Database Anonymization

Database Anonymization

If merging sensitive data from several sources, the incoming data may already
have been anonymized at the source (in fact they probably should). Hence, the
ability to link anonymized records from several sources that correspond to the
same ...

Author: Josep Domingo-Ferrer

Publisher: Morgan & Claypool Publishers

ISBN: 9781627058445

Category: Computers

Page: 136

View: 209

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.
Categories: Computers

The Complete Book of Data Anonymization

The Complete Book of Data Anonymization

Leveraging Data Anonymization Techniques Prerequisites When applied on a
database, anonymization techniques must ensure that the: 1. Anonymization
does not alter the physical structure of the database. 2. Referential integrity of the
data ...

Author: Balaji Raghunathan

Publisher: CRC Press

ISBN: 9781439877319

Category: Computers

Page: 267

View: 997

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
Categories: Computers

Tunable Security for Deployable Data Outsourcing

Tunable Security for Deployable Data Outsourcing

[NCM13, NC11] leverage findings from the continuous data publishing
community to enable l-diversified database ... The Dividat framework we present
in Section 3.6 is not a new anonymization technique for anonymized database ...

Author: Koehler, Jens

Publisher: KIT Scientific Publishing

ISBN: 9783731504115

Category:

Page: 284

View: 986

Categories:

Handbook of Research on Computational Intelligence for Engineering Science and Business

Handbook of Research on Computational Intelligence for Engineering  Science  and Business

Database. Anonymization. Techniques. with. Focus. on. Uncertainty. and. Multi-.
Sensitive. Attributes. B. K. Tripathy VIT University, India ABSTRACT Publication of
Data owned by various organizations for scientific research has the danger of ...

Author: Bhattacharyya, Siddhartha

Publisher: IGI Global

ISBN: 9781466625198

Category: Computers

Page: 746

View: 866

Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.
Categories: Computers

Principles of Security and Trust

Principles of Security and Trust

There is a significant body of empirical work on statistical de-anonymization
attacks against databases containing ... variant of the Narayanan-Shmatikov
algorithm that was used to effectively de-anonymize the Netflix database of movie
ratings.

Author: Pierpaolo Degano

Publisher: Springer Science & Business Media

ISBN: 9783642286407

Category: Business & Economics

Page: 431

View: 438

This book constitutes the refereed proceedings of the first International Conference on Principles of Security and Trust, POST 2012, held in Tallinn, Estonia, in March/April 2012, as part of ETAPS 2012, the European Joint Conferences on Theory and Practice of Software. The 20 papers, presented together with the abstract of an invited talk and a joint-ETAPS paper, were selected from a total of 67 submissions. Topics covered by the papers include: foundations of security, authentication, confidentiality, privacy and anonymity, authorization and trust, network security, protocols for security, language-based security, and quantitative security properties.
Categories: Business & Economics

Database Systems for Advanced Applications

Database Systems for Advanced Applications

HRG based k-anonymization algorithm Input: Graph G(V,E), HG, F, and k Output:
K-anonymized graph G 1 G(V ,E) = G(V,E); 2 D∗ = estimate(G, F, k); 3 while G is
not k-anonymized do 4 Setop = findcandidateOp(G ,D∗,H G); 5 while Setop ...

Author: Jeffrey Xu Yu

Publisher: Springer

ISBN: 9783642201493

Category: Computers

Page: 583

View: 922

This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.
Categories: Computers

Data Privacy Management and Autonomous Spontaneous Security

Data Privacy Management and Autonomous Spontaneous Security

A challenging task in privacy protection for public data is to realize an algorithm
that generalizes a table according to a user's requirement. In this paper, we
propose an anonymization scheme for generating a k-anonymous table, and
show ...

Author: Joaquin Garcia-Alfaro

Publisher: Springer Science & Business Media

ISBN: 9783642193477

Category: Business & Economics

Page: 259

View: 698

This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 5th International Workshop on Data Privacy Management, DPM 2010, and the 3rd International Workshop on Autonomous and Spontaneous Security, SETOP 2010, collocated with the ESORICS 2010 symposium in Athens, Greece, in September 2010. The 9 revised full papers for DPM 2010 presented together with two keynote talks are accompanied by 7 revised full papers of SETOP 2010; all papers were carefully reviewed and selected for inclusion in the book. The DPM 2010 papers cover topics such as how to translate the high-level business goals into system-level privacy policies, administration of privacy-sensitive data, privacy data integration and engineering, privacy access control mechanisms, information-oriented security, and query execution on privacy-sensitive data for partial answers. The SETOP 2010 papers address several specific aspects of the previously cited topics, as for instance the autonomic administration of security policies, secure P2P storage, RFID authentication, anonymity in reputation systems, etc.
Categories: Business & Economics

Econometrics of Anonymized Micro Data

Econometrics of Anonymized Micro Data

Theoretically , the re - identification of individuals or firms is not possible with
synthetic data . But the synthetical elements of a resample could be very similar
to real observations of the underlying database . Hence , Gottschalk ( 2005 and
2004 ) ...

Author: Sandra Gottschalk

Publisher: Lucius & Lucius DE

ISBN: 3828203256

Category:

Page: 84

View: 179

Categories:

Introduction to Privacy Preserving Data Publishing

Introduction to Privacy Preserving Data Publishing

Since it is not an option to anonymize previously released data, the current
release must be anonymized to ensure that a global quasi-identifier is not
effective for identification. In multiple views publishing studied in Chapter 8,
several tables, ...

Author: Benjamin C.M. Fung

Publisher: CRC Press

ISBN: 1420091506

Category: Computers

Page: 376

View: 916

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.
Categories: Computers

Mobility Data Mining and Privacy

Mobility  Data Mining and Privacy

We believe that the anonymity-preserving data mining framework recently
proposed in [10, 11] based on algorithms could be applied for handling pattern
anonymization in spatiotemporal environments. Now, we can briefly investigate
some ...

Author: Fosca Giannotti

Publisher: Springer Science & Business Media

ISBN: 3540751777

Category: Computers

Page: 410

View: 169

Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.
Categories: Computers

Database Systems for Advanced Applications

Database Systems for Advanced Applications

Data distortion is inevitable inprivacy-preserving data publication and a lot of
quality metrics have been proposed to measure the ... the quality of anonymous
data much more especially if integrated with proper anonymization algorithms.

Author: Hiroyuki Kitagawa

Publisher: Springer Science & Business Media

ISBN: 9783642120978

Category: Computers

Page: 485

View: 667

This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.
Categories: Computers

Principles of Big Data

Principles of Big Data

Anonymization versus deidentification Anonymization is a process whereby all
the links between an individual and the individual's data record ... In a fully
anonymized data set, the opportunities of verifying the quality of data are highly
limited.

Author: Jules J. Berman

Publisher: Newnes

ISBN: 9780124047242

Category: Computers

Page: 288

View: 339

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources
Categories: Computers

Anonymizing Health Data

Anonymizing Health Data

Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity.

Author: Khaled El Emam

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449363031

Category: Computers

Page: 228

View: 310

Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it anonymous without compromising data quality is tricky. This book demonstrates techniques for handling different data types, based on the authors’ experiences with a maternal-child registry, inpatient discharge abstracts, health insurance claims, electronic medical record databases, and the World Trade Center disaster registry, among others. Understand different methods for working with cross-sectional and longitudinal datasets Assess the risk of adversaries who attempt to re-identify patients in anonymized datasets Reduce the size and complexity of massive datasets without losing key information or jeopardizing privacy Use methods to anonymize unstructured free-form text data Minimize the risks inherent in geospatial data, without omitting critical location-based health information Look at ways to anonymize coding information in health data Learn the challenge of anonymously linking related datasets
Categories: Computers

Professional Hadoop Solutions

Professional Hadoop Solutions

This data set had the ratings of movies that the Netflix subscribers had watched,
with all personally identifying ... the Netflix data set with the Internet Movie
Database (IMDB) review database, applying a new “de-anonymization algorithm.

Author: Boris Lublinsky

Publisher: John Wiley & Sons

ISBN: 9781118824184

Category: Computers

Page: 504

View: 558

The go-to guidebook for deploying Big Data solutions withHadoop Today's enterprise architects need to understand how the Hadoopframeworks and APIs fit together, and how they can be integrated todeliver real-world solutions. This book is a practical, detailedguide to building and implementing those solutions, with code-levelinstruction in the popular Wrox tradition. It covers storing datawith HDFS and Hbase, processing data with MapReduce, and automatingdata processing with Oozie. Hadoop security, running Hadoop withAmazon Web Services, best practices, and automating Hadoopprocesses in real time are also covered in depth. With in-depth code examples in Java and XML and the latest onrecent additions to the Hadoop ecosystem, this complete resourcealso covers the use of APIs, exposing their inner workings andallowing architects and developers to better leverage and customizethem. The ultimate guide for developers, designers, and architectswho need to build and deploy Hadoop applications Covers storing and processing data with various technologies,automating data processing, Hadoop security, and deliveringreal-time solutions Includes detailed, real-world examples and code-levelguidelines Explains when, why, and how to use these tools effectively Written by a team of Hadoop experts in theprogrammer-to-programmer Wrox style Professional Hadoop Solutions is the reference enterprisearchitects and developers need to maximize the power of Hadoop.
Categories: Computers

Database and Expert Systems Applications

Database and Expert Systems Applications

To reduce the risk of privacy disclosure during personal data publishing, the
approach of anonymization is widely employed. On this topic, current studies
mainly focus on two directions: (1)developing privacy preserving models which
satisfy ...

Author: Sourav S. Bhowmick

Publisher: Springer Science & Business Media

ISBN: 9783540856535

Category: Computers

Page: 853

View: 225

This book constitutes the refereed proceedings of the 19th International Conference on Database and Expert Systems Applications, DEXA 2008, held in Turin, Italy, in September 2008. The 74 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 208 submissions. The papers are organized in topical sections on data privacy; temporal, spatial and high dimensional databases; semantic Web and ontologies; query processing; Web and information retrieval; mobile data and information; data and information streams; data mining algorithms; multimedia databases; data mining systems, data warehousing, OLAP; data and information semantics; XML databases; applications of database, information, and decision support systems; and schema, process and knowledge modelling and evolution.
Categories: Computers

Security in Computing Systems

Security in Computing Systems

An anonymization mechanism aims primarily at keeping the activities of
participants non-observable to other ... that is a piece of data and, for example,
stored in a database for later analysis; and a piece of data 15: Anonymization
15.1 Survey.

Author: Joachim Biskup

Publisher: Springer Science & Business Media

ISBN: 9783540784425

Category: Computers

Page: 694

View: 270

This monograph on Security in Computing Systems: Challenges, Approaches and Solutions aims at introducing, surveying and assessing the fundamentals of se- rity with respect to computing. Here, “computing” refers to all activities which individuals or groups directly or indirectly perform by means of computing s- tems, i. e. , by means of computers and networks of them built on telecommuni- tion. We all are such individuals, whether enthusiastic or just bowed to the inevitable. So, as part of the ‘‘information society’’, we are challenged to maintain our values, to pursue our goals and to enforce our interests, by consciously desi- ing a ‘‘global information infrastructure’’ on a large scale as well as by approp- ately configuring our personal computers on a small scale. As a result, we hope to achieve secure computing: Roughly speaking, computer-assisted activities of in- viduals and computer-mediated cooperation between individuals should happen as required by each party involved, and nothing else which might be harmful to any party should occur. The notion of security circumscribes many aspects, ranging from human qua- ties to technical enforcement. First of all, in considering the explicit security requirements of users, administrators and other persons concerned, we hope that usually all persons will follow the stated rules, but we also have to face the pos- bility that some persons might deviate from the wanted behavior, whether ac- dently or maliciously.
Categories: Computers

Handbook of Database Security

Handbook of Database Security

19 Privacy in Database Publishing: A Bayesian Perspective Alin Deutsch⋆
Department of Computer Science and ... publishing, the released data is
specified using a formalism of incomparable expressive power, namely
anonymization using ...

Author: Michael Gertz

Publisher: Springer Science & Business Media

ISBN: 0387485333

Category: Computers

Page: 577

View: 232

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.
Categories: Computers

Data Integration in the Life Sciences

Data Integration in the Life Sciences

We demonstrate the implications of using the actual raw data, data transformed to
availability data, and availability data which has been subjected to
anonymization techniques to reduce the risk of re-identification. Our results show
that an ...

Author: Helena Galhardas

Publisher: Springer

ISBN: 9783319085906

Category: Computers

Page: 151

View: 572

This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full papers and the 5 short papers included in this volume were carefully reviewed and selected from 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing.
Categories: Computers

Readings in Cyberethics

Readings in Cyberethics

... critic) MEDEUR edifact anonymization encryption communication Gatekeeper
Supervisory Board IPCI-cdb analysis after admission SB results interpretation law
/admission drug-instruction Figure 1 Data-flow of the IPCI-project anonymized ...

Author: Richard A. Spinello

Publisher: Jones & Bartlett Learning

ISBN: UCSD:31822029721842

Category: Business & Economics

Page: 601

View: 585

This book of readings is ideal for ethics instructors looking for up-to-date and provocative material in the evolving fields of computer and Internet ethics.
Categories: Business & Economics