An effective value swapping method for privacy preserving data publishing-Reference-Cited by-同舟云学术

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An effective value swapping method for privacy preserving data publishing

Published:2016-07-07 Issue:16 Volume:9 Page:3219-3228
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Hasan A S M Touhidul¹²,Jiang Qingshan¹,Luo Jun¹,Li Chengming¹,Chen Lifei³

Affiliation:

1. Shenzhen Key Laboratory of High Performance Data Mining; Shenzhen Institute of Advanced Technology; 518055 China

2. University of Chinese Academy of Sciences; Beijing 100049 China

3. School of Mathematics and Computer Science; Fujian Normal University; Fuzhou 350117 China

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference24 articles.

1. Slicing: a new approach for privacy preserving data publishing;Li;IEEE Transactions on Knowledge and Data Engineering,2012

2. Privacy-preserving data publishing: an overview;Wong;Synthesis Lectures on Data Management,2010

3. k-anonymity: a model for protecting privacy;Sweeney;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,2002

4. l-diversity: privacy beyond k-anonymity;Machanavajjhala;ACM Transactions on Knowledge Discovery from Data (TKDD),2007

5. Li T Li N Injector: mining background knowledge for data anonymization In IEEE 24th International Conference on Data Engineering (ICDE 2008) IEEE Cancun, Mexico 2008 446 455

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3. Efficient perturbation techniques for preserving privacy of multivariate sensitive data;Array;2023-12

4. Survey on Privacy-Preserving Techniques for Microdata Publication;ACM Computing Surveys;2023-07-17

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