| 000 | 03690nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01834-3 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163727.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2010 sz | s |||| 0|eng d | ||
| 020 |
_a9783031018343 _9978-3-031-01834-3 |
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| 024 | 7 |
_a10.1007/978-3-031-01834-3 _2doi |
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| 050 | 4 | _aTK5105.5-5105.9 | |
| 072 | 7 |
_aUKN _2bicssc |
|
| 072 | 7 |
_aCOM043000 _2bisacsh |
|
| 072 | 7 |
_aUKN _2thema |
|
| 082 | 0 | 4 |
_a004.6 _223 |
| 100 | 1 |
_aWong, Raymond Chi-Wing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980221 |
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| 245 | 1 | 0 |
_aPrivacy-Preserving Data Publishing _h[electronic resource] / _cby Raymond Chi-Wing Wong, Ada Wai-Chee Fu. |
| 250 | _a1st ed. 2010. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2010. |
|
| 300 |
_aIX, 128 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSynthesis Lectures on Data Management, _x2153-5426 |
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| 505 | 0 | _aIntroduction -- Fundamental Concepts -- One-Time Data Publishing -- Multiple-Time Data Publishing -- Graph Data -- Other Data Types -- Future Research Directions. | |
| 520 | _aPrivacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data analysis, privacy-preserving techniques are often required to reduce the possibility of identifying sensitive information about individuals. For example, in medical data, sensitive information can be the fact that a particular patient suffers from HIV. In spatial data, sensitive information can be a specific location of an individual. In web surfing data, the information that a user browses certain websites may be considered sensitive. Consider a dataset containing some sensitive information is to be released to the public. In order to protect sensitive information, the simplest solution is not to disclose the information. However, this would be an overkill since it will hinder the process of data analysis over the data from which we can find interesting patterns. Moreover, in some applications, the data must be disclosed under the government regulations. Alternatively, the data owner can first modify the data such that the modified data can guarantee privacy and, at the same time, the modified data retains sufficient utility and can be released to other parties safely. This process is usually called as privacy-preserving data publishing. In this monograph, we study how the data owner can modify the data and how the modified data can preserve privacy and protect sensitive information. Table of Contents: Introduction / Fundamental Concepts / One-Time Data Publishing / Multiple-Time Data Publishing / Graph Data / Other Data Types / Future Research Directions. | ||
| 650 | 0 |
_aComputer networks . _931572 |
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| 650 | 0 |
_aData structures (Computer science). _98188 |
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| 650 | 0 |
_aInformation theory. _914256 |
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| 650 | 1 | 4 |
_aComputer Communication Networks. _980222 |
| 650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
| 700 | 1 |
_aWai-Chee Fu, Ada. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980223 |
|
| 710 | 2 |
_aSpringerLink (Online service) _980224 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031007064 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031029622 |
| 830 | 0 |
_aSynthesis Lectures on Data Management, _x2153-5426 _980225 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01834-3 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84920 _d84920 |
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