NDLI: Efficient microaggregation techniques for large numerical data volumes

Content Provider	Springer Nature Link
Author	Solé, Marc Muntés Mulero, Victor Nin, Jordi
Copyright Year	2012
Abstract	The contradictory requirements of data privacy and data analysis have fostered the development of statistical disclosure control techniques. In this context, microaggregation is one of the most frequently used methods since it offers a good trade-off between simplicity and quality. Unfortunately, most of the currently available microaggregation algorithms have been devised to work with small datasets, while the size of current databases is constantly increasing. The usual way to tackle this problem is to partition large data volumes into smaller fragments that can be processed in reasonable time by available algorithms. This solution is applied at the cost of losing quality. In this paper, we revisited the computational needs of microaggregation showing that it can be reduced to two steps: sorting the dataset with regard to a vantage point and a set of k-nearest neighbors searches. Considering this new point of view, we propose three new efficient quality-preserving microaggregation algorithms based on k-nearest neighbors search techniques. We present a comparison of our approaches with the most significant strategies presented in the literature using three real very large datasets. Experimental results show that our proposals overcome previous techniques by keeping a better balance between performance and the quality of the anonymized dataset.
Starting Page	253
Ending Page	267
Page Count	15
File Format	PDF
ISSN	16155262
Journal	International Journal of Information Security
Volume Number	11
Issue Number	4
e-ISSN	16155270
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-02-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Microaggregation Statistical disclosure control Large data volumes k-nearest neighbors search Communications Engineering, Networks Operating Systems Computer Communication Networks Coding and Information Theory Management of Computing and Information Systems Data Encryption
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Safety, Risk, Reliability and Quality Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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