishing
... the privacy offered by the dataset, utility of the data ...and privacy depends on the dataset and value of k cannot be generalized for all datasets such that utility and privacy are ...and ...
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Privacy Preserving Data Publishing through Slicing
... recoding. In local recoding, one first groups tuples into buckets and then for each bucket, one replaces all values of one attribute with a generalized value. Such a recoding is local because the same attribute value may ...
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(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing
... The k-anonymity model protects identification information, but does not protect sensitive relationships in a data set. In this paper, we propose the (α, k)-anonymity model to protect both identifica- tions and ...
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Privacy Preserving Health Data Publishing using Secure two Party Algorithm
... private data publishing, where different attributes for the same set of individuals are held by two ...parties. Privacy-preserving data publishing addresses the problem of ...
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Strategic Modeling of Information Sharing among Data Privacy Attackers
... in privacy-preserving data publishing has revealed the necessity of accounting for an adversary’s background knowledge when reasoning about the protection afforded by various anonymization ...
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SMMCOA: Maintaining Multiple Correlations between Overlapped Attributes Using Slicing Technique
... The main objective of SMMCOA is to design and develop A Model for privacy preserving data publishing where correlations between attributes are maintained in the presence of overlapped ...
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Anonymization on Refining Partition: Same Privacy, More Utility
... In privacy preserving data publishing, to reduce the correlation loss between sensitive attribute (SA) and non-sensitive attributes(NSAs) caused by anonymization methods (such as ...
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Slicing Technique to Prevent Generalized Losses and Membership Disclosure in Micro Data Publishing
... ABSTRACT: Privacy preserving data mining techniques helps in providing security to sensitive information from unauthorized ...of data is collected in many organizations through data ...
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Data Privacy in Data Engineering, the Privacy Preserving Models and Techniques in Data Mining and Data Publishing: Contemporary Affirmation of the Recent Literature
... a privacy-preserving data engineering methods is given and difference between privacy- preserving data publishing and privacy-preserving data mining ...
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Privacy Preserving Unstructured Data Publishing (PPUDP) Approach for Big Data
... to privacy preserving data publishing for unstructured text documents (PPUDP) at data provider level and data collector level such that he/she can able to classify automatically ...
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An Enhancement in Privacy Preserving Techniques for Collaborative Data Publishing
... generalization privacy mechanism was given by Tristan Allard et al [5] ...the data source (i.e., at each SPT) while compromising neither privacy nor data utility compared to a trusted central ...
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K-repeating Substrings: a String-Algorithmic Approach to Privacy-Preserving Publishing of Textual Data
... textual data is an important task for publishing and sharing the data among researchers while protecting privacy of indi- viduals referenced ...
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