Database Anonymization

Database Anonymization
Автор книги: id книги: 1573130     Оценка: 0.0     Голосов: 0     Отзывы, комментарии: 0 2775,64 руб.     (30,24$) Читать книгу Купить и скачать книгу Купить бумажную книгу Электронная книга Жанр: Компьютеры: прочее Правообладатель и/или издательство: Ingram Дата добавления в каталог КнигаЛит: ISBN: 9781681731988 Скачать фрагмент в формате   fb2   fb2.zip Возрастное ограничение: 0+ Оглавление Отрывок из книги

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Описание книги

The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the data refer to. Disclosure risk limitation has a long record in the statistical and computer science research communities, who have developed a variety of privacy-preserving solutions for data releases. This Synthesis Lecture provides a comprehensive overview of the fundamentals of privacy in data releases focusing on the computer science perspective. Specifically, we detail the privacy models, anonymization methods, and utility and risk metrics that have been proposed so far in the literature. Besides, as a more advanced topic, we identify and discuss in detail connections between several privacy models (i.e., how to accumulate the privacy guarantees they offer to achieve more robust protection and when such guarantees are equivalent or complementary); we also explore the links between anonymization methods and privacy models (how anonymization methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees). These latter topics are relevant to researchers and advanced practitioners, who will gain a deeper understanding on the available data anonymization solutions and the privacy guarantees they can offer.

Оглавление

David Sánchez. Database Anonymization

Отрывок из книги

Database Anonymization

Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections

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9.2 Differentially Private Data Sets by Insensitive Microaggregation

9.3 General Insensitive Microaggregation

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