http://hdl.handle.net/10071/2106 2026-04-23T19:31:52Z 2026-04-23T19:31:52Z Noetzold, D. Barbosa, J. L. V. Santana, J. F. P. Leithardt, V. R. Q. http://hdl.handle.net/10071/37011 2026-04-23T15:16:22Z 2026-01-01T00:00:00Z

Título próprio: Reinforcement learning-based adaptive quantum-safe cryptography for DN25-compliant smart environments Autoria: Noetzold, D.; Barbosa, J. L. V.; Santana, J. F. P.; Leithardt, V. R. Q. Resumo: The emergence of quantum computing challenges traditional security mechanisms, particularly in heterogeneous and resource-constrained IoT and smart environments that must satisfy DN25 requirements. This work introduces a reinforcement learning-driven model for the adaptive selection and orchestration of cryptographic algorithms. Acting as an intelligent decision layer, the system observes contextual, network, and operational metrics to recommend or enforce configurations combining classical schemes, post-quantum cryptography, and Quantum Key Distribution when available. The selection problem is formulated as a Markov Decision Process with state and action spaces aligned with protocol control flows and is embedded into a security middleware with negotiation and fallback mechanisms to ensure interoperability and policy compliance without modifying application logic. Experimental results demonstrate that the model dynamically adjusts key lengths, algorithm families, and security policies according to risk and resource conditions, increasing post-quantum cryptography and Quantum Key Distribution usage by up to 33.4% and 23.9% in high-risk scenarios while favoring low-latency classical or hybrid options for less critical traffic. The system achieves success rates above 78% while maintaining stable latency and resource usage during extended operation.

2026-01-01T00:00:00Z Čale, D. Ferreira, J. C. Madureira, A. Coutinho, C. http://hdl.handle.net/10071/36964 2026-04-21T10:09:43Z 2026-01-01T00:00:00Z

Título próprio: A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0 Autoria: Čale, D.; Ferreira, J. C.; Madureira, A.; Coutinho, C. Resumo: Web3 technologies, representing the next generation of a decentralised and user-centric Internet, offer innovative solutions to enhance adaptability, sustainability, and resilience in logistics systems aligned with the principles of Logistics 5.0. This study conducts a Systematic Literature Review (SLR) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, analysing peer-reviewed journal articles published between 2018 and 2024 and retrieved from Scopus, Web of Science Core Collection, IEEE Xplore, and ACM Digital Library. The review specifically focuses on trucking logistics, a sector characterised by high fossil-fuel dependency, operational fragmentation, and significant environmental impact. The findings reveal that Artificial Intelligence and Internet of Things technologies dominate current implementations, mainly supporting fleet management, route optimisation, accident prevention, and risk assessment. In contrast, blockchain applications remain limited, and metaverse-based solutions are largely exploratory and confined to training scenarios. Key research gaps include the scarcity of integrated Web3 solutions, the limited consideration of human-centric Logistics 5.0 dimensions, and the lack of large-scale empirical validation in real-world trucking operations. Based on the analysis, this paper proposes a conceptual framework that maps Web3 technologies to trucking logistics areas, investment priorities, and Logistics 5.0 objectives, offering actionable guidance for Logistics Service Providers transitioning from Logistics 4.0 to Logistics 5.0.

2026-01-01T00:00:00Z Machado Alexandre, I. http://hdl.handle.net/10071/36929 2026-04-16T11:59:29Z 2026-01-01T00:00:00Z

Título próprio: Dementia: Harnessing the power of slow memory to prevent disease progression Autoria: Machado Alexandre, I. Resumo: As life expectancy increases among industrialized countries, age-related illnesses such as Alzheimer’s have become more common. Alzheimer’s, a common type of dementia, encompasses progressive cognitive loss, impacting memory, reasoning, and social behavior. This article explores the integration of slow memory within the MEM+ application, designed to stimulate memory and cognitive functions in people with Alzheimer’s dementia. This article presents a methodological approach to incorporating slow memory exercises into MEM*, ensuring adaptability for people with dementia across different stages of the disease. The applied methodologies encompass iterative design processes, cognitive task evaluations, and feedback collection from health professionals and people with dementia. The application’s effectiveness was assessed through a combination of quantitative cognitive impact assessments and qualitative feedback, focusing on the impact on memory retention and cognitive performance. Findings suggest that a slow memory approach, when combined with digital cognitive tools, can play a crucial role in enhancing engagement among people with dementia.

2026-01-01T00:00:00Z Gatti, F. Pedro, J. Costa, N. Cancela, L. http://hdl.handle.net/10071/36917 2026-04-16T10:21:19Z 2026-01-01T00:00:00Z

Título próprio: Design of filterless horseshoe networks optimized for interoperable coherent pluggable transceivers Autoria: Gatti, F.; Pedro, J.; Costa, N.; Cancela, L. Resumo: The continuous growth of traffic in metro networks is increasing the need for cost-effective, scalable, and power-efficient optical solutions. Filterless optical networks (FONs) have emerged as a promising architecture for metro-aggregation and metro-access domains, thanks to their low complexity and reliance on passive optical components. However, their inherent broadcast nature introduces key challenges, including spectrum waste, limited power equalization, and significant noise accumulation, particularly when coherent pluggable transceivers are employed. This work provides a detailed assessment of FON performance using state-of-the-art multi-source agreement (MSA)-compliant coherent modules, evaluating both point-to-point (P2P) and digital subcarrier multiplexing (DSCM)-based point-to-multipoint (P2MP) architectures. A novel optical amplifier (OA) optimization algorithm is proposed to balance expressed and added signal power in FON, accounting for optical power saturation effects and optical performance degradation due to limited power at the receiver input. The analysis highlights the substantial impact of transmitter out-of-band (OB) noise in FONs and its detrimental accumulation during multi-channel colorless aggregation, which can limit network capacity. In scenarios with lower capacity requirements, P2MP architectures demonstrate superior performance, benefiting from reduced insertion loss and lower OB noise accumulation while offering enhanced scalability compared with P2P solutions. Overall, the study highlights that FONs combined with coherent pluggables can support cost-efficient and scalable metro solutions, provided that OB noise, power imbalance, and amplifier operation are properly addressed through optimized design strategies.

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