Model and service for privacy in decentralized online social networks

Intensely using online social networks (OSNs) makes users concerned about privacy of data. Given the centralized nature of these platforms, and since each platform has a particular storage mechanism, authentication, and access control, their users do not have the control and the right over their data. Therefore, users cannot easily switch between similar platforms or transfer data from one platform to another. These issues imply, among other things, a threat to privacy since such users depend on the interests of the service provider responsible for administering OSNs. As a strategy for the decentralization of the OSNs and, consequently, as a solution to the privacy problems in these environments, the so-called decentralized online social networks (DOSNs) have emerged. Unlike OSNs, DOSNs are decentralized content management platforms because they do not use centralized service providers. Although DOSNs address some of the privacy issues encountered in OSNs, DOSNs also pose significant challenges to consider, for example, access control to user profile information with high granularity. This work proposes developing an ontological model and a service to support privacy in DOSNs. The model describes the main concepts of privacy access control in DOSNs and their relationships. In addition, the service will consume the model to apply access control according to the policies represented in the model. Our model was evaluated in two phases to verify its compliance with the proposed domain. Finally, we evaluated our service with a performance evaluation, and the results were satisfactory concerning the response time of access control requests.

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Publication Details

Journal
Journal of Electronic Science and Technology
Published
2025-02-05
DOI
https://doi.org/10.1016/j.jnlest.2025.100302
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

Model and service for privacy in decentralized online social networks

Cássio Prazeres, Frederico Araújo Dur�ão, George Pacheco Pinto, Cíntia da Costa Souza et al.
Journal of Electronic Science and Technology
Privacy-Preserving Technologies in Data
article

Model and service for privacy in decentralized online social networks

Cássio Prazeres, Frederico Araújo Dur�ão, George Pacheco Pinto, Cíntia da Costa Souza, Paulo Roberto de Souza, José Ronaldo Leles
article en

Abstract

Intensely using online social networks (OSNs) makes users concerned about privacy of data. Given the centralized nature of these platforms, and since each platform has a particular storage mechanism, authentication, and access control, their users do not have the control and the right over their data. Therefore, users cannot easily switch between similar platforms or transfer data from one platform to another. These issues imply, among other things, a threat to privacy since such users depend on the interests of the service provider responsible for administering OSNs. As a strategy for the decentralization of the OSNs and, consequently, as a solution to the privacy problems in these environments, the so-called decentralized online social networks (DOSNs) have emerged. Unlike OSNs, DOSNs are decentralized content management platforms because they do not use centralized service providers. Although DOSNs address some of the privacy issues encountered in OSNs, DOSNs also pose significant challenges to consider, for example, access control to user profile information with high granularity. This work proposes developing an ontological model and a service to support privacy in DOSNs. The model describes the main concepts of privacy access control in DOSNs and their relationships. In addition, the service will consume the model to apply access control according to the policies represented in the model. Our model was evaluated in two phases to verify its compliance with the proposed domain. Finally, we evaluated our service with a performance evaluation, and the results were satisfactory concerning the response time of access control requests.

Journal of Electronic Science and TechnologyVol. 23(1)
Universidade Federal da Bahia (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado da Bahia
Reduced inequalities
Openalex Percentile: Top 99%
Privacy-Preserving Technologies in Data
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