https://repositorio.ufba.br/handle/ri/34155 2026-05-05T01:23:23Z https://repositorio.ufba.br/handle/ri/44140 Título: Integrando a blockchain à cadeia de produção por meio de IoT: caso de uso da indústria do cacau. Autor(es): Abijaude, Jauberth Weyll Primeiro Orientador: Lima, George Marconi de Araújo Abstract: This dissertation presents the development of an innovative technological artifact that integrates Internet of Things (IoT) devices, blockchain technology, and a service-oriented middleware to enable the traceability and automated control of the fermentation and drying processes of fine cocoa. The work begins with a contextualization of the subject, followed by a conceptual and technical review of the fundamentals of IoT, consensus protocols used in blockchains, and architectural models that support the efficient integration of IoT and blockchain systems. Within this context, both functional and non-functional requirements are analyzed, particularly those enabling the adoption of blockchain solutions in computationally constrained environments, which are typical in IoT scenarios. Subsequently, the development of a service-oriented middleware is described. This middleware supports semantic interoperability through the use of ontologies and is designed to ensure compatibility among heterogeneous devices. It offers APIs based on the REST architectural style, which were adapted to emulate the behavior of SNMP (Simple Network Management Protocol) messages. This approach led to a significant reduction in message exchange and computational resource consumption. Additionally, the dissertation describes the distributed applications developed to configure and manage the control of fermentation and drying actions, supported by custom-designed IoT hardware specifically built for this purpose. The data captured by the sensors are pre-processed and forwarded to the middleware, which then records them in smart contracts deployed on the Ethereum blockchain, thus ensuring the process benefits from the inherent immutability, auditability, and reliability provided by blockchain technology. The thesis also presents a contextual overview of the cocoa-producing region of Southern Bahia, discussing the challenges and opportunities associated with the adoption of Agriculture 4.0 technologies. As part of the evaluation of the proposed solution, a proof of concept was developed, demonstrating key results such as computational resource savings, messaging efficiency, and reliability in data traceability. Finally, it is worth noting that beyond its applicability in the cocoa sector, the developed middleware has the potential to be extended to other domains, such as asset inventory control and water resource management, thus demonstrating the versatility and robustness of the proposed architecture. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Tese 2025-09-30T00:00:00Z https://repositorio.ufba.br/handle/ri/44137 Título: FoT-PDS: a user-centric paradigm for privacy-preserving IoT. Autor(es): Pinto, George Pacheco Primeiro Orientador: Prazeres, Cássio Vinicius Serafim Abstract: The 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 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 move- ment 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 empower- ing 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 con- sent 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 im- pact 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 the FoT-PDS as a viable and effective approach for promoting data control and mitigating privacy risks in the IoT context. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Tese 0018-11-01T00:00:00Z https://repositorio.ufba.br/handle/ri/43979 Título: Diferenciação de serviços em Redes de Dados Nomeados: novas perspectivas através da semântica de nomeação, do cache e da manutenção de estados. Autor(es): Araújo, Francisco Renato Cavalcante Primeiro Orientador: Sampaio, Leobino Nascimento Abstract: The accelerated growth of applications and services on the Internet, with heterogeneous requirements, demands more efficient service differentiation mechanisms than those offered by traditional IP networks. In this context, Named Data Networking (NDN) emerges as a promising alternative to meet the needs of the current communication model. NDN introduces a paradigm shift from the traditional IP address-oriented architecture by prioritizing content access by name rather than by location, and by offering features such as in-network caching, stateful forwarding, and packet-level security—capabilities that enable more sophisticated resource management. Despite its benefits, NDN by default does not implement service differentiation mechanisms, treating all traffic uniformly, which limits support for applications with distinct Quality of Service (QoS) requirements. Furthermore, the efficiency of on-path caching and conventional forwarding strategies can be compromised in dynamic environments with high competition for resources. This thesis proposes a set of adaptive mechanisms for QoS provisioning in NDN, based on the integration of naming semantics, cache management, and forwarding state maintenance, focusing on service differentiation. The developed works include: a cooperative and adaptive forwarding mechanism for traffic control based on forwarding state to mitigate interest packets flooding in wireless NDN; an opportunistic and cooperative caching mechanism to support producer mobility; a dynamic, content-centric load-balancing mechanism that promotes efficient traffic distribution and differentiated content delivery; and an integrated approach that combines naming semantics and cache management to enhance QoS provisioning and the performance of heterogeneous applications. The proposed mechanisms are designed, implemented, and evaluated through simulations using ndnSIM, considering different network topologies and scenarios, including both mobile and wired networks. These mechanisms explore several components of the NDN stack, such as naming, caching, and forwarding. In this way, the thesis presents new perspectives for service differentiation in NDN, demonstrating that the integration among different components has the potential to provide QoS more efficiently and to support heterogeneous applications. This work establishes conceptual foundations and practical mechanisms that can guide future research in this field. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Tese 2025-12-16T00:00:00Z https://repositorio.ufba.br/handle/ri/43834 Título: On leveraging Named Data Networking for vehicular and edge computing applications. Autor(es): Araujo, Guilherme Braga Primeiro Orientador: Sampaio, Leobino Nascimento Abstract: Modern vehicles are increasingly equipped with advanced processing, storage, and wireless communication capabilities, making them more intelligent and interconnected. In this context, Vehicular Ad Hoc Networks (VANETs) are crucial for enabling communication models among vehicles, distributed infrastructures, and monitoring devices. Despite these benefits, integrating VANET solutions into Smart Cities for Edge Computing scenarios requires a network architecture capable of handling heterogeneous communication requirements across distributed applications in multi-access environments. Vehicular mobility, dynamic communication models, and security aspects pose fundamental challenges to the development of scalable and reliable applications. Constant topology changes, caused by mobility, lead to intermittent connections that further complicate the design of distributed applications. Under these conditions, the TCP/IP architecture exhibits significant limitations. In contrast, emerging Information-Centric Networking models—and, in particular, the Named Data Networking (NDN) architecture—have arisen as promising alternatives, providing an optimized communication model with additional network-layer services like security support, content-centric delivery, and independence from the physical location of data and service providers. This thesis investigates the development of different classes of vehicular applications in realistic Smart City and Edge Computing scenarios, supported by the NDN architecture. First, it presents a study of vehicular networks, addressing their main characteristics, applications, and critical aspects. Then, it provides a detailed analysis of the data-centric communication model, highlighting its intrinsic properties and advantages over the TCP/IP model in VANETs. Finally, proof-of-concept implementations are proposed for representative distributed applications, showcasing practical design aspects and employing NDN as the underlying communication architecture between network entities. The main contributions of this thesis are as follows: (i) the development of an environment for simulating realistic applications in Vehicular Named Data Networking, the NDN4IVC simulator; (ii) the design of an Intelligent Transportation System, named NDN-Waze, for monitoring and optimizing vehicular traffic; (iii) the proposal of a service-oriented architecture for data offloading in Vehicular Edge Computing scenarios, called iETR (intelligent Edge-Traffic Routing), designed to efficiently transport large data volumes with the support of the NDN architecture and the orchestration of mobile agents (i.e., vehicles) integrated into the edge computing environment. The proposed solutions were evaluated through simulations, which demonstrated that the intrinsic properties of the NDN architecture favor the development of new classes of services in emerging networks. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Tese 2025-12-12T00:00:00Z