The Complete Book of Data Anonymization

When an application only stores sensitive data, a standalone anonymization environment is sufficient. - When an application only receives sensitive data, a scaleddown integration test environment (for anonymization) is needed.

The Complete Book of Data Anonymization

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.

Building an Anonymization Pipeline

The terms anonymization and de-identification are used inter‐changeably by some people, organizations, or even jurisdictions, but be careful as de-identification is sometimes used interchangea‐bly with pseudonymization as well!

Building an Anonymization Pipeline

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

Algorithmic Aspects of Manipulation and Anonymization in Social Choice and Social Networks

Let I = (G = (V,E),k,t) be an instance of DEGREE ANONYMIZATION (VA) with 2k >(n+t). By Observation 1 and Proposition 6.1, we can assume that k ≤ n+ t <2k and t < n. Observe that in this case any solution (if it exists) transforms G ...

Algorithmic Aspects of Manipulation and Anonymization in Social Choice and Social Networks

This thesis presents a study of several combinatorial problems related to social choice and social networks. The main concern is their computational complexity, with an emphasis on their parameterized complexity. The goal is to devise efficient algorithms for each of the problems studied here, or to prove that, under widely-accepted assumptions, such algorithms cannot exist. The problems discussed in Chapter 3 and in Chapter 4 are about manipulating a given election, where some relationships between the entities of the election are assumed. This can be seen as if the election occurs on top of an underlying social network, connecting the voters participating in the election or the candidates which the voters vote on. The problem discussed in Chapter 3, Combinatorial Candidate Control, is about manipulating an election by changing the set of candidates which the voters vote on. That is, there is an external agent who can add new candidates or delete existing candidates. A combinatorial structure over the candidates is assumed, such that whenever the external agent adds or removes a candidate, a predefined set of candidates (related to the chosen candidate) are added or removed from the election. The problem discussed in Chapter 4, Combinatorial Shift Bribery, is also about manipulating an election. Here, however, the external agent can change the way some voters vote. Specifically, a combinatorial structure over the voters is assumed, such that the external agent can change the position of its preferred candidate in sets of voters, following some predefined patterns. The problem discussed in Chapter 5, Election Anonymization, is also about elections. The main concern here, however, is preserving the privacy of the voters, when the votes are published, along with some additional (private) information. The task is to transform a given election such that each vote would appear at least k times. By doing so, even an adversary which knows how some voters vote, cannot identify individual voters. The problems discussed in Chapter 6 and in Chapter 7 are also about privacy. Specifically, a social network (modeled as a graph) is to become publicly available. The task is to anonymize the graph; that is, to transform the graph such that, for every vertex, there will be at least $k - 1$ other vertices with the same degree. By doing so, even an adversary which knows the degrees of some vertices cannot identify individual vertices. In the problem discussed in Chapter 6, Degree Anonymization by Vertex Addition, the way to achieve anonymity is by introducing new vertices. In the problem discussed in Chapter 7, Degree Anonymization By Graph Contractions, the way to achieve anonymity is by contracting as few edges as possible. The main aim of this thesis, considering the problems mentioned above, is to explore some boundaries between tractability and intractability. Specifically, as most of these problems are computationally intractable (that is, NP-hard or even hard to approximate), some restricted cases and parameterizations for these problems are considered. The goal is to devise efficient algorithms for them, running in polynomial-time when some parameters are assumed to be constant, or, even better, to show that the problems are fixed-parameter tractable for the parameters considered. If