Data Transformation Approaches For Privacy Preserving Data Mining
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Data Transformation Approaches For Privacy Preserving Data Mining
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Author : Rajalaxmi R R
language : en
Publisher: Rajalaxmi R R
Release Date : 2022-10-02
Data Transformation Approaches For Privacy Preserving Data Mining written by Rajalaxmi R R and has been published by Rajalaxmi R R this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-02 with Technology & Engineering categories.
Recent advances in data mining techniques facilitate to explore hidden knowledge from a large volume of data. When organizations share data for mining, they may restrict confidential information and knowledge to the other organizations. To protect sensitive information before data sharing, the modern age of information processing has evolved a new research area, namely Privacy Preserving Data Mining. Data transformation methods facilitate to preserve privacy without losing the benefit of data mining. The existing studies have dealt with data transformation methods for numerical data to preserve privacy in clustering and also data sanitization approaches to hide sensitive patterns. It is essential to devise new data transformation methods for categorical data to preserve privacy in clustering. The existing data sanitization approaches are capable of removing a number of legitimate patterns while concealing sensitive patterns. They also focus exclusively on specific pattern types. Nevertheless, it is necessary to develop new data sanitization approaches to hide sensitive patterns. In this work, to begin with, sensitive categorical data protection in clustering is addressed. Two hybrid data transformation methods have been devised to transform the sensitive categorical data. Then, their effectiveness in privacy preservation and clustering accuracy are validated. It is found that iv scaling and rotation transformation method improves the privacy level and the translation and rotation transformation method provides better accuracy in clustering. Hiding sensitive association rules are implemented by concealing the frequent itemsets. It includes the concepts of non-sensitive item conflict degree, item and transaction conflict ratio. Experimental results indicate that the use of item and transaction conflict ratio reduces the legitimate itemsets missed after sanitization. The work further focuses on sanitization approaches for privacy preservation of sensitive utility itemsets. With an intention to deal with this, two data sanitization approaches are devised using transaction conflict degree and item conflict degree. The experimental results indicate that the item conflict degree improves results in terms of the legitimate itemsets lost. Privacy preservation of utility and frequent itemset is also considered and two data sanitization approaches have been developed. Based on the experimental results, it can be observed that the item conflict ratio based sanitization approach minimizes non-sensitive itemsets missed and modifications in the original database. To summarize, the research works devised data transformation approaches by which privacy was ensured while maintaining accuracy in data mining
Privacy Preserving Data Mining
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-10
Privacy Preserving Data Mining written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-10 with Computers categories.
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.
Data Transformation For Privacy Preserving Data Mining
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Author : Stanley Robson de Medeiros Oliveira
language : en
Publisher: Library and Archives Canada = Bibliothèque et Archives Canada
Release Date : 2005
Data Transformation For Privacy Preserving Data Mining written by Stanley Robson de Medeiros Oliveira and has been published by Library and Archives Canada = Bibliothèque et Archives Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.
The sharing of data is often beneficial in data mining applications. It has been proven useful to support both decision-making processes and to promote social goals. However, the sharing of data has also raised a number of ethical issues. Some such issues include those of privacy, data security, and intellectual property rights. In this thesis, we focus primarily on privacy issues in data mining, notably when data are shared before mining. Specifically, we consider some scenarios in which applications of association rule mining and data clustering require privacy safeguards. Addressing privacy preservation in such scenarios is complex. One must not only meet privacy requirements but also guarantee valid data rnining results. This status indicates the pressing need for rethinking mechanisnis to enforce privacy safeguards without losing the benefit of mining. These mechanisms can lead to new privacy control methods to convert a database into a new one in such a waY as to preserve the main features of the original database for mining. In particular, we address the problem of transforming a database to be shared into a new one that conceals private information while preserving the general patterrns and trends from the original database. To address this challening problem, we propose a unified framework for privacy-preserving data mining that ensures that the mining process will not violate privacy up to a certain degree of security. The frarnework encompasses a family of privacy-preserving data transformation rnethods, a library of algoritImis, retrieval facilities to speed up the transformation process, and a set of metrics to evaluate the effectiveness of the proposed algorithms, in terms of information loss, and to quantify how much private information has been disclosed. Our investigation concludes that privacy-preserving data mining is to some extent possible. We demonstrate empirically and tlleoretically the practicality and feasibility of achieving privacy preservation in data mining. Our experiments reveal that our framework is efféctive, meets privacy requírements. and guarantees valid data mining results while protecting sensitive information (e.g., sensitive knowIedge and individuals' privacy).
Privacy Preserving Data Mining
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Author : Jaideep Vaidya
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-28
Privacy Preserving Data Mining written by Jaideep Vaidya and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-28 with Computers categories.
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.
Introduction To Privacy Preserving Data Publishing
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Author : Benjamin C.M. Fung
language : en
Publisher: CRC Press
Release Date : 2010-08-02
Introduction To Privacy Preserving Data Publishing written by Benjamin C.M. Fung and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-02 with Computers categories.
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
Advances In Database Technology Edbt 2004
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Author : Elisa Bertino
language : en
Publisher: Springer
Release Date : 2004-02-12
Advances In Database Technology Edbt 2004 written by Elisa Bertino and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-12 with Computers categories.
The 9th International Conference on Extending Database Technology, EDBT 2004, was held in Heraklion, Crete, Greece, during March 14–18, 2004. The EDBT series of conferences is an established and prestigious forum for the exchange of the latest research results in data management. Held every two years in an attractive European location, the conference provides unique opp- tunities for database researchers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences. The previous events were held in Venice, Vienna, Cambridge, Avignon, Valencia, Konstanz, and Prague. EDBT 2004 had the theme “new challenges for database technology,” with the goal of encouraging researchers to take a greater interest in the current exciting technological and application advancements and to devise and address new research and development directions for database technology. From its early days, database technology has been challenged and advanced by new uses and applications, and it continues to evolve along with application requirements and hardware advances. Today’s DBMS technology faces yet several new challenges. Technological trends and new computation paradigms, and applications such as pervasive and ubiquitous computing, grid computing, bioinformatics, trust management, virtual communities, and digital asset management, to name just a few, require database technology to be deployed in a variety of environments and for a number of di?erent purposes. Such an extensive deployment will also require trustworthy, resilient database systems, as well as easy-to-manage and ?exible ones, to which we can entrust our data in whatever form they are.
Handbook Of Database Security
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Author : Michael Gertz
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-03
Handbook Of Database Security written by Michael Gertz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-03 with Computers categories.
Handbook of Database Security: Applications and Trends provides an up-to-date overview of data security models, techniques, and architectures in a variety of data management applications and settings. In addition to providing an overview of data security in different application settings, this book includes an outline for future research directions within the field. The book is designed for industry practitioners and researchers, and is also suitable for advanced-level students in computer science.
Privacy Preserving Data Publishing
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Author : Bee-Chung Chen
language : en
Publisher: Now Publishers Inc
Release Date : 2009-10-14
Privacy Preserving Data Publishing written by Bee-Chung Chen and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-14 with Data mining categories.
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 Aware Knowledge Discovery
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Author : Francesco Bonchi
language : en
Publisher: CRC Press
Release Date : 2010-12-02
Privacy Aware Knowledge Discovery written by Francesco Bonchi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-02 with Computers categories.
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities
Data Privacy Foundations New Developments And The Big Data Challenge
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Author : Vicenç Torra
language : en
Publisher: Springer
Release Date : 2017-05-17
Data Privacy Foundations New Developments And The Big Data Challenge written by Vicenç Torra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with Technology & Engineering categories.
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.