FoT-PDS: A User-Centric Paradigm for Privacy-Preserving IoT

Nome completo do aluno
 
George Pacheco Pinto
 
Título do trabalho
 
FoT-PDS: A User-Centric Paradigm for Privacy-Preserving IoT
 
Resumo do trabalho
 
The Internet of Things (IoT) poses significant challenges to personal data privacy, as it enables pervasive and ubiquitous data collection and processing, often occurring without the user's knowledge and consent. This situation reinforces the "privacy paradox" phenomenon, which poses a trade-off between the benefits of technologies and services and the associated privacy risks. At the same time, users' perceptions of data collection and value have been changing, increasing their concern about exchanging their data for services and driving a movement toward more control for privacy protection. In this scenario, this thesis introduces FoT-PDS, an original paradigm to address privacy issues in the IoT context by empowering users with data control, ensuring transparency in data processing, raising awareness of privacy risks, and fostering trust in service providers. It is a user-centric paradigm that integrates the Fog of Things and Personal Data Stores, promoting decentralized data management and granting individuals fine-grained control over who accesses their data and for which purposes. Additionally, the paradigm includes an AI-assisted consent mechanism based on clustering methods to anticipate profiling risks and support informed decision-making by users. Our experimental study results demonstrate that FoT-PDS enhances users' perception of data control, which has a positive and direct impact on privacy awareness and transparency. Moreover, privacy awareness mediates the indirect effect of data control on trust. Further, the technical evaluation demonstrates the feasibility of the consent mechanism and its potential to mitigate profiling risks. These insights provide empirical evidence supporting the adoption of FoT-PDS as a viable and effective approach for promoting data control and mitigating privacy risks in the IoT context.
 
Orientador
 
Prof. Dr. Cássio Prazeres
 
Membro Titular Externo 1 (com afiliação)
 
Profa. Dra. Miriam Capretz (Western University - Canadá)
 

Link para o curriculum lattes

 

https://scholar.google.com/citations?hl=en&user=O0ZH-1oAAAAJ

 

Membro Titular Externo 2 (com afiliação)

 

Prof. Dr. Renato de Freitas Bulcão Neto (INF - UFG)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/5627556088346425

 

Membro Titular Interno 1 ou Titular Externo 3 (com afiliação)

 

Prof. Dr. Frederico de Araújo Durão (PGCOMP)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/6271096128174325

 

Membro Titular Interno 2 ou Titular Externo 4 (com afiliação)

 

Prof. Dr. Gustavo Bittencourt Figueiredo (PGCOMP - PQ 2)

 

Membro Suplente Externo 1 (com afiliação)

 

Profa. Dra. Maria da Graça Campos Pimentel (ICMC-USP)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/4962820320879891

 

Membro Suplente Externo 2 (com afiliação)

 

Prof. Dr. Viní­cius Fernandes Soares Mota (UFES)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/9305955394665920

 

Membro Suplente Interno 1 ou Suplente Externo 3 (com afiliação)

 

Prof. Dr. Maycon Leone Maciel Peixoto (PGCOMP - PQ C)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/5003713680310544

 

Membro Suplente Interno 2 ou Suplente Externo 4 (com afiliação)

 

Prof. Dr. Ivan do Carmo Machado (PGCOMP - PQ 2)

 

Link para o curriculum lattes

 

http://lattes.cnpq.br/4430958315746203

 

Data da defesa

 

18 Nov, 2025

 

Horário da defesa

 

1:30 PM

 

 

Data da Defesa: 
18/11/2025 - 13:30
Tipo de Defesa: 
Defesa de Doutorado