IPAM: information privacy assessment metric in microblogging online social networks
A large amount of sensitive data is transferred, stored, processed, and analyzed daily in Online Social Networks (OSNs). Thus, an effective and efficient evaluation of the privacy level provided in such services is necessary to meet user expectations and comply with the requirement of the applicable...
| Autores: | , , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2019 |
| País: | España |
| Recursos: | Universitat Oberta de Catalunya (UOC) |
| Repositório: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/122986 |
| Acesso em linha: | http://hdl.handle.net/10609/122986 |
| Access Level: | Acceso aberto |
| Palavra-chave: | online social networks information privacy protection information security metrics microbloggings privacy measurements xarxes socials online microblogs protecció de la privacitat mètriques mesures de privacitat seguretat de la informació redes sociales online métricas medidas de privacidad seguridad de la información Data protection Protecció de dades Protección de datos |
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IPAM: information privacy assessment metric in microblogging online social networksOukemeni, SamiaRifà-Pous, HelenaMarquès Puig, Joan Manuelonline social networksinformation privacy protectioninformation securitymetricsmicrobloggingsprivacy measurementsxarxes socials onlinemicroblogsprotecció de la privacitatmètriquesmesures de privacitatseguretat de la informacióredes sociales onlinemicroblogsmétricasmedidas de privacidadseguridad de la informaciónData protectionProtecció de dadesProtección de datosA large amount of sensitive data is transferred, stored, processed, and analyzed daily in Online Social Networks (OSNs). Thus, an effective and efficient evaluation of the privacy level provided in such services is necessary to meet user expectations and comply with the requirement of the applicable laws and regulations. Several prior works have proposed mechanisms for evaluating and calculating privacy scores in OSNs. However, current models are system-specific and assess privacy only from the user's perspective. There is still a lack of a universal model that can quantify the level of privacy and compare between different systems. In this paper, we propose a generic framework to (i) guide the development of privacy metrics and (ii) to measure and assess the privacy level of OSNs, more specifically microblogging systems. The present study develops an algorithmic model to compute privacy scores based on the impact of privacy and security requirements, accessibility, and difficulty of information extraction. The proposed framework aims to provide users as well as system providers with a measure of how much the investigated system is protecting privacy. It allows also comparing the privacy protection level between different systems. The privacy score framework has been tested using real microblogging social networks and the results show the potential of the proposed privacy scoring framework.IEEE AccessUniversitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)202020202019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10609/122986reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésIEEE Access, 2019, 7()https://doi.org/10.1109/ACCESS.2019.2932899CC BYhttp://creativecommons.org/licenses/by/4.0/es/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1229862026-05-28T12:42:01Z |
| dc.title.none.fl_str_mv |
IPAM: information privacy assessment metric in microblogging online social networks |
| title |
IPAM: information privacy assessment metric in microblogging online social networks |
| spellingShingle |
IPAM: information privacy assessment metric in microblogging online social networks Oukemeni, Samia online social networks information privacy protection information security metrics microbloggings privacy measurements xarxes socials online microblogs protecció de la privacitat mètriques mesures de privacitat seguretat de la informació redes sociales online microblogs métricas medidas de privacidad seguridad de la información Data protection Protecció de dades Protección de datos |
| title_short |
IPAM: information privacy assessment metric in microblogging online social networks |
| title_full |
IPAM: information privacy assessment metric in microblogging online social networks |
| title_fullStr |
IPAM: information privacy assessment metric in microblogging online social networks |
| title_full_unstemmed |
IPAM: information privacy assessment metric in microblogging online social networks |
| title_sort |
IPAM: information privacy assessment metric in microblogging online social networks |
| dc.creator.none.fl_str_mv |
Oukemeni, Samia Rifà-Pous, Helena Marquès Puig, Joan Manuel |
| author |
Oukemeni, Samia |
| author_facet |
Oukemeni, Samia Rifà-Pous, Helena Marquès Puig, Joan Manuel |
| author_role |
author |
| author2 |
Rifà-Pous, Helena Marquès Puig, Joan Manuel |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) |
| dc.subject.none.fl_str_mv |
online social networks information privacy protection information security metrics microbloggings privacy measurements xarxes socials online microblogs protecció de la privacitat mètriques mesures de privacitat seguretat de la informació redes sociales online microblogs métricas medidas de privacidad seguridad de la información Data protection Protecció de dades Protección de datos |
| topic |
online social networks information privacy protection information security metrics microbloggings privacy measurements xarxes socials online microblogs protecció de la privacitat mètriques mesures de privacitat seguretat de la informació redes sociales online microblogs métricas medidas de privacidad seguridad de la información Data protection Protecció de dades Protección de datos |
| description |
A large amount of sensitive data is transferred, stored, processed, and analyzed daily in Online Social Networks (OSNs). Thus, an effective and efficient evaluation of the privacy level provided in such services is necessary to meet user expectations and comply with the requirement of the applicable laws and regulations. Several prior works have proposed mechanisms for evaluating and calculating privacy scores in OSNs. However, current models are system-specific and assess privacy only from the user's perspective. There is still a lack of a universal model that can quantify the level of privacy and compare between different systems. In this paper, we propose a generic framework to (i) guide the development of privacy metrics and (ii) to measure and assess the privacy level of OSNs, more specifically microblogging systems. The present study develops an algorithmic model to compute privacy scores based on the impact of privacy and security requirements, accessibility, and difficulty of information extraction. The proposed framework aims to provide users as well as system providers with a measure of how much the investigated system is protecting privacy. It allows also comparing the privacy protection level between different systems. The privacy score framework has been tested using real microblogging social networks and the results show the potential of the proposed privacy scoring framework. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2020 2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10609/122986 |
| url |
http://hdl.handle.net/10609/122986 |
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Inglés |
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Inglés |
| dc.relation.none.fl_str_mv |
IEEE Access, 2019, 7() https://doi.org/10.1109/ACCESS.2019.2932899 |
| dc.rights.none.fl_str_mv |
CC BY http://creativecommons.org/licenses/by/4.0/es/ info:eu-repo/semantics/openAccess |
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CC BY http://creativecommons.org/licenses/by/4.0/es/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
IEEE Access |
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IEEE Access |
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reponame:O2, repositorio institucional de la UOC instname:Universitat Oberta de Catalunya (UOC) |
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Universitat Oberta de Catalunya (UOC) |
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O2, repositorio institucional de la UOC |
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O2, repositorio institucional de la UOC |
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15,300724 |