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A Review of Frequency Table Disclosure Control

Authors:
Alexander Latenko
Mortaza Shoae Bargh
Susan van den Braak
Marco Vink

Keywords: Data Protection; Disclosure Scenarios; Frequency

Abstract:
Abstract—Protecting personal data is a key requirement for properly sharing and opening data. With growing concerns regarding privacy, it is important to ensure that the personal data of individuals is not compromised or made public in Open Data initiatives. For the most part, the personal data protection fields for microdata and tabular data have been researched separately. This separation has caused both fields to have much overlapping research, particularly concerning the privacy and utility of the respective data types. This overlapping research, however, has not been well integrated between the fields. Recently, there have been developments and improvements for protecting microdata that are not being applied to the field of tabular data protection. In this work, the association between microdata and tabular data is formalized and used to link the personal data disclosure risks and the personal data protection models that can be applied to both microdata and tabular data.

Pages: 12 to 19

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-61208-760-3

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020