000 | 03474nam a22005295i 4500 | ||
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001 | 978-3-031-01901-2 | ||
003 | DE-He213 | ||
005 | 20240730163745.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2012 sz | s |||| 0|eng d | ||
020 |
_a9783031019012 _9978-3-031-01901-2 |
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024 | 7 |
_a10.1007/978-3-031-01901-2 _2doi |
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050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
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_aUYQE _2bicssc |
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_aCOM021030 _2bisacsh |
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_aUYQE _2thema |
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_a006.312 _223 |
100 | 1 |
_aZheleva, Elena. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980408 |
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245 | 1 | 0 |
_aPrivacy in Social Networks _h[electronic resource] / _cby Elena Zheleva, Evimaria Terzi, Lise Getoor. |
250 | _a1st ed. 2012. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2012. |
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300 |
_aX, 96 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Data Mining and Knowledge Discovery, _x2151-0075 |
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505 | 0 | _aIntroduction -- A Model for Online Social Networks -- Types of Privacy Disclosure -- Statistical Methods for Inferring Information in Networks -- Anonymity and Differential Privacy -- Attacks and Privacy-preserving Mechanisms -- Models of Information Sharing -- Users' Privacy Risk -- Management of Privacy Settings. | |
520 | _aThis synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings. | ||
650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aStatisticsĀ . _931616 |
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650 | 1 | 4 |
_aData Mining and Knowledge Discovery. _980409 |
650 | 2 | 4 |
_aStatistics. _914134 |
700 | 1 |
_aTerzi, Evimaria. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980410 |
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700 | 1 |
_aGetoor, Lise. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _921846 |
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710 | 2 |
_aSpringerLink (Online service) _980411 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031007736 |
776 | 0 | 8 |
_iPrinted edition: _z9783031030291 |
830 | 0 |
_aSynthesis Lectures on Data Mining and Knowledge Discovery, _x2151-0075 _980412 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01901-2 |
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