Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-11-30T12:28:21Z No. of bitstreams: 1 TIAGO MARCOS ALVES_.pdf: 2097379 bytes, checksum: f4cd33a52ef54f387fff8437a89207e8 (MD5) / Made available in DSpace on 2015-11-30T12:28:21Z (GMT). No. of bitstreams: 1 TIAGO MARCOS ALVES_.pdf: 2097379 bytes, checksum: f4cd33a52ef54f387fff8437a89207e8 (MD5) Previous issue date: 2015-08-26 / UNISINOS - Universidade do Vale do Rio dos Sinos / A Internet das Coisas (IoT) permite a interconexão de objetos inteligentes, tais como smartphones, tablets, televisores e sensores sem fio, com os seres humanos, usando diferentes protocolos de comunicação através do desenvolvimento de uma rede heterogênea multimodal dinâmica. Neste sentido a convergência da tecnologia de IoT com o conceito de redes sociais fez surgir um paradigma chamado Internet das Coisas Sociais (SIoT). Na SIoT, os objetos imitam comportamentos de seres humanos e criam seus próprios relacionamentos baseado em regras estabelecidas pelos seus proprietários. Nesse âmbito, este trabalho propõe a disponibilização de uma rede social que explore os conceitos de SIoT utilizando a tecnologia Near Field Communication (NFC). O modelo proposto define uma plataforma para lidar com a comunicação de objetos inteligentes em um campus universitário para benefício dos estudantes, professores e demais participantes da comunidade acadêmica. Neste modelo, a definição de objetos inteligentes é a de objetos que oferecem funcionalidades para interação com os seres humanos, tais como smartphones, tablets, refrigeradores e televisores. Como contribuição científica, este trabalho propõe uma rede social para objetos inteligentes com aplicação em um ambiente universitário, baseada na abordagem de SIoT. O modelo, denominado SIoTCampus, foca no uso dos inúmeros objetos existentes em um campus universitário, propondo um relacionamento entre estes com a finalidade de ser uma nova ferramenta para disseminar informações entre os membros que compõem a comunidade universitária, tais como professores, funcionários, alunos e visitantes. Dentre os cenários existentes de aplicações exclusivas para SIoT não foi observado uma aplicação para este tipo de relacionamento focada para um campus universitário. Desta forma, a proposta do modelo SIoTCampus é a de uma rede social exclusiva para objetos inteligentes em um ambiente acadêmico em que as informações de contexto, como localização, agenda, etc são usadas como critérios para estabelecer relacionamentos entre os dispositivos inteligentes. Configurações iniciais sobre preferências dos proprietários são informadas neste modelo em um aplicativo móvel desenvolvido para esta função. Assim, informações específicas sobre determinados assuntos, eventos publicados, notícias relevantes a determinados temas em um campus universitário, que forem capturados por estes objetos são enviadas a um servidor e analisadas de forma que estas informações possam ser ou não usadas para estabelecer relações entre estes objetos. Os resultados obtidos com a realização deste trabalho apresentaram uma arquitetura de comunicação que buscou lidar com os possíveis relacionamentos entre os objetos inteligentes presentes na universidade. A avaliação deste trabalho foi feita através da utilização de cenários visando explorar a ideia principal aqui descrita que é o relacionamento entre os objetos inteligentes. Alguns cenários para esta avaliação foram executados e aplicados a um grupo de estudantes do curso de Ciência da Computação da Universidade do Vale do Rio dos Sinos. Dentre os resultados alcançados cabe destacar que para 80% dos usuários que participaram desta avaliação o modelo pode se tornar uma importante ferramenta de integração entre os componentes do campus acadêmico. Outro ponto importante destacado para o perfil de participantes desta avaliação foi que o emprego da tecnologia NFC amplia as possibilidades de uso do modelo. Isto se justifica devido às novas formas de interação entre os dispositivos de usuários que poderiam ser atendidas pelo emprego desta tecnologia. / The Internet of Things (IoT) allows the interconnection of smart objects, such as smartphones, tablets, televisions and wireless sensors, with humans, using different communication protocols through the development of a heterogeneous multi-modal dynamic network. In this sense the convergence of IoT technology with the concept of social networks has given rise to a paradigm called Internet of Things Social (SIoT). In SIoT objects mimic behaviors of humans and create their own relationships based on rules established by its owners. In this context, this paper proposes the provision of a social network that explore the concepts of SIoT using Near Field Communication (NFC) technology. The proposed model defines a platform to handle communication of smart objects on a college campus for the benefit of students, teachers and other participants from the academic community. In this model, the definition of the smart objects are objects that provide functionality for interacting with humans, such as smartphones, tablet, refrigerators and televisions. As a scientific contribution this paper proposes a social network for smart objects with application in a university setting, based on the approach of SIoT. The model, called SIoTCampus, focuses on the use of several existing objects on a college campus, suggesting a relationship between these in order to be a new tool to disseminate information among the members of the university community, including faculty, staff, students and visitors. Among the existing scenarios of unique applications for SIoT, it was not observed an application for this kind of focused relationship to a college campus. Thus the proposal of SIoTCampus model is an exclusive social network for smart objects in an academic environment in which context information such as location, calendar, etc. are used as criteria for establishing relationships between intelligent devices. Initial settings on preferences of owners are informed in this model in a mobile application developed for this function. So specific information about certain subjects, published events, relevant news certain topics on a college campus, which are captured by these objects are sent to a server and analyzed so that this information may or may not be used to establish relationships between these objects. The results of this work showed a communications architecture that sought to deal with the possible relationships between intelligent objects present at the university. The assessment of this work was done through the use of scenarios to explore the main idea here is that described the relationship between Smart Objects. Some scenarios for this assessment were implemented and applied to a group of students of Computer Science Course of the Universidad do Vale do Rio dos Sinos. Among the results we highlight that for 80% of users who participated in this evaluation found that the model can become an important integration tool among members of the academic campus. Another important point highlighted to the participants profile of this evaluation was that the use of NFC technology expands the model of using possibilities. This is justified due to new forms of interaction between devices of users that could be met by the use of this technology.

