| 000 | 04972nam a2200661 i 4500 | ||
|---|---|---|---|
| 001 | 6813402 | ||
| 003 | IEEE | ||
| 005 | 20200413152905.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 120422s2012 caua foab 000 0 eng d | ||
| 020 | _a9781608458639 (electronic bk.) | ||
| 020 | _z9781608458622 (pbk.) | ||
| 024 | 7 |
_a10.2200/S00408ED1V01Y201203DMK004 _2doi |
|
| 035 | _a(CaBNVSL)swl00400625 | ||
| 035 | _a(OCoLC)787489789 | ||
| 040 |
_aCaBNVSL _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aHM742 _b.Z446 2012 |
|
| 082 | 0 | 4 |
_a302.30285 _223 |
| 100 | 1 | _aZheleva, Elena. | |
| 245 | 1 | 0 |
_aPrivacy in social networks _h[electronic resource] / _cElena Zheleva, Evimaria Terzi, Lise Getoor. |
| 260 |
_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool, _cc2012. |
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| 300 |
_a1 electronic text (ix, 75 p.) : _bill., digital file. |
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| 490 | 1 |
_aSynthesis lectures on data mining and knowledge discovery, _x2151-0075 ; _v# 4 |
|
| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 500 | _aSeries from website. | ||
| 504 | _aIncludes bibliographical references (p. 65-74). | ||
| 505 | 0 | _a1. Introduction -- | |
| 505 | 8 | _aPart I. Online social networks and information disclosure -- 2. A model for online social networks -- 3. Types of privacy disclosure -- 3.1 Identity disclosure -- 3.2 Attribute disclosure -- 3.3 Social link disclosure -- 3.4 Affiliation link disclosure -- 4. Statistical methods for inferring information in networks -- 4.1 Entity resolution -- 4.2 Collective classification -- 4.3 Link prediction -- 4.4 Group detection -- | |
| 505 | 8 | _aPart II. Data publishing and privacy-preserving mechanisms -- 5. Anonymity and differential privacy -- 5.1 k-anonymity -- 5.2 l-diversity and t-closeness -- 5.3 Differential privacy -- 5.4 Open problems -- 6. Attacks and privacy-preserving mechanisms -- 6.1 Privacy mechanisms for social networks -- 6.1.1 Anonymizing network structure -- 6.1.2 Anonymizing user attributes and network structure -- 6.1.3 Privacy of social recommendation algorithms -- 6.2 Privacy mechanisms for affiliation networks -- 6.2.1 Anonymization -- 6.3 Privacy mechanisms for complex networks -- 6.4 Open problems -- | |
| 505 | 8 | _aPart III. Modeling, evaluating, and managing users' privacy risk -- 7. Models of information sharing -- 7.1 Information-sharing model -- 7.2 Strategic behavior and information sharing -- 7.3 Discussion and summary of results -- 7.4 Open problems -- 8. Users' privacy risk -- 8.1 Privacy-score model -- 8.2 Methods for computing the privacy score -- 8.2.1 Frequency-based method -- 8.2.2 IRT-based method -- 8.3 Discussion and summary of results -- 8.4 Open problems -- 9. Management of privacy settings -- 9.1 A model for managing privacy settings -- 9.2 Predicting users' privacy settings -- 9.3 Discussion and summary of results -- 9.4 Open problems -- | |
| 505 | 8 | _aBibliography -- Authors' biographies. | |
| 506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 520 | 3 | _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. | |
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF t.p. (viewed on April 22, 2012). | ||
| 650 | 0 |
_aOnline social networks _xSecurity measures. |
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| 650 | 0 | _aData protection. | |
| 653 | _aprivacy | ||
| 653 | _asocial networks | ||
| 653 | _aaffiliation networks | ||
| 653 | _apersonalization | ||
| 653 | _aprotection mechanisms | ||
| 653 | _aanonymization | ||
| 653 | _aprivacy risk | ||
| 700 | 1 | _aTerzi, Evimaria. | |
| 700 | 1 | _aGetoor, Lise. | |
| 776 | 0 | 8 |
_iPrint version: _z9781608458622 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on data mining and knowledge discovery ; _v# 4. _x2151-0075 |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813402 |
| 999 |
_c561907 _d561907 |
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