Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques, 1st Edition (e-Book) book cover

Introduction to Privacy-Preserving Data Publishing

Concepts and Techniques, 1st Edition

By Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu

Chapman and Hall/CRC

376 pages

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pub: 2010-08-02
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Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int

Table of Contents

The Fundamentals. Anonymization for Data Mining. Extended Data Publishing Scenarios. Anonymizing Complex Data. References.

About the Authors

Benjamin C. M. Fung is an assistant professor in the Concordia Institute for Information Systems Engineering at Concordia University in Montreal, Quebec. Dr. Fung is also a research scientist and the treasurer of the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada).

Ke Wang is a professor in the School of Computing Science at Simon Fraser University in Burnaby, British Columbia.

Ada Wai-Chee Fu is an associate professor in the Department of Computer Science and Engineering at the Chinese University of Hong Kong.

Philip S. Yu is a professor in the Department of Computer Science and the Wexler Chair in Information and Technology at the University of Illinois at Chicago.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
COMPUTERS / Database Management / General
COMPUTERS / Database Management / Data Mining
COMPUTERS / Security / General