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The Complete Book Of Data Anonymization
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Book Synopsis The Complete Book of Data Anonymization by : Balaji Raghunathan
Download or read book The Complete Book of Data Anonymization written by Balaji Raghunathan and published by CRC Press. This book was released on 2013-05-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Book of Data Anonymization: From Planning to Implementation supplies a 360-degree view of data privacy protection using data anonymization. It examines data anonymization from both a practitioner's and a program sponsor's perspective. Discussing analysis, planning, setup, and governance, it illustrates the entire process of adapting and implementing anonymization tools and programs. Part I of the book begins by explaining what data anonymization is. It describes how to scope a data anonymization program as well as the challenges involved when planning for this initiative at an enterprisewide level. Part II describes the different solution patterns and techniques available for data anonymization. It explains how to select a pattern and technique and provides a phased approach towards data anonymization for an application. A cutting-edge guide to data anonymization implementation, this book delves far beyond data anonymization techniques to supply you with the wide-ranging perspective required to ensure comprehensive protection against misuse of data.
Author :Marcus Jackson Publisher :Createspace Independent Publishing Platform ISBN 13 :9781721540631 Total Pages :224 pages Book Rating :4.5/5 (46 download)
Book Synopsis The Complete Book of Data Anonymization by : Marcus Jackson
Download or read book The Complete Book of Data Anonymization written by Marcus Jackson and published by Createspace Independent Publishing Platform. This book was released on 2018-05-29 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on data anonymization could not have come at a better time, given the rapid adoption of outsourcing within enterprises and an ever increasing growth of business data. This book is a must read for enterprise data architects and data managers grappling with the problem of balancing the needs of application outsourcing with the requirements for strong data privacy.This book delves far beyond data anonymization techniques to supply you with the wide-ranging perspective required to ensure comprehensive protection against misuse of data.It examines data anonymization from both a practitioner's and a program sponsor's perspective. Discussing analysis, planning, setup, and governance, it illustrates the entire process of adapting and implementing anonymization tools and programs.
Author :Aaron Jackson Publisher :Createspace Independent Publishing Platform ISBN 13 :9781720483205 Total Pages :224 pages Book Rating :4.4/5 (832 download)
Book Synopsis The Complete Book of Data Anonymization by : Aaron Jackson
Download or read book The Complete Book of Data Anonymization written by Aaron Jackson and published by Createspace Independent Publishing Platform. This book was released on 2018-01-11 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves far beyond data anonymization techniques to supply you with the wide-ranging perspective required to ensure comprehensive protection against misuse of data.Contains extensive criteria grounded in past and current successful projects and activities by experienced Data anonymization practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data anonymization are maximized with professional results.This extraordinary Data anonymization self-assessment will make you the entrusted Data anonymization domain standout by revealing just what you need to know to be fluent and ready for any Data anonymization challenge.
Book Synopsis The Complete Book of Data Anonymization by : Balaji Raghunathan
Download or read book The Complete Book of Data Anonymization written by Balaji Raghunathan and published by CRC Press. This book was released on 2013-05-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Book of Data Anonymization: From Planning to Implementation supplies a 360-degree view of data privacy protection using data anonymization. It examines data anonymization from both a practitioner's and a program sponsor's perspective. Discussing analysis, planning, setup, and governance, it illustrates the entire process of adapting an
Book Synopsis Introduction to Privacy-Preserving Data Publishing by : Benjamin C.M. Fung
Download or read book Introduction to Privacy-Preserving Data Publishing written by Benjamin C.M. Fung and published by CRC Press. This book was released on 2010-08-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Anonymization written by Rolf H. Weber and published by Springer Science & Business Media. This book was released on 2012-04-26 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the last decade, the Internet has developed as a phenomenon encompassing social, cultural, economic and legal facets. It has become common practice to use the Internet for both the retrieval and provision of information, with the result that the Internet has become a valuable tool in everyday life. Many Internet participants are unaware that they leave data tracks on every website they pass; surfing on the World Wide Web is far from being an anonymous activity of no consequence. In recent years a number of networking techniques have been initiated in order to accommodate the netizen’s wish for anonymous communication and the protection of their privacy in the online world. Anonymization explores the legal framework developed to help protect netizens’ privacy and their wish for anonymous communication over the Internet. It debates the value in helping to protect anonymity over a network which sees an increasing number of cybercrimes, and explores governmental interventions into anonymity requests, and whether requests should only be legal if a sufficiently legitimized public interest is given.
Book Synopsis Data Privacy by : Nataraj Venkataramanan
Download or read book Data Privacy written by Nataraj Venkataramanan and published by CRC Press. This book was released on 2016-10-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level.
Book Synopsis Database Anonymization by : Josep Domingo-Ferrer
Download or read book Database Anonymization written by Josep Domingo-Ferrer and published by Springer Nature. This book was released on 2022-05-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Guide to the De-Identification of Personal Health Information by : Khaled El Emam
Download or read book Guide to the De-Identification of Personal Health Information written by Khaled El Emam and published by CRC Press. This book was released on 2013-05-06 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients' privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-ba
Book Synopsis Statistical Disclosure Control by : Anco Hundepool
Download or read book Statistical Disclosure Control written by Anco Hundepool and published by John Wiley & Sons. This book was released on 2012-07-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach. The key concepts of statistical disclosure control are presented, along with the methodology and software that can be used to apply various methods of statistical disclosure control. Numerous examples and guidelines are also featured to illustrate the topics covered. Statistical Disclosure Control: Presents a combination of both theoretical and practical solutions Introduces all the key concepts and definitions involved with statistical disclosure control. Provides a high level overview of how to approach problems associated with confidentiality. Provides a broad-ranging review of the methods available to control disclosure. Explains the subtleties of group disclosure control. Features examples throughout the book along with case studies demonstrating how particular methods are used. Discusses microdata, magnitude and frequency tabular data, and remote access issues. Written by experts within leading National Statistical Institutes. Official statisticians, academics and market researchers who need to be informed and make decisions on disclosure limitation will benefit from this book.
Book Synopsis Big Data by : Viktor Mayer-Schönberger
Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Book Synopsis Determann’s Field Guide to Data Privacy Law by : Determann, Lothar
Download or read book Determann’s Field Guide to Data Privacy Law written by Determann, Lothar and published by Edward Elgar Publishing. This book was released on 2022-01-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies, lawyers, privacy officers, compliance managers, as well as human resources, marketing and IT professionals are increasingly facing privacy issues. While plenty of information is freely available, it can be difficult to grasp a problem quickly, without getting lost in details and advocacy. This is where Determann’s Field Guide to Data Privacy Law comes into its own – identifying key issues and providing concise practical guidance for an increasingly complex field shaped by rapid change in international laws, technology and society
Book Synopsis Building an Anonymization Pipeline by : Luk Arbuckle
Download or read book Building an Anonymization Pipeline written by Luk Arbuckle and published by "O'Reilly Media, Inc.". This book was released on 2020-04-13 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time. Create anonymization solutions diverse enough to cover a spectrum of use cases Match your solutions to the data you use, the people you share it with, and your analysis goals Build anonymization pipelines around various data collection models to cover different business needs Generate an anonymized version of original data or use an analytics platform to generate anonymized outputs Examine the ethical issues around the use of anonymized data
Book Synopsis Database Theory - ICDT 2005 by : Thomas Eiter
Download or read book Database Theory - ICDT 2005 written by Thomas Eiter and published by Springer Science & Business Media. This book was released on 2005-02-14 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Database Theory, ICDT 2005, held in Edinburgh, UK in January 2005. The 24 revised full papers presented together with 3 invited articles were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on query languages and types, multi-dimensional data processing, algorithmic aspects, privacy and security, logic and databases, query rewriting, and query processing and data streams.
Book Synopsis Statistical Disclosure Control for Microdata by : Matthias Templ
Download or read book Statistical Disclosure Control for Microdata written by Matthias Templ and published by Springer. This book was released on 2017-05-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
Book Synopsis Sharing Clinical Trial Data by : Institute of Medicine
Download or read book Sharing Clinical Trial Data written by Institute of Medicine and published by National Academies Press. This book was released on 2015-04-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.
Book Synopsis Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities by : Tripathy, B. K.
Download or read book Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities written by Tripathy, B. K. and published by IGI Global. This book was released on 2018-01-19 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other online threats. Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models and weighted social networks. Presenting widespread coverage across a range of applicable perspectives and topics, such as neighborhood attacks, fast k-degree anonymization (FKDA), and vertex-clustering algorithms, this book is ideally designed for academics, researchers, post-graduates, and practitioners seeking current research on undirected networks and greedy algorithms for social network anonymization.