such algorithms cannot be devised, then the goal is to prove that these problems are indeed not fixed-parameter tractable with respect to some parameters, or, even better, to show that the problems are NP-hard even when some parameters are assumed to be constant. Diese Dissertation stellt eine Untersuchung von verschiedenen kombinatorischen Problemen im Umfeld von Wahlen und sozialen Netzwerken dar. Das Hauptziel ist die Analyse der Berechnungskomplexität mit dem Schwerpunkt auf der parametrisierten Komplexität. Dabei werden für jedes der untersuchten Probleme effiziente Algorithmen entworfen oder aber gezeigt, dass unter weit akzeptierten Annahmen solche Algorithmen nicht existieren können. Die Probleme, welche im Kapitel 3 und im Kapitel 4 diskutiert werden, modellieren das Manipulieren einer gegebenen Wahl, bei welcher gewisse Beziehungen zwischen den Beteiligten angenommen werden. Dies kann so interpretiert werden, dass die Wahl innerhalb eines Sozialen Netzwerks stattfindet, in dem die Wähler oder die Kandidaten miteinander in Verbindung stehen. Das Problem Combinatorial Candidate Control ONTROL, welches in Kapitel 3 untersucht wird, handelt von der Manipulation einer Wahl durch die änderung der Kandidatenmenge über welche die Wähler abstimmen. Genauer gesagt, gibt es einen externen Agenten, welcher neue Kandidaten hinzufügen oder existierende Kandidaten entfernen kann. Es wird eine kombinatorische Struktur über der Kandidatenmenge angenommen, so dass immer wenn der externe Agent einen Kandidaten hinzufügt oder entfernt, eine vordefinierte Kandidatenmenge (welche mit den ausgewählten Kandidaten in Beziehung steht) ebenfalls hinzugefügt bzw. entfernt wird. Das Problem Combinatorial Shift Bribery, welches in Kapitel 4 untersucht wird, thematisiert ebenfalls die Manipulation einer Wahl. Hier allerdings kann der externe Agent Änderungen des Abstimmungsverhaltens einiger Wähler herbeiführen. Dabei wird eine kombinatorische Struktur über den Wählern angenommen, so dass der externe Agent die Position des von ihm präferierten Kandidaten bei mehreren Wählern entsprechend vordefinierter Muster gleichzeitig ändern kann. Das Problem Election Anonymization, welches in Kapitel 5 untersucht wird, befasst sich ebenso mit Wahlen. Das Hauptanliegen hier ist es jedoch, die Privatsphäre der Wähler bei der Veröffentlichung der Stimmenabgaben zusammen mit einigen zusätzlichen (privaten) Informationen aufrecht zu erhalten. Die Aufgabe ist es eine gegebene Wahl so zu verändern, dass jede Stimmenabgabe mindestens k-fach vorkommt. Dadurch kann noch nicht einmal ein Gegenspieler einzelne Wähler identifizieren, wenn er die Stimmenabgaben einiger Wähler bereits kennt. Die in Kapitel 6 und 7 untersuchten Probleme behandeln gleichermaßen Privatsphärenaspekte. Präziser gesagt, geht es darum, dass ein soziales Netzwerk (modelliert als Graph) veröffentlicht werden soll. Die Aufgabe ist es den Graphen zu anonymisieren; dies bedeutet man verändert den Graphen, so dass es für jeden Knoten mindestens k − 1 weitere Knoten mit dem selben Grad gibt. Dadurch wird erreicht, dass selbst ein Gegenspieler, welcher die Knotengrade einiger Knoten kennt, nicht in der Lage ist einzelne Knoten zu identifizieren. Bei dem Problem Degree Anonymization by Vertex Addition, welches in Kapitel 6 untersucht wird, wird Anonymität durch Einführung neuer Knoten erreicht. Bei dem Problem Degree Anonymization by Graph Contractions, welches in Kapitel 7 untersucht wird, wird Anonymität durch die Kontraktion von möglichst wenigen Kanten erreicht. Das Hauptanliegen dieser Dissertation in Bezug auf die obig genannten Probleme ist es die Grenzen der effizienten Lösbarkeit auszuloten. Insbesondere da die meisten dieser Probleme berechnungsschwer (genauer NP-schwer bzw. sogar schwer zu approximieren) sind, werden einige eingeschränkte Fälle und Parametrisierungen der Probleme betrachtet. Das Ziel ist es effiziente Algorithmen für sie zu entwickeln, welche in Polynomzeit laufen, wenn einige Parameter konstante Werte aufweisen, oder besser noch zu zeigen, dass die Probleme “fixed-parameter tractable” für die betrachteten Parameter sind. Wenn solche Algorithmen nicht gefunden werden können, dann ist es das Ziel zu beweisen, dass diese Probleme tatsächlich nicht “fixed-parameter tractable” bezüglich der entsprechenden Parameter sind, oder noch besser zu zeigen, dass die Probleme NP-schwer sind, sogar wenn die entsprechenden Parameter konstante Werte aufweisen.

