000 04601nam a2200709 i 4500
001 6813298
003 IEEE
005 20200413152909.0
006 m eo d
007 cr cn |||m|||a
008 130521s2013 caua foab 000 0 eng d
020 _a9781627051507 (electronic bk.)
020 _z9781627051491 (pbk.)
024 7 _a10.2200/S00485ED1V01Y201303SPT004
_2doi
035 _a(CaBNVSL)swl00402437
035 _a(OCoLC)844063346
040 _aCaBNVSL
_cCaBNVSL
_dCaBNVSL
050 4 _aTK5105.65
_b.G456 2013
082 0 4 _a910.285
_223
090 _a
_bMoCl
_e201303SPT004
100 1 _aGhinita, Gabriel.
245 1 0 _aPrivacy for location-based services
_h[electronic resource] /
_cGabriel Ghinita.
260 _aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
_bMorgan & Claypool,
_cc2013.
300 _a1 electronic text (xi, 73 p.) :
_bill., digital file.
490 1 _aSynthesis lectures on information security, privacy, & trust,
_x1945-9750 ;
_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. 67-71).
505 0 _a1. Introduction --
505 8 _a2. Privacy-preserving spatial transformations -- 2.1 Two-tier spatial transformations -- 2.2 Three-tier spatial transformations -- 2.3 Discussion --
505 8 _a3. Cryptographic approaches -- 3.1 A primer on computational PIR -- 3.2 Spatial queries with PIR -- 3.3 Protocols for approximate and exact NN with PIR -- 3.4 Comparison with geometric transformations --
505 8 _a4. Hybrid approaches -- 4.1 Privacy model -- 4.2 System overview -- 4.3 Private evaluation of point-rectangle enclosure -- 4.4 Private evaluation of point-convex-polygon enclosure --
505 8 _a5. Private matching of spatial datasets -- 5.1 Problem formulation -- 5.2 Dataset mapping -- 5.3 Join processing -- 5.4 Enhancing privacy by use of Chebyshev distance --
505 8 _a6. Trajectory anonymization -- 6.1 Publishing independent location samples -- 6.2 Publishing individual trajectories --
505 8 _a7. Differentially private publication of spatial datasets -- 7.1 A primer on differential privacy -- 7.2 Publication of static datasets of locations -- 7.2.1 Data-independent decompositions: quad-trees -- 7.2.2 Data-dependent decompositions: kd-trees -- 7.3 Publication of trajectory datasets --
505 8 _a8. Conclusions -- Bibliography -- Author's biography.
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 _aSharing of location data enables numerous exciting applications, such as location-based queries, location-based social recommendations, monitoring of traffic and air pollution levels, etc. Disclosing exact user locations raises serious privacy concerns, as locations may give away sensitive information about individuals' health status, alternative lifestyles, political and religious affiliations, etc. Preserving location privacy is an essential requirement towards the successful deployment of location-based applications. These lecture notes provide an overview of the state-of-the-art in location privacy protection. A diverse body of solutions is reviewed, including methods that use location generalization, cryptographic techniques or differential privacy. The most prominent results are discussed, and promising directions for future work are identified.
530 _aAlso available in print.
588 _aTitle from PDF t.p. (viewed on May 21, 2013).
650 0 _aLocation-based services
_xSecurity measures.
650 0 _aMobile computing
_xAccess control.
653 _aprivacy
653 _aanonymity
653 _asecurity
653 _ahomomorphic cryptography
653 _aPIR
653 _adifferential privacy
653 _aspatial databases
653 _aGIS
776 0 8 _iPrint version:
_z9781627051491
830 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on information security, privacy, and trust ;
_v# 4.
_x1945-9750
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813298
856 4 0 _3Abstract with links to full text
_uhttp://dx.doi.org/10.2200/S00485ED1V01Y201303SPT004
999 _c561988
_d561988