Privacy-Preserving Data Publishing - Raymond Chi-Wing Wong,Ada Wai-Chee Fu
-40% koodiga BOOKS
Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data analysis, privacy-preserving techniques are often required to reduce the possibility of identifying sensitive information about individuals. For example, in medical data, sensitive information can be the fact that a particular patient suffers from HIV. In spatial data, sens ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-40% koodiga BOOKS
Meie tarnija laos
TOP
Heart Rate Variability: Science and Strategies for Peak Performance
Marco Altini, Sylvain Laborde, Dan Plews, Emma Mosley
-40% koodiga BOOKS
Lõppenud
TOP
Many Faces, One Purpose: A Manager's Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-40% koodiga BOOKS
Lõppenud
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-40% koodiga BOOKS
Lõppenud
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-40% koodiga BOOKS
Meie tarnija laos
TOP
Thinking in Systems: International Bestseller
-40% koodiga BOOKS
Meie tarnija laos
TOP
101 Things I Learned in Architecture School
-40% koodiga BOOKS
Meie tarnija laos
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-40% koodiga BOOKS
Meie tarnija laos
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-40% koodiga BOOKS
Meie tarnija laos
TOP
International Economics: Theory and Policy, Global Edition
Paul Krugman, Maurice Obstfeld, Marc Melitz
-40% koodiga BOOKS
Meie tarnija laos
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-40% koodiga BOOKS
Meie tarnija laos
TOP
Only Dull People Are Brilliant at Breakfast
-40% koodiga BOOKS
Meie tarnija laos
TOP
Playing It by the Book: Printed and Manuscript Book Games in Early Modern Europe
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-40% koodiga BOOKS
Meie tarnija laos
TOP
Nudge: Improving Decisions About Health, Wealth and Happiness
Cass R Sunstein, Richard H. Thaler
-40% koodiga BOOKS
Laos
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-40% koodiga BOOKS
Meie tarnija laos
Kirjeldus
Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data analysis, privacy-preserving techniques are often required to reduce the possibility of identifying sensitive information about individuals. For example, in medical data, sensitive information can be the fact that a particular patient suffers from HIV. In spatial data, sensitive information can be a specific location of an individual. In web surfing data, the information that a user browses certain websites may be considered sensitive. Consider a dataset containing some sensitive information is to be released to the public. In order to protect sensitive information, the simplest solution is not to disclose the information. However, this would be an overkill since it will hinder the process of data analysis over the data from which we can find interesting patterns. Moreover, in some applications, the data must be disclosed under the government regulations. Alternatively, the data owner can first modify the data such that the modified data can guarantee privacy and, at the same time, the modified data retains sufficient utility and can be released to other parties safely. This process is usually called as privacy-preserving data publishing. In this monograph, we study how the data owner can modify the data and how the modified data can preserve privacy and protect sensitive information. Table of Contents: Introduction / Fundamental Concepts / One-Time Data Publishing / Multiple-Time Data Publishing / Graph Data / Other Data Types / Future Research Directions
Lisateave
| Autor | Raymond Chi-Wing Wong, Ada Wai-Chee Fu |
|---|---|
| Kirjastaja | Springer International Publishing |
| Series | Synthesis Lectures on Data Management |
| Väljalaskeaasta | 2010 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783031007064 |