NDLI: Utility-Based Anonymization for Continuous Data Publishing

Content Provider	IEEE Xplore Digital Library
Author	Pin Lv
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Wuhan Inst. of Technol., Wuhan (Pin Lv)
Abstract	Privacy preservation is an important issue in the release of data for mining purposes. In practical applications, data is published continuously as new data arrive. Recently, efficient anonymization for continuous data publishing has attracted much research work. However, a careful balance between privacy and utility for continuous data publishing remains an open problem. In this paper, we study the problem of utility-based anonymization for continuous data publishing. Armed with this utility metric, we will show how to make use of utility metric into anonymized tables. This information has an intuitive semantic meaning; it increases the utility beyond what is possible in the original k-anonymity and l-diversity frameworks. Furthermore, our utility-based method can boost the quality of analysis using the anonymized data.
Starting Page	290
Ending Page	295
File Size	446606
Page Count	6
File Format	PDF
ISBN	9780769534909
DOI	10.1109/PACIIA.2008.402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data privacy Publishing Hospitals Conferences Computer industry History Protection Mining industry Computational intelligence Diseases
Content Type	Text
Resource Type	Article

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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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An Anonymization Method Based on Tradeoff between Utility and Privacy for Data Publishing

Injector: Mining Background Knowledge for Data Anonymization

Extending l-Diversity for Better Data Anonymization

On the Anonymization of Sparse High-Dimensional Data

Task Independent Privacy Preserving Data Mining on Medical Dataset

Anonymization technique through record elimination to preserve privacy of published data

Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing

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Utility-Based Anonymization for Continuous Data Publishing

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