Anonymization of Electronic Medical Records to Support Clinical Analysis

Gkoulalas-Divanis, A., Loukides, G.: PCTA: Privacy-constrained Clustering-based Transaction Data Anonymization. In: EDBT PAIS, p. 5 (2011) 6. He, Y., Naughton, J.F.: Anonymization of set-valued data via top-down, local generalization.

Anonymization of Electronic Medical Records to Support Clinical Analysis

Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information. Anonymization of Electronic Medical Records to Support Clinical Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.

Anonymization Techniques for Large and Dynamic Data Sets

This is an example of the tension between anonymization procedures and data utility . But this is really an issue in all k - anonymization research . For example , the discernibility penalty ( 14 ) rewards anonymization procedures that ...

Anonymization Techniques for Large and Dynamic Data Sets


Information Resources Management

Consequently, there is a pressing need for research into anonymization mechanisms and the development of better anonymization tools. FBI Major Case 216 has given us the motivation to share data; the AOLTM and NetflixTM debacles have ...

Information Resources Management

"This work is a comprehensive, four-volume reference addressing major issues, trends, and areas for advancement in information management research, containing chapters investigating human factors in IT management, as well as IT governance, outsourcing, and diffusion"--Provided by publisher.

Network Protocols

prefix - preserving anonymization process . In the process , we derive some results pertaining to the optimum manner in which an attack should proceed with the goal of understanding the bounds on the performance of attacks in general .

Network Protocols

Papers from a November 2002 conference report on results relevant for developing new communication technologies and novel network applications. Papers are grouped in sections on TCP wired and ad hoc/wireless networks, routing, formal methods, wireless TCP and overlays, multicast, Internet, security/DOS, and provisioning and resource setup. Some subjects are hybrid channel access scheduling in ad hoc networks, a formal approach for passive testing of protocol data portions, dynamic routing of bandwidth guaranteed multicasts with failure backup, clustering Web content for efficient replication, and using adaptive rate estimation to provide enhanced and robust transport over heterogeneous networks. There is no subject index. Annotation copyrighted by Book News, Inc., Portland, OR.

A Medical Informatics Odyssey

Effects of Data Anonymization by Cell Suppression on Descriptive Statistics and Predictive Modeling Performance Lucila Ohno - Machado , MD , PhD ' , Staal Vinterbo , PhD ' , and Stephan Dreiseitl , PhD2 ' Decision Systems Group ...

A Medical Informatics Odyssey

AMIA 2001: Medical Medical Informatics Odyssey provides a venue to learn the past and to envision the future role of medical informatics innovations in the discovery, creation, and application of biomedical knowledge; the delivery of health care in a wide variety of settings; and the health of the public. In addition, a panel examines the 20-year history of nursing at the Symposium. A second special track on Patient Safety, partially supported by funding from the Agency for Healthcare Research and Quality, is specifically designed to highlight the Symposium content focused on system strategies to reduce medical errors and improve patient safety.

Proceedings of the ACM SIGCOMM Internet Measurement Workshop

On the Design and Performance of Prefix - Preserving IP Traffic Trace Anonymization Jun Xu Jinliang Fan Mostafa Ammar College of Computing Georgia Institute of Technology Atlanta , GA 30332-0280 { jx , jlfan , ammar } ...

Proceedings of the     ACM SIGCOMM Internet Measurement Workshop


The 9 11 Commission

C. Anonymization is Data “ Processing , ” But No Additional Notice or Consent Procedures are Required As noted above , the last issue is whether the process of anonymization is itself data “ processing " under the EU Directive and data ...

