Introduction to Privacy-Preserving Data Publishing

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Release : 2010-08-02
Genre : Computers
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Book Rating : 506/5 ( reviews)

Introduction to Privacy-Preserving Data Publishing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Privacy-Preserving Data Publishing write by Benjamin C.M. Fung. This book was released on 2010-08-02. Introduction to Privacy-Preserving Data Publishing available in PDF, EPUB and Kindle. 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

Privacy-Preserving Data Publishing

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Release : 2009-10-14
Genre : Data mining
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Book Rating : 763/5 ( reviews)

Privacy-Preserving Data Publishing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Privacy-Preserving Data Publishing write by Bee-Chung Chen. This book was released on 2009-10-14. Privacy-Preserving Data Publishing available in PDF, EPUB and Kindle. This book is dedicated to those who have something to hide. It is a book about "privacy preserving data publishing" -- the art of publishing sensitive personal data, collected from a group of individuals, in a form that does not violate their privacy. This problem has numerous and diverse areas of application, including releasing Census data, search logs, medical records, and interactions on a social network. The purpose of this book is to provide a detailed overview of the current state of the art as well as open challenges, focusing particular attention on four key themes: RIGOROUS PRIVACY POLICIES Repeated and highly-publicized attacks on published data have demonstrated that simplistic approaches to data publishing do not work. Significant recent advances have exposed the shortcomings of naive (and not-so-naive) techniques. They have also led to the development of mathematically rigorous definitions of privacy that publishing techniques must satisfy; METRICS FOR DATA UTILITY While it is necessary to enforce stringent privacy policies, it is equally important to ensure that the published version of the data is useful for its intended purpose. The authors provide an overview of diverse approaches to measuring data utility; ENFORCEMENT MECHANISMS This book describes in detail various key data publishing mechanisms that guarantee privacy and utility; EMERGING APPLICATIONS The problem of privacy-preserving data publishing arises in diverse application domains with unique privacy and utility requirements. The authors elaborate on the merits and limitations of existing solutions, based on which we expect to see many advances in years to come.

Privacy-preserving Data Publishing

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Release : 2010
Genre : Computers
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Book Rating : 166/5 ( reviews)

Privacy-preserving Data Publishing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Privacy-preserving Data Publishing write by Raymond Chi-Wing Wong. This book was released on 2010. Privacy-preserving Data Publishing available in PDF, EPUB and Kindle. 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

Privacy-Preserving Data Mining

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Release : 2008-06-10
Genre : Computers
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Book Rating : 924/5 ( reviews)

Privacy-Preserving Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Privacy-Preserving Data Mining write by Charu C. Aggarwal. This book was released on 2008-06-10. Privacy-Preserving Data Mining available in PDF, EPUB and Kindle. Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

Research Anthology on Privatizing and Securing Data

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Release : 2021-04-23
Genre : Computers
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Book Rating : 556/5 ( reviews)

Research Anthology on Privatizing and Securing Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Research Anthology on Privatizing and Securing Data write by Management Association, Information Resources. This book was released on 2021-04-23. Research Anthology on Privatizing and Securing Data available in PDF, EPUB and Kindle. With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.