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Privacy for Location-based Services

Ghinita Gabriel
Heftet / 2013 / Engelsk

Produktdetaljer

ISBN
9783031012082
Publisert
2013-04-30
Utgiver
Springer International Publishing AG; Springer International Publishing AG
Høyde
235 mm
Bredde
191 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Orginaltittel
Privacy for Location-based Services

Forfatter
Ghinita Gabriel

Om bidragsyterne

Dr. Gabriel Ghinita is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB). Prior to joining UMB, he was a Research Associate affiliated with the Computer Science Department at Purdue University, and the Purdue Cyber Center. He holds a Ph.D. degree in Computer Science (2008) from the National University of Singapore, and a BS degree in Computer Science (2003) from Politechnica University of Bucharest. Dr. Ghinitas research interests lie in the area of databases, with focus on information security and privacy. His work includes research papers on Anonymous Publication of Geospatial, Relational and Set valued data, Privacy Preserving Sharing of Location Data, Secure Data Outsourcing and Secure Data Provenance, and Trustworthiness Assessment. He is also interested in spatio-temporal databases and data management in large-scale distributed environments. Dr. Ghinitas professional service includes participation on the Program Committeeof top database conferences (ACM SIGMOD, PVLDB, ICDE), as well as reviewing for journals such as VLDBJ, IEEE TKDE, IEEE TPDS, IEEE TMC, IEEE TDSC, and GeoInformatica.

Privacy for Location-based Services

Ghinita Gabriel
Heftet / 2013 / Engelsk
Ghinita Gabriel
Heftet / 2013 / Engelsk
Nettpris:
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Levering 7-20 dager
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Sharing 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.
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Sharing of location data enables numerous exciting applications, such as location-based queries, location-based social recommendations, monitoring of traffic and air pollution levels, etc.
Introduction.- Privacy-Preserving Spatial Transformations.- Cryptographic Approaches.- Hybrid Approaches.- Private Matching of Spatial Datasets.- Trajectory Anonymization.- Differentially Private Publication of Spatial Datasets.- Conclusions.
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Relaterte produkter

Sharing 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.
Les mer
Sharing of location data enables numerous exciting applications, such as location-based queries, location-based social recommendations, monitoring of traffic and air pollution levels, etc.
Introduction.- Privacy-Preserving Spatial Transformations.- Cryptographic Approaches.- Hybrid Approaches.- Private Matching of Spatial Datasets.- Trajectory Anonymization.- Differentially Private Publication of Spatial Datasets.- Conclusions.
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Produktdetaljer

ISBN
9783031012082
Publisert
2013-04-30
Utgiver
Springer International Publishing AG; Springer International Publishing AG
Høyde
235 mm
Bredde
191 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Orginaltittel
Privacy for Location-based Services

Forfatter
Ghinita Gabriel

Om bidragsyterne

Dr. Gabriel Ghinita is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB). Prior to joining UMB, he was a Research Associate affiliated with the Computer Science Department at Purdue University, and the Purdue Cyber Center. He holds a Ph.D. degree in Computer Science (2008) from the National University of Singapore, and a BS degree in Computer Science (2003) from Politechnica University of Bucharest. Dr. Ghinitas research interests lie in the area of databases, with focus on information security and privacy. His work includes research papers on Anonymous Publication of Geospatial, Relational and Set valued data, Privacy Preserving Sharing of Location Data, Secure Data Outsourcing and Secure Data Provenance, and Trustworthiness Assessment. He is also interested in spatio-temporal databases and data management in large-scale distributed environments. Dr. Ghinitas professional service includes participation on the Program Committeeof top database conferences (ACM SIGMOD, PVLDB, ICDE), as well as reviewing for journals such as VLDBJ, IEEE TKDE, IEEE TPDS, IEEE TMC, IEEE TDSC, and GeoInformatica.

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