Optimized, direct sale of privacy in personal data marketplaces
Very recently, we are witnessing the emergence of a number of start-ups that enables individuals to sell their private data directly to brokers and businesses. While this new paradigm may shift the balance of power between individuals and companies that harvest and mine data, it raises some practica...
| Autor: | |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/404198 |
| Acceso en línea: | https://hdl.handle.net/2117/404198 https://dx.doi.org/10.1016/j.ins.2017.10.009 |
| Access Level: | acceso abierto |
| Palabra clave: | Data protection. User privacy Disclosure risk Data brokers Disclosure-money trade-off Protecció de dades Àrees temàtiques de la UPC::Informàtica |
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Optimized, direct sale of privacy in personal data marketplacesParra Arnau, Javier|||0000-0002-1772-1088Data protection.User privacyDisclosure riskData brokersDisclosure-money trade-offProtecció de dadesÀrees temàtiques de la UPC::InformàticaVery recently, we are witnessing the emergence of a number of start-ups that enables individuals to sell their private data directly to brokers and businesses. While this new paradigm may shift the balance of power between individuals and companies that harvest and mine data, it raises some practical, fundamental questions for users of these services: how they should decide which data must be vended and which data protected, and what a good deal is. In this work, we investigate a mechanism that aims at helping users address these questions. The investigated mechanism relies on a hard-privacy model and allows users to share partial or complete profile data with broker and data-mining companies in exchange for an economic reward. The theoretical analysis of the trade-off between privacy and money posed by such mechanism is the object of this work. We adopt a generic measure of privacy although part of our analysis focuses on some important examples of Bregman divergences. We find a parametric solution to the problem of optimal exchange of privacy for money, and obtain a closed-form expression and characterize the trade-off between profile-disclosure risk and economic reward for several interesting cases. Finally, we evaluate experimentally how our approach could contribute to privacy protection in a real-world data-brokerage scenario.This work was partly funded by the European Commission through the H2020 project “CLARUS”, as well as by the Spanish Ministry of Economy and Competitiveness (MINECO) through the project “Sec-MCloud”, ref. TIN2016- 80250-R. J. Parra-Arnau is the recipient of a Juan de la Cierva postdoctoral fellowship, FJCI-2014-19703, from the MINECO20182018-01-0120242024-03-12journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/404198https://dx.doi.org/10.1016/j.ins.2017.10.009reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengMinisterio de Economía y Competitividad http://doi.org/10.13039/501100003329 FJCI-2014-19703 FJCI-2014-19703open accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4041982026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Optimized, direct sale of privacy in personal data marketplaces |
| title |
Optimized, direct sale of privacy in personal data marketplaces |
| spellingShingle |
Optimized, direct sale of privacy in personal data marketplaces Parra Arnau, Javier|||0000-0002-1772-1088 Data protection. User privacy Disclosure risk Data brokers Disclosure-money trade-off Protecció de dades Àrees temàtiques de la UPC::Informàtica |
| title_short |
Optimized, direct sale of privacy in personal data marketplaces |
| title_full |
Optimized, direct sale of privacy in personal data marketplaces |
| title_fullStr |
Optimized, direct sale of privacy in personal data marketplaces |
| title_full_unstemmed |
Optimized, direct sale of privacy in personal data marketplaces |
| title_sort |
Optimized, direct sale of privacy in personal data marketplaces |
| dc.creator.none.fl_str_mv |
Parra Arnau, Javier|||0000-0002-1772-1088 |
| author |
Parra Arnau, Javier|||0000-0002-1772-1088 |
| author_facet |
Parra Arnau, Javier|||0000-0002-1772-1088 |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Data protection. User privacy Disclosure risk Data brokers Disclosure-money trade-off Protecció de dades Àrees temàtiques de la UPC::Informàtica |
| topic |
Data protection. User privacy Disclosure risk Data brokers Disclosure-money trade-off Protecció de dades Àrees temàtiques de la UPC::Informàtica |
| description |
Very recently, we are witnessing the emergence of a number of start-ups that enables individuals to sell their private data directly to brokers and businesses. While this new paradigm may shift the balance of power between individuals and companies that harvest and mine data, it raises some practical, fundamental questions for users of these services: how they should decide which data must be vended and which data protected, and what a good deal is. In this work, we investigate a mechanism that aims at helping users address these questions. The investigated mechanism relies on a hard-privacy model and allows users to share partial or complete profile data with broker and data-mining companies in exchange for an economic reward. The theoretical analysis of the trade-off between privacy and money posed by such mechanism is the object of this work. We adopt a generic measure of privacy although part of our analysis focuses on some important examples of Bregman divergences. We find a parametric solution to the problem of optimal exchange of privacy for money, and obtain a closed-form expression and characterize the trade-off between profile-disclosure risk and economic reward for several interesting cases. Finally, we evaluate experimentally how our approach could contribute to privacy protection in a real-world data-brokerage scenario. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018-01-01 2024 2024-03-12 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/404198 https://dx.doi.org/10.1016/j.ins.2017.10.009 |
| url |
https://hdl.handle.net/2117/404198 https://dx.doi.org/10.1016/j.ins.2017.10.009 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
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Ministerio de Economía y Competitividad http://doi.org/10.13039/501100003329 FJCI-2014-19703 FJCI-2014-19703 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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