Research Article
Privacy Preserved Data Publishing Techniques for Tabular Data
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 151 - Issue 9 |
| Published: Oct 2016 |
| Authors: Keerthy C., Sabitha S. |
10.5120/ijca2016911874
|
Keerthy C., Sabitha S. . Privacy Preserved Data Publishing Techniques for Tabular Data. International Journal of Computer Applications. 151, 9 (Oct 2016), 1-6. DOI=10.5120/ijca2016911874
@article{ 10.5120/ijca2016911874,
author = { Keerthy C.,Sabitha S. },
title = { Privacy Preserved Data Publishing Techniques for Tabular Data },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 151 },
number = { 9 },
pages = { 1-6 },
doi = { 10.5120/ijca2016911874 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Keerthy C.
%A Sabitha S.
%T Privacy Preserved Data Publishing Techniques for Tabular Data%T
%J International Journal of Computer Applications
%V 151
%N 9
%P 1-6
%R 10.5120/ijca2016911874
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Almost all countries have imposed strict laws on the disclosure of Personally Identifiable Information(PII). However PII need to be published for many purposes like research. In such cases, we apply different types of methods like anonymization, encryption etc. This paper discuss about the different methods of anonymization of tabular microdata. The most popular method of data anonymization of tabular data is k-anonymity. However, it suffers from many attacks and hence l-diversity was proposed. The l-diversity anonymization also possessed various limitations and hence t-closeness was proposed. This paper summarize these anonymization techniques and their limitations.
References
- Latanya Sweeney, Achieving k-anonymity Privacy Protection Using Generalization And Suppression in International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10(5), 2002; 571- 588
- Pierangela Samarati, Protecting Respondents’ Identities in Microdata Release in IEEE Transactions On Knowledge and Data Engineering, VOL. 13, NO. 6, November/December 2001
- Roberto J. Bayardo, Rakesh Agrawal, Data Privacy Through Optimal k-Anonymization in Proceedings of the 21st International Conference on Data Engineering 2005, 217-228, Tokyo, Japan
- Kristen LeFevre, David J. DeWitt, Raghu Ramakrishnan Incognito: Efficient full-domain k-anonymity in Proceedings of the 24th ACM SIGMOD International Conference on Management of Data, pp. 49-60, Baltimore, Maryland, USA.
- Kristen LeFevre, David J. DeWitt, Raghu Ramakrishnan, Mondrian Multidimensional K-Anonymity in Proceedings of the International Conference on Data Engineering (ICDE’06), Atlanta, GA, USA.
- Latanya Sweeney k-Anonymity: A Model For Protecting Privacy in International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), 2002; 557-570.
- Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, l- Diversity: Privacy Beyond k-Anonymity in Proceedings of the International Conference on Data Engineering(ICDE’06), Atlanta, GA, USA.
- Xiaokui Xiao, Yufei Tao Anatomy: Simple and Effective Privacy Preservation in Proceedings of the International Conference on Very Large Databases.
- Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian t- Closeness: Privacy Beyond k-Anonymity and l-Diversity in IEEE 23rd International Conference on Data Engineering, 2007.
- Ninghui Li, Ninghui Li, Venkatasubramanian, S Closeness: A New Privacy Measure for Data Publishing in IEEE Transactions on Knowledge and Data Engineering,Volume:22, Issue: 7 943 - 956, 2009.
- Kenneth L. Clarkson, Kun Liu, Evimaria Terzi Towards Identity Anonymization in Social Networks in Proceedings of the 2008 ACM SIGMOD International Conference on Data Management.
- Data Protection Laws of the World, https://www.dlapiperdataprotection.com
- S.Deebika, A.Sathyapriya, S.K.Kiruba Survey Result on Privacy Preserving Techniques in Data Publishing in International Journal of Latest Trends in Engineering and Technology Volume: 3 Issue:2 November 2013.
Index Terms
Keywords