As humans, we tackle many problems in complex societies and manage the complexities of networked social systems. Cognition and sociability are two vital human capabilities that improve social life and complex social interactions. Adding these features to smart devices makes them capable of managing complex and networked Internet of Things (IoT) settings. Cognitive and social devices can improve their relationships and connections with other devices and people to better serve human needs. Nowadays, researchers are investigating two future generations of IoT: social IoT (SIoT) and cognitive IoT (CIoT). This study develops a new framework for IoT, called CSIoT, by using complexity science concepts and by integrating social and cognitive IoT concepts. This framework uses a new mechanism to leverage the friendships between devices to address service management, privacy, and security. The framework addresses network navigability, resilience, and heterogeneity between devices in IoT settings. This study uses a new simulation tool for evaluating the new CSIoT framework and evaluates the privacy-preserving ability of CSIoT using the new simulation tool. To address different CSIoT security and privacy issues, this study also proposes a blockchain-based CSIoT. The evaluation results show that CSIoT can effectively preserve the privacy and the blockchain-based CSIoT performs effectively in addressing different privacy and security issues.

Récemment, l'intégration entre les environnements informatiques et de réseautage a été largement promu pour fournir des services intelligents à des utilisateurs finaux ainsi que l'utilisation efficace des ressources. Cette convergence a ouvert la voie à l'émergence de l'internet des objets (IdO). Le paradigme de l'IdO repose principalement sur la fabrication d'objets, appelés les choses, disparaître et se tissent dans le tissu de notre vie de tous les jours pour nous soutenir dans l'accomplissement des activités quotidiennes. L'évolutivité et l'hétérogénéité sont parmi les principaux défis qui entravent la réalisation à grande échelle de services de l'IdO dans la vie quotidienne des utilisateurs. Afin de relever les défis de l'IdO, un nouveau volet de recherche est venu en avant dans la littérature comme une classe paradigmatique des Cyber-physiques systèmes sociaux (CSPR), qui est connu comme l'Internet social des choses (Siot). Le SIOT se fonde sur la notion soulignée par phénomène petite-monde où la structure sociale permettant relation sociale fondée sur la confiance entre les personnes et les objets, d'une manière qui ressemble à des services de réseaux sociaux traditionnels (SNS) est suggérée de relever les défis de l'IdO. Cependant, depuis SIOT hérite des caractéristiques de différents informatiques et de réseautage environnements (par exemple, l'IdO et SNS) cela, en fait, augmente la quantité et la variété des données contextuelles qui doit être manipulé pour Adaptive fourniture de services dans Siot, qui agit comme le principal défi adressé dans cette thèse. Autrement dit, dans cette thèse, nous proposons la notion de contexte cognitif lorsque, dans certaine situation spatio-temporelle, le raisonnement sur les aspects objectifs du cadre, ce qui représente l'environnement physique, avec le contexte subjective, qui représente les aspects comportementaux et sociaux, est considéré comme l'amélioration des services SIOT intelligence et la capacité d'adaptation aux besoins conjoncturels des utilisateurs. Nous envisageons technologies du Web sémantique pour déployer notre contexte cognitif proposé dans deux domaines d'application; sensible au contexte recommandation des tâches quotidiennes dans les maisons intelligentes et structure sociale dépendant de la situation des choses. Un prototype de preuve de concept a été développé pour chaque domaine d'application, dans le but de démontrer l'intégration harmonieuse des objets sur le Web pour la réalisation de certaines applications. Nos résultats empiriques montrent un niveau de service amélioré l'adaptabilité et la complexité en temps de fonctionner lors de l'application de notre contexte cognitif suggéré / The paradigm of the Social Internet of Things (SIoT) is being promoted in the literature to boost a new trend wherein the benefits of social network services are exhibited within the network of connected objects i.e., the Internet of Things (IoT). The novel user-friendly interaction framework of the SIoT opens the doors for enhancing the intelligence required to stimulate a shift in the IoT from a heterogeneous network of independently connected objects towards a manageable network of everything. In practice, achieving scalability within the large-scale and the heterogeneous paradigm of the IoT while maintaining on top of its user-friendly and intuitive services to bridge human-to-machine perceptions and encourage the technology’s adaptation is a major challenge which is hindering the realization and deployment of the IoT technologies and applications into people’s daily live. For the goal of handling IoT challenges, as well as improve the level of smart services adaptability to users’ situational needs, in this thesis, novel SIoT-based application architecture is provided. That is, Semantic Web Technologies are envisaged as a means to develop automated, value-added services for SIoT. While, interoperability and automation are essential requirement to seamlessly integrate such services into user life, Ontologies are used to semantically describe Web services with the aim of enabling the automatic invocation and composition of these services as well as support interactions across the cyber, physical and social worlds. On the other hand, handling the variety of contextual data in SIoT for intelligent decision making is another big challenge which is still in very early stages of research. In this thesis we propose a cognitive reasoning approach taking into consideration achieving situational-awareness (SA) in SIoT. This reasoning approach is deployed within two application domains where results show an improved level of services adaptability compared to location-aware services which are previously proposed in the literature