http://repositorio.ufc.br/handle/riufc/24010 2026-06-11T19:46:01Z http://repositorio.ufc.br/handle/riufc/84734 Título: Avaliação do impacto computacional e energético do streaming bidirecional via gRPC no offloading multi-linguagem em ambiente de mobile cloud computing Autor(es): Farias, Miguel Barbosa Abstract: The increasing complexity of mobile applications imposes significant challenges on mobile devices, which are limited in computational and energy resources. In this context, computational offloading has been employed to transfer intensive tasks to remote servers, thereby reducing energy consumption and improving the performance of mobile devices. In parallel, recent advances in communication have enabled the emergence of streaming-based models capable of supporting continuous processing almost in real time. However, most solutions still rely on the traditional request–response model, without exploring the potential benefits of bidirectional streaming and multi-language strategies. Despite the potential of gRPC, its practical application in mobile and multi-language environments remains underexplored, particularly regarding its impact on performance and energy efficiency. This work proposed, implemented, and evaluated a multi-language computational offloading solution based on gRPC with bidirectional streaming, integrating an Android client in Java with servers implemented in Go and Java. The methodology involved applying video processing filters and comparing local and remote execution through metrics such as execution time, CPU usage, and energy consumption. The results demonstrated that the effectiveness of offloading directly depends on task complexity: for the simple filter (Grayscale), local execution proved more efficient, whereas for the more complex filter (Pencil), offloading provided significant gains. In the best evaluated scenario, using the Go server and the 5 GHz Wi-Fi network, the Pencil filter at 1080p resolution achieved a reduction of approximately 69% in execution time, accompanied by lower CPU usage and reduced battery consumption. It was concluded that offloading via gRPC with bidirectional streaming is both feasible and effective for computationally intensive mobile applications, provided it is applied to complex tasks under favorable connectivity conditions. The decision between local and remote execution should be adaptive, considering task complexity, content resolution, and network conditions, in order to maximize performance and energy efficiency in Mobile Cloud Computing environments. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84639 Título: Análise e aprimoramento do modelo matemático para o problema de alocação de salas no contexto dos cursos de tecnologia da UFC — campus Crateús Autor(es): Furtado Neto, José Abstract: The Classroom Assignment Problem (CAP) consists of constructing a timetable that consistently assigns classes, professors, time slots, and rooms while satisfying a set of institutional and operational constraints. Due to its combinatorial nature, the CAP can be addressed through mathematical optimization models. In this context, this work aims to analyze the mathematical model proposed by Sousa (2019) for the CAP in the scope of the Federal University of Ceará — Crateús Campus, as well as to propose improvements that ensure greater structural consistency and practical feasibility of the obtained solutions. A detailed analysis of the original model revealed an inconsistency that allows a single class to be simultaneously assigned to the same day and time slot in different rooms, leading to impractical solutions. To address this issue, a new constraint is introduced into the mathematical model, ensuring that, for each (day, time slot) pair, a class is associated with at most one room. Computational experiments were conducted using the SCIP solver through the OR-Tools framework, considering different groups of instances and model configurations. The results demonstrate that the proposed constraint is effective in eliminating the identified inconsistency, thereby enhancing the structural coherence of the model. However, its inclusion increases the strictness of the problem, resulting in higher computational effort. Additionally, a sensitivity analysis was performed with respect to the professors’ preferred teaching days parameter. The results indicate that relaxing this constraint significantly improves the model’s resolvability, enabling the solver to conclude a larger number of instances either by finding optimal solutions or by certifying infeasibility. Overall, the study highlights the importance of balancing structural consistency and computational performance, and points to future research directions focused on scalability and deeper investigation of problem parameters. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84603 Título: Ofuscação em malwares bancário no Brasil: um estudo de caso sobre o trojan Banbra Autor(es): Melo, Laércio Levi Silva de Abstract: Technological advancement has enabled many banking systems to undergo an extensive modernization process, making communication with users more intuitive. Such changes have made it possible for the majority of banking transactions today to be conducted virtually. However, along with these conveniences, malicious mechanisms have also emerged, aiming to collect and use the personal information of users of these financial platforms, causing financial losses and disruptions. These mechanisms, known as banking trojans, are divided into families, each presenting distinct characteristics and behaviors. One of the techniques used by this type of malware involves the abuse of files in the .cpl format; this technique serves as a method for evading threat detection mechanisms and for disguised execution. Based on reports from specialized platforms, the banking trojan most frequently associated with the use of this technique is Banbra. Although various detection techniques for this type of threat have been developed over time, a significant presence of these trojan families persists, even after many years. This work aims to analyze and map the characteristics and obfuscation techniques of the banking trojan belonging to the Banbra family. The analysis was conducted by observing the scripts within the malicious files, focusing on identifying unique obfuscation techniques that hinder detection by traditional tools. The analysis revealed a sophisticated multi-stage obfuscation architecture, in which the outer layer consisted of the use of a packer to compress the code. Beneath this layer, a series of active evasion tactics were identified, such as anti-analysis techniques and environment reconnaissance. The application of reverse engineering through debugging made it possible to bypass these protections and extract the final payload. This investigation may serve as a foundation for future studies aimed at developing more effective detection mechanisms capable of adapting to the strategies employed by this family of banking trojans. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84303 Título: Comunicação sem barreiras: desenvolvimento de um aplicativo glossário de Libras para surdos e ouvintes Autor(es): Sousa, Victor Jones Mesquita de Abstract: Communication is a funda ental right for everyone, and in the deaf community, Brazilian Sign Language (Libras) plays an essential role in inclusion and accessibility. However, society’s lack of knowledge of the language and the late teaching of Libras to the hearing impaired represent a barrier to communication between these individuals. This work presents a Libras glossary application developed in conjunction with the NFBL, designed to facilitate communication between the deaf and hearing, promoting social inclusion in educational, academic, and professional contexts. The application was developed using modern technologies, with React Native on the frontend and a Java API on the backend. During development, challenges were faced such as the linguistic regionalization of Libras, the efficient storage of videos, and the creation of a fluid and accessible interface. The platform will allow users to search for terms and learn signs in Libras through videos and detailed descriptions. In addition, the system has features such as intelligent search, categorization of signs, and an accessible interface to provide an intuitive experience for everyone. A unique feature of the app is the technical use section, dedicated to specific terms from the academic and professional fields, expanding its learning and use in a professional context. Tipo: TCC 2026-01-01T00:00:00Z