The 9 11 Commission

"The National Commission on Terrorist Attacks Upon the United States met over the course of nineteen days from March 2003 to June 2004, with twelve hearings covering topics from intelligence gathering, to emergency response procedures, to personal experiences of the 9/11 attack. Over 160 individuals, from the highest officials to scholars and victims' families, testified for the public record. It was one of the most thorough and open examinations of a national disaster in recent history. Here, in four volumes, is the complete, unabridged testimony of these hearings. Each hearing is summarized, as is each person's testimony, making it easy to find relevant passages. Key topics are cross-referenced throughout the set, and useful biographical information on each of the speakers is included to aid understanding of the viewpoint and credentials of those offering testimony."--Amazon.com viewed Dec. 1, 2020.

Proceedings of the First ACM SIGCOMM Internet Measurement Workshop

On the Design and Performance of Prefix - Preserving IP Traffic Trace Anonymization Jun Xu Jinliang Fan Mostafa Ammar College of Computing Georgia Institute of Technology Atlanta , GA 30332-0280 { jx , jlfan , ammar } ...

Proceedings of the First ACM SIGCOMM Internet Measurement Workshop


Models and Algorithms for Privacy preserving Data Mining

P4 ID Si ei 1 S2 ez C3 1 1 1 0 0 1 0 0 0 0 e6 0 0 0 1 e5 0 0 0 0 0 0 1 1 1 1 S3 1 S4 0 1 Sg 0 0 Figure 3.2 : Dataset from Figure 3.1 ( a ) as a relational dataset Definition 7 ( k - Anonymization via Flips ) .

Models and Algorithms for Privacy preserving Data Mining


Principles of Computer Security CompTIA Security and Beyond Sixth Edition Exam SY0 601

Data anonymization is the process of protecting private or sensitive information by removing identifiers that connect the stored data to an individual. Separating the PII elements such as names, Social Security numbers, and addresses ...

Principles of Computer Security  CompTIA Security  and Beyond  Sixth Edition  Exam SY0 601

Fully updated computer security essentials—mapped to the CompTIA Security+ SY0-601 exam Save 10% on any CompTIA exam voucher! Coupon code inside. Learn IT security fundamentals while getting complete coverage of the objectives for the latest release of CompTIA Security+ certification exam SY0-601. This thoroughly revised, full-color textbook covers how to secure hardware, systems, and software. It addresses new threats and cloud environments, and provides additional coverage of governance, risk, compliance, and much more. Written by a team of highly respected security educators, Principles of Computer Security: CompTIA Security+TM and Beyond, Sixth Edition (Exam SY0-601) will help you become a CompTIA-certified computer security expert while also preparing you for a successful career. Find out how to: Ensure operational, organizational, and physical security Use cryptography and public key infrastructures (PKIs) Secure remote access, wireless networks, and virtual private networks (VPNs) Authenticate users and lock down mobile devices Harden network devices, operating systems, and applications Prevent network attacks, such as denial of service, spoofing, hijacking, and password guessing Combat viruses, worms, Trojan horses, and rootkits Manage e-mail, instant messaging, and web security Explore secure software development requirements Implement disaster recovery and business continuity measures Handle computer forensics and incident response Understand legal, ethical, and privacy issues Online content features: Test engine that provides full-length practice exams and customized quizzes by chapter or exam objective Each chapter includes: Learning objectives Real-world examples Try This! and Cross Check exercises Tech Tips, Notes, and Warnings Exam Tips End-of-chapter quizzes and lab projects

DIM 05

Pll including real mail address ( R ) ESP Another safeguard scheme is generalization or anonymization , which eliminates personally identifiable elements from data . Bertino and Ooi also presented a generalization scheme in [ 11 ] ...

DIM  05


Proceedings of the ACM SIGCOMM Internet Measurement Conference

Network owners could download the configuration anonymization tools from the portal via third - party web traffic anonymizers , and upload their anonymized configurations after taking whatever additional steps they felt necessary to ...

