Privacy Preserving Data Publishing

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Privacy-Preserving Data Publishing

Bee-Chung Chen,Daniel Kifer,Ashwin Machanavajjhala,Kristen LeFevre
Privacy Preserving Data Publishing Book PDF

Author : Bee-Chung Chen,Daniel Kifer,Ashwin Machanavajjhala,Kristen LeFevre
Publisher : Now Publishers Inc
Page : 183 pages
File Size : 40,9 Mb
Release : 2009-10-14
Category : Data mining
ISBN : 9781601982766

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Privacy-Preserving Data Publishing by Bee-Chung Chen,Daniel Kifer,Ashwin Machanavajjhala,Kristen LeFevre Pdf

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.

Introduction to Privacy-Preserving Data Publishing

Benjamin C.M. Fung,Ke Wang,Ada Wai-Chee Fu,Philip S. Yu
Introduction to Privacy Preserving Data Publishing Book PDF

Author : Benjamin C.M. Fung,Ke Wang,Ada Wai-Chee Fu,Philip S. Yu
Publisher : CRC Press
Page : 376 pages
File Size : 53,7 Mb
Release : 2010-08-02
Category : Computers
ISBN : 1420091506

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Introduction to Privacy-Preserving Data Publishing by Benjamin C.M. Fung,Ke Wang,Ada Wai-Chee Fu,Philip S. Yu Pdf

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. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data. This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions.

Privacy-Preserving Data Publishing

Raymond Chi-Wing Wong,Ada Wai-Chee
Privacy Preserving Data Publishing Book PDF

Author : Raymond Chi-Wing Wong,Ada Wai-Chee
Publisher : Springer Nature
Page : 128 pages
File Size : 51,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018343

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Privacy-Preserving Data Publishing by Raymond Chi-Wing Wong,Ada Wai-Chee Pdf

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

Charu C. Aggarwal,Philip S. Yu
Privacy Preserving Data Mining Book PDF

Author : Charu C. Aggarwal,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 48,8 Mb
Release : 2008-06-10
Category : Computers
ISBN : 9780387709925

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Privacy-Preserving Data Mining by Charu C. Aggarwal,Philip S. Yu Pdf

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

Management Association, Information Resources
Research Anthology on Privatizing and Securing Data Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2188 pages
File Size : 53,5 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9781799889557

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Research Anthology on Privatizing and Securing Data by Management Association, Information Resources Pdf

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.

Algorithms for Data and Computation Privacy

Alex X. Liu,Rui Li
Algorithms for Data and Computation Privacy Book PDF

Author : Alex X. Liu,Rui Li
Publisher : Springer Nature
Page : 404 pages
File Size : 52,6 Mb
Release : 2020-11-28
Category : Computers
ISBN : 9783030588960

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Algorithms for Data and Computation Privacy by Alex X. Liu,Rui Li Pdf

This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

Privacy Preserving Data Mining

Jaideep Vaidya,Christopher W. Clifton,Yu Michael Zhu
Privacy Preserving Data Mining Book PDF

Author : Jaideep Vaidya,Christopher W. Clifton,Yu Michael Zhu
Publisher : Springer Science & Business Media
Page : 124 pages
File Size : 42,9 Mb
Release : 2006-09-28
Category : Computers
ISBN : 9780387294896

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Privacy Preserving Data Mining by Jaideep Vaidya,Christopher W. Clifton,Yu Michael Zhu Pdf

Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.

Security Solutions and Applied Cryptography in Smart Grid Communications

Ferrag, Mohamed Amine,Ahmim, Ahmed
Security Solutions and Applied Cryptography in Smart Grid Communications Book PDF

Author : Ferrag, Mohamed Amine,Ahmim, Ahmed
Publisher : IGI Global
Page : 464 pages
File Size : 55,7 Mb
Release : 2016-11-29
Category : Computers
ISBN : 9781522518303

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Security Solutions and Applied Cryptography in Smart Grid Communications by Ferrag, Mohamed Amine,Ahmim, Ahmed Pdf

Electrical energy usage is increasing every year due to population growth and new forms of consumption. As such, it is increasingly imperative to research methods of energy control and safe use. Security Solutions and Applied Cryptography in Smart Grid Communications is a pivotal reference source for the latest research on the development of smart grid technology and best practices of utilization. Featuring extensive coverage across a range of relevant perspectives and topics, such as threat detection, authentication, and intrusion detection, this book is ideally designed for academicians, researchers, engineers and students seeking current research on ways in which to implement smart grid platforms all over the globe.

HCI Challenges and Privacy Preservation in Big Data Security

Daphne Lopez,M. A. Saleem Durai
HCI Challenges and Privacy Preservation in Big Data Security Book PDF

Author : Daphne Lopez,M. A. Saleem Durai
Publisher : Information Science Reference
Page : 0 pages
File Size : 42,8 Mb
Release : 2017-07-14
Category : Big data
ISBN : 1522528636

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HCI Challenges and Privacy Preservation in Big Data Security by Daphne Lopez,M. A. Saleem Durai Pdf

Discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academics, researchers, advanced-level students, and engineers.

Differential Privacy and Applications

Tianqing Zhu,Gang Li,Wanlei Zhou,Philip S. Yu
Differential Privacy and Applications Book PDF

Author : Tianqing Zhu,Gang Li,Wanlei Zhou,Philip S. Yu
Publisher : Springer
Page : 235 pages
File Size : 51,6 Mb
Release : 2017-08-22
Category : Computers
ISBN : 9783319620046

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Differential Privacy and Applications by Tianqing Zhu,Gang Li,Wanlei Zhou,Philip S. Yu Pdf

This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications. Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis. Data publishing focuses on how to modify the original dataset or the queries with the guarantee of differential privacy. Privacy data analysis concentrates on how to modify the data analysis algorithm to satisfy differential privacy, while retaining a high mining accuracy. The authors also introduce several applications in real world applications, including recommender systems and location privacy Advanced level students in computer science and engineering, as well as researchers and professionals working in privacy preserving, data mining, machine learning and data analysis will find this book useful as a reference. Engineers in database, network security, social networks and web services will also find this book useful.

Privacy-preserving Data Publishing

Raymond Chi-Wing Wong,Ada Fu
Privacy preserving Data Publishing Book PDF

Author : Raymond Chi-Wing Wong,Ada Fu
Publisher : Morgan & Claypool Publishers
Page : 128 pages
File Size : 50,5 Mb
Release : 2010
Category : Computers
ISBN : 9781608452163

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Privacy-preserving Data Publishing by Raymond Chi-Wing Wong,Ada Fu Pdf

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

Cognitive Cities

Jian Shen,Yao-Chung Chang,Yu-Sheng Su,Hiroaki Ogata
Cognitive Cities Book PDF

Author : Jian Shen,Yao-Chung Chang,Yu-Sheng Su,Hiroaki Ogata
Publisher : Springer Nature
Page : 737 pages
File Size : 43,5 Mb
Release : 2020-06-19
Category : Computers
ISBN : 9789811561139

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Cognitive Cities by Jian Shen,Yao-Chung Chang,Yu-Sheng Su,Hiroaki Ogata Pdf

This book constitutes refereed proceeding of the Second International Cognitive Cities Conference, IC3 2019, held in Kyoto, Japan, in September 2019. The 37 full papers and 46 short papers were thoroughly reviewed and selected from 206 submissions. The papers are organized according to the topical sections on cognitive city for special needs; cognitive city theory, modeling and simulation; XR and educational innovations for cognitive city; educational technology and strategy in cognitive city; safety, security and privacy in cognitive city; artificial intelligence theory and technology related to cognitive city; Internet of Things for cognitive city; business application and management for cognitive city; big data for cognitive city; engineering technology and applied science for cognitive city; maker, CT and STEAM education for cognitive city.

The Ethics of Cybersecurity

Markus Christen,Bert Gordijn,Michele Loi
The Ethics of Cybersecurity Book PDF

Author : Markus Christen,Bert Gordijn,Michele Loi
Publisher : Springer Nature
Page : 388 pages
File Size : 49,9 Mb
Release : 2020-02-10
Category : Philosophy
ISBN : 9783030290535

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The Ethics of Cybersecurity by Markus Christen,Bert Gordijn,Michele Loi Pdf

This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. It discusses theories, problems and solutions on the relevant ethical issues involved. This work is sorely needed in a world where cybersecurity has become indispensable to protect trust and confidence in the digital infrastructure whilst respecting fundamental values like equality, fairness, freedom, or privacy. The book has a strong practical focus as it includes case studies outlining ethical issues in cybersecurity and presenting guidelines and other measures to tackle those issues. It is thus not only relevant for academics but also for practitioners in cybersecurity such as providers of security software, governmental CERTs or Chief Security Officers in companies.

2021 6th International Conference on Inventive Computation Technologies (ICICT)

IEEE Staff
2021 6th International Conference on Inventive Computation Technologies ICICT Book PDF

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2021-01-20
Category : Electronic
ISBN : 1728185025

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2021 6th International Conference on Inventive Computation Technologies (ICICT) by IEEE Staff Pdf

From past decades, Computational Intelligence CI encompasses a wide range of computational methodologies, which mainly includes neural networks, Fuzzy Systems, Genetic algorithms and other such hybrid computing models to address various real world complexities and uncertainties Recently, the emerging intelligent computing technologies focus primarily on solving the data analysis challenges in various real time applications like industries, financial and business models, scientific and social networking applications The International Conference on Inventive Computation technologies ICICT 2021 organized by RVS Technical Campus on 20 22 January, 2021 attempts to create a collaborative research platform to foster innovative research insights in the design, development, and applications of intelligent computing technologies

Database and Expert Systems Applications

Sven Hartmann,Josef Küng,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Database and Expert Systems Applications Book PDF

Author : Sven Hartmann,Josef Küng,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer Nature
Page : 435 pages
File Size : 50,8 Mb
Release : 2020-09-12
Category : Computers
ISBN : 9783030590512

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Database and Expert Systems Applications by Sven Hartmann,Josef Küng,Gabriele Kotsis,A Min Tjoa,Ismail Khalil Pdf

The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems Applications, DEXA 2020, which will be held online in September 2020. The 38 full papers presented together with 20 short papers plus 1 keynote papers in these volumes were carefully reviewed and selected from a total of 190 submissions.