Um modelo ontológico e um serviço de gerenciamento de dados de apoio à privacidade na Internet das Coisas

• Ano de defesa: 2019
• Autor(a) principal: Arruda, Mayke Ferreira
• Orientador(a): Bulcão Neto, Renato de Freitas
• Banca de defesa: Bulcão Neto, Renato de Freitas, Prazeres, Cássio Vinicius Serafim, Berardi, Rita Cristina Galarraga
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Internet das Coisas; Privacidade; Ontologia; Serviço de gerenciamento; Web semântica
• Palavras-chave em Inglês: Internet of Things; Ontology; Management service; Semantic Web; Privacy
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/9323

In the Internet of Things (IoT) paradigm, real-world objects equipped with identification, detection, network, and processing capabilities communicate and consume services over the Internet to perform some task on behalf of users. Due to the growing popularization of devices with sensing capabilities and the consequent increase in data production from these devices, the literature states that the design of an ontology-based model is an essential starting point for addressing privacy risks in IoT, since the connected devices are increasingly able to monitor human activities. In addition, due to the complexity and dynamicity of IoT environments, we emphasize the need for privacy ontologies that combine expressive and extensible vocabulary but do not overload the processing of privacy data. Facing this problem, this work presents the development of an ontology-based solution for privacy in IoT, composed by: i) IoT-Priv, a privacy ontology for IoT, built as a light layer on IoT concepts imported from an emerging ontology, called IoTLite; and ii) IoT-PrivServ, a privacy management service, which provides functionalities for consumers and / or producers who use the IoT-Priv ontology in modeling their data, abstracting from them the complexity of perform such tasks. As contributions, the results of the evaluation of IoT-Priv and IoT-PrivServ indicate that we maintained the lightness characteristic present in IoT-Lite, which was one of our initial goals. In addition, we have demonstrated that IoT-Priv is expressive and extensible, since its concepts allow complex scenarios to be modeled, and if necessary, the extension points included in the ontology allow it to be imported and extended to meet more specific needs.