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How digital technologies enhance competitiveness in manufacturing SMEs

Silva, Agostinho; Almeida, Isabel; Dionísio, Andreia; Rabadão, Carlos; Capela, Carlos

This study examines how digital technologies influence the competitiveness of manufacturing small- and medium-sized enterