The Resource Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.)
Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.)
Resource Information
The item Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Privacy in statistical databases is a discipline whose purpose is to provide so- tionstothetensionbetweenthesocial, political, economicandcorporatedemand for accurate information, and the legal and ethical obligation to protect the p- vacy of the various parties involved. Those parties are the respondents (the individuals and enterprises to which the database records refer), the data o- ers (those organizations spending money in data collection) and the users (the ones querying the database or the search engine, who would like their queries to stay con?dential). Beyond law and ethics, there are also practical reasons for data-collecting agencies and corporations to invest in respondent privacy: if individual respondents feel their privacy guaranteed, they are likely to provide moreaccurateresponses. Data ownerprivacyis primarilymotivatedbypractical considerations: if an enterprise collects data at its own expense, it may wish to minimize leakage of those data to other enterprises (even to those with whom joint data exploitation is planned). Finally, user privacy results in increaseduser satisfaction, even if it may curtail the ability of the database owner to pro?le users. Thereareatleasttwotraditionsinstatisticaldatabaseprivacy, bothofwhich started in the 1970s: the?rst one stems from o?cial statistics, where the dis- pline is also known as statistical disclosure control (SDC), and the second one originates from computer science and database technology. In o?cial statistics, the basic concern is respondent privacy. In computer science, the initial mo- vation was also respondent privacy but, from 2000 onwards, growing attention has been devoted to owner privacy (privacy-preserving data mining) and user privacy (private informationretrieval)
- Language
- eng
- Extent
- 1 online resource (xi, 296 pages)
- Note
- International conference proceedings
- Isbn
- 9783642158384
- Label
- Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings
- Title
- Privacy in statistical databases
- Title remainder
- UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings
- Statement of responsibility
- Josep Domingo-Ferrer, Emmanouil Magkos (eds.)
- Subject
-
- Computer security
- Computer security
- Computer security -- Congresses
- Conference papers and proceedings
- Conference papers and proceedings
- Data protection
- Data protection
- Data protection -- Congresses
- Databases -- Statistics -- Congresses
- Datenschutz
- Datensicherung
- Kerkira <2010>
- Kongress
- Personenbezogene Daten
- Privatsphäre
- Statistische Datenbank
- Tabelle
- Anonymisierung
- Language
- eng
- Summary
- Privacy in statistical databases is a discipline whose purpose is to provide so- tionstothetensionbetweenthesocial, political, economicandcorporatedemand for accurate information, and the legal and ethical obligation to protect the p- vacy of the various parties involved. Those parties are the respondents (the individuals and enterprises to which the database records refer), the data o- ers (those organizations spending money in data collection) and the users (the ones querying the database or the search engine, who would like their queries to stay con?dential). Beyond law and ethics, there are also practical reasons for data-collecting agencies and corporations to invest in respondent privacy: if individual respondents feel their privacy guaranteed, they are likely to provide moreaccurateresponses. Data ownerprivacyis primarilymotivatedbypractical considerations: if an enterprise collects data at its own expense, it may wish to minimize leakage of those data to other enterprises (even to those with whom joint data exploitation is planned). Finally, user privacy results in increaseduser satisfaction, even if it may curtail the ability of the database owner to pro?le users. Thereareatleasttwotraditionsinstatisticaldatabaseprivacy, bothofwhich started in the 1970s: the?rst one stems from o?cial statistics, where the dis- pline is also known as statistical disclosure control (SDC), and the second one originates from computer science and database technology. In o?cial statistics, the basic concern is respondent privacy. In computer science, the initial mo- vation was also respondent privacy but, from 2000 onwards, growing attention has been devoted to owner privacy (privacy-preserving data mining) and user privacy (private informationretrieval)
- Cataloging source
- GW5XE
- Dewey number
- 005.8
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA76.9.A25
- LC item number
- P79 2010
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 2010
- http://bibfra.me/vocab/lite/meetingName
- PSD (Conference : 2004-)
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Domingo-Ferrer, Josep
- Magkos, Emmanouil
- Series statement
- Lecture notes in computer science,
- Series volume
- 6344
- http://library.link/vocab/subjectName
-
- Computer security
- Databases
- Data protection
- Computer security
- Data protection
- Statistische Datenbank
- Privatsphäre
- Anonymisierung
- Datensicherung
- Personenbezogene Daten
- Datenschutz
- Tabelle
- Kerkira <2010>
- Label
- Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.)
- Note
- International conference proceedings
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 669439792
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 296 pages)
- Form of item
- online
- Isbn
- 9783642158384
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-642-15838-4
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-642-15837-7
- Specific material designation
- remote
- System control number
- (OCoLC)669439792
- Label
- Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.)
- Note
- International conference proceedings
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 669439792
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 296 pages)
- Form of item
- online
- Isbn
- 9783642158384
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-642-15838-4
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-642-15837-7
- Specific material designation
- remote
- System control number
- (OCoLC)669439792
Subject
- Computer security
- Computer security
- Computer security -- Congresses
- Conference papers and proceedings
- Conference papers and proceedings
- Data protection
- Data protection
- Data protection -- Congresses
- Databases -- Statistics -- Congresses
- Datenschutz
- Datensicherung
- Kerkira <2010>
- Kongress
- Personenbezogene Daten
- Privatsphäre
- Statistische Datenbank
- Tabelle
- Anonymisierung
Genre
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Privacy-in-statistical-databases--UNESCO-chair/cvAaNrFM3_c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Privacy-in-statistical-databases--UNESCO-chair/cvAaNrFM3_c/">Privacy in statistical databases : UNESCO chair in data privacy, international conference, PSD 2010, Corfu, Greece, September 22-24, 2010 : proceedings, Josep Domingo-Ferrer, Emmanouil Magkos (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>