Proceedings of the     ACM SIGCOMM Internet Measurement Conference


Social computing

KEY TERMS Edge Perturbation : Graph anonymization technique aimed at hiding the actual social network relationships by performing a set of random edge deletions / insertions in the network graph . Graph Anonymization : Technique aimed ...

Social computing

"This book uncovers the growing and expanding phenomenon of human behavior, social constructs, and communication in online environments, reflecting on social change, evolving networks, media, and interaction with technology and more"--Provided by publisher.

The Journal of Biolaw Business

Consent and Identifiability , Tandem Considerations The GMC Confidentiality Guidance recognizes consent and anonymization as mutual alternatives : Manual anonymization can achieve the same end . It should be performed by a few ...

The Journal of Biolaw   Business


CDPSE Certified Data Privacy Solutions Engineer All in One Exam Guide

from anonymization, because pseudonymization still may enable an individual to be singled out and linkable across different data sets. NOTE From a privacy perspective, de-identifying a record (when performed properly) is equivalent to ...

CDPSE Certified Data Privacy Solutions Engineer All in One Exam Guide

This study guide offers 100% coverage of every objective for the Certified Data Privacy Solutions Engineer Exam This resource offers complete, up-to-date coverage of all the material included on the current release of the Certified Data Privacy Solutions Engineer exam. Written by an IT security and privacy expert, CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide covers the exam domains and associated job practices developed by ISACA®. You’ll find learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth explanations. Designed to help you pass the CDPSE exam, this comprehensive guide also serves as an essential on-the-job reference for new and established privacy and security professionals. COVERS ALL EXAM TOPICS, INCLUDING: Privacy Governance Governance Management Risk Management Privacy Architecture Infrastructure Applications and Software Technical Privacy Controls Data Cycle Data Purpose Data Persistence Online content includes: 300 practice exam questions Test engine that provides full-length practice exams and customizable quizzes by exam topic

Phenomenology and The Social Science

Social reality presupposes and is built upon the principle of anonymization . There is another feature of the relationship between anonymity and anonymization . The discussion of Schutz's work sometimes leads to the consideration of a ...

Phenomenology and The Social Science

The five essays in this work attempt in interpretive and original ways to further the common field of investigation of man in the life-world. Richard Zaner in his examination of the multi-level approach of the social sciences to the social order points us toward essences and the manner in which they are epistemically understood. By contrasting the work of the later Durkheim with that of Husserl, Edward Tiryakian is able to suggest a commonality of endeavor between them. Paul Ricoeur, after phenomenologically distinguishing three concepts of ideology, examines the supposed conflict between science and ideology and its resolution through a hermeneutics of historical understanding. Maurice N at anson in his discussion of the problem of anonymity reflects on both the sociological givenness of the world and its phenomenological reconstruction, showing the necessary interrelationship of both prior ities. Fred Dallmayr, after a presentation of the state of validation in the social sciences and their problems in attempting to ground them selves either in regard to logical positivism or phenomenology, refers us to the perspective of Merleau-Ponty concerning the relationship of cognition and experience.

CIPM Certified Information Privacy Manager All in One Exam Guide

Anonymization Anonymization is the process of irreversibly altering or removing sensitive data fields from records so that an individual can no longer be identified directly or indirectly. ISO 25237 (Health Informatics ...

CIPM Certified Information Privacy Manager All in One Exam Guide

This self-study guide covers every topic on the Certified Information Privacy Manager exam Take IAPP’s rigorous Certified Information Privacy Manager (CIPM) exam with complete confidence using the comprehensive information contained in this highly effective study guide. The book enhances candidates’ abilities to design, build, and run information privacy management programs. Written by a security and privacy expert and experienced author, CIPM Certified Information Privacy Manager All-in-One Exam Guide is based on proven pedagogy and thoroughly prepares candidates to pass this exam. Beyond exam preparation, the guide also serves as a valuable on-the-job reference. •Provides 100% coverage of all eight objectives for the CIPM exam •Online content includes 300 practice questions in the Total Tester exam engine •Written by a security and privacy expert, educator, and experienced author