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Saturday, May 2, 2020 | History

6 edition of Privacy in statistical databases found in the catalog.

Privacy in statistical databases

PSD 2008 (2008 Istanbul, Turkey)

Privacy in statistical databases

UNESCO Chair in Data Privacy, international conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008 : proceedings

by PSD 2008 (2008 Istanbul, Turkey)

  • 10 Want to read
  • 24 Currently reading

Published by Springer in Berlin .
Written in English

    Subjects:
  • Computer security -- Congresses,
  • Databases -- Statistics -- Congresses,
  • Data protection -- Congresses

  • Edition Notes

    StatementJosep Domingo-Ferrer, Yücel Saygin (eds.).
    GenreCongresses
    SeriesLecture notes in computer science -- 5262
    ContributionsDomingo-Ferrer, Josep., Saygın, Yücel.
    Classifications
    LC ClassificationsQA76.9.A25 P79 2008
    The Physical Object
    Paginationxi, 334 p. :
    Number of Pages334
    ID Numbers
    Open LibraryOL23197053M
    ISBN 103540874704
    ISBN 109783540874706
    LC Control Number2008934858

    1 The expected delivery period after the order has been dispatched via your chosen delivery method. 2 Express is not available on all items. 3 Please note this service does not override the status timeframe "Dispatches in", and that the "Usually Dispatches In" timeframe still applies to all orders.. NB All our estimates are based on business days and assume that shipping and . Statistical Databases. incorporating bibliographic databases CAB Abstracts and Global Health. CAB Direct is a single point of access to all CABI database subscriptions. PRIVACY & COOKIE POLICY. We use cookies on this site to improve the usability of this website.

    You will receive an email shortly at: Here at , we are committed to protecting your privacy. Your email address will never be sold or distributed to a third party for any : Magkos, Emmanouil. tems to preserve privacy in statistical studies that combine and analyse data from multiple databases. We describe an implementation on two real-world platforms|the Sharemind secure multi-party computation and the X-Road database federation platform. Our solution enables the privacy-preserving linking and analysis of databases belonging to di er-File Size: 1MB.

    Auditing for secure statistical databases. F. Chin and G. Ozsoyoglu. ACM 81 Conference (). Suppression methodology and statistical disclosure control. L.H. Cox. JASA 75 (). A Security Model for the Statistical Database Problem. D.E. Denning. TODS 5 (). Secure statistical databases with random sample queries. D.E. Denning. TODS 5 (). However, supporting security in the statistical databases against the revealing of confidential data is complicated and ambitious task. This problem of privacy in the statistical databases has expanded in the recent years. This report will examine the main methods for providing privacy in the statistical databases. 2. Body


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Privacy in statistical databases by PSD 2008 (2008 Istanbul, Turkey) Download PDF EPUB FB2

Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay.

Juan-José Salazar-González, Philip Lowthian, Caroline Young, Giovanni Merola, Stephen Bond, David Brown. The PSD proceedings volume focuses on privacy in statistical databases.

The selected papers are organized into the following topics: tabular data protection; synthetic data; microdata and big data masking; record linkage; and spatial and mobility data. The scope of the conference is on following topics: tabular data protection; microdata and big data masking; protection using privacy models; synthetic data; remote and cloud access; disclosure risk assessment; co-utile anonymization.

Yue Ma, Yan-Xia Lin, James Chipperfield, John Newman, Victoria Leaver. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

The digit and digit formats both cturer: Springer. Overview The problem of statistical disclosure control—revealing accurate statistics about a population while preserving the privacy of individuals—has a venerable history.

An extensive literature spans multiple disciplines: statistics, theoretical computer science, security, and databases. Nevertheless, despite this extensive literature, «privacy breaches» are. The scope of the conference is on following topics: tabular data protection, microdata masking, protection using privacy models, synthetic data, record linkage, remote access, privacy-preserving protocols, and case studies.

The term is deliberately general as it covers relational databases, NoSQL databases, statistical environments such as R and SAS, and quite possibly scripts being run on a file system with a language such as AWK (Dougherty and Robbins, ) or Perl (Christiansen et al., ). This book’s definition of data analytics focuses on the.

An important contribution of this work is a definition of privacy (and privacy compromise) for statistical databases, together with a method for describing and comparing the privacy offered by specific sanitization techniques. We obtain several privacy results using two different sanitiza.

Josep Domingo-Ferrer, Mirjana Pejic-Bach: Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSDDubrovnik, Croatia. Bookshare - Accessible Books for Individuals with Print Disabilities. A statistical database is a database used for statistical analysis purposes.

It is an OLAP (online analytical processing), instead of OLTP (online transaction processing) system. Modern decision, and classical statistical databases are often closer to the relational model than the multidimensional model commonly used in OLAP systems today.

Statistical databases. Josep Domingo-Ferrer is the author of Privacy in Statistical Databases ( avg rating, 0 ratings, 0 reviews), Privacy in Statistical Databases ( avg 4/5(1). Privacy in statistical databases 14 - 16 Sep (Event Over - New Dates Awaited) Centre For Advanced Academic Studies (CAAS), Dubrovnik, Croatia.

New From Stephenie Meyer, Midnight Sun Experience the story of Twilight, this time from the point of view of Edward Pre-Order Midnight Sun Now. Privacy in Statistical Databases by Josep Domingo-Ferrer,available at Book Depository with free delivery worldwide. Read Book Online Now ?book= Privacy in Statistical Databases: CASC Project International Workshop, PSDBarcelona, Spain, June.

in statistical databases: k-anonymity and microaggregation. Protecting the individual respondent information contained in The authors are partly supported by the Spanish Ministry of Science and. Topics of interest include but are not limited to: New anonymization methods for tabular data New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) Best anonymization practices for tabular data Best anonymization practices for microdata Co-utility for privacy preservation Big data anonymization Streaming.

Before releasing statistical outputs, data suppliers have to assess if the privacy of statistical units is endangered and apply Statistical Disclosure Control (SDC) methods if necessary.Learn about getting a more general randomized response, privacy loss, the privacy/utility tradeoff, and quantifying privacy loss in a statistical database.COVID Resources.

Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle .