Título: | ENABLING DATA REGULATION EVALUATION THROUGH INTELLIGENT AND NORMATIVE MULTIAGENT SYSTEMS DESIGN | ||||||||||||
Autor: |
PAULO HENRIQUE CARDOSO ALVES |
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Colaborador(es): |
HELIO CORTES VIEIRA LOPES - Orientador CLARISSE SIECKENIUS DE SOUZA - Coorientador |
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Catalogação: | 28/NOV/2023 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=65178&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=65178&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.65178 | ||||||||||||
Resumo: | |||||||||||||
Sharing and managing personal data are challenging due to the
massive amount of data generated, uploaded, and digitalized, informed by
data subjects to utilize services, online or not. This challenge disrespects
not only the data subjects, but also data controllers and processors, which
are responsible for security, privacy, anonymity, and data usage under the
legal basis applied and the initial purpose when the data were required.
In this scenario, data protection and regulation take place to organize this
environment proposing rights and duties to the involved agents. However,
each country is free to create and employ its data regulation, e.g., GDPR
in European Union and LGPD in Brazil. Therefore, although the goal is
to protect the data subjects, the regulations can present different rules
based on their jurisdiction. In this scenario, ontologies emerge to identify
the entities and relationships to show them at a high abstraction level,
facilitating ontology alignment with different regulations. To do so, we
developed a metamodel based on GDPR ontologies to enable the LGPD
representation focused on the consent legal basis. Moreover, we proposed
GoDReP (Generation of Data Regulation Plots) to allow actors to represent
their law s interpretation in a specific application scenario. As a result,
we set three scenarios to exercise the GoDReP application. Moreover, in
this thesis, we also propose an intelligent normative multiagent system
architecture (RegulAI) to represent the personal data regulation rights
and obligations, as well as the agent s decision-making process. Finally, we
developed a use case applying RegulAI in the open banking scenario.
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