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.

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.

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.

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

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

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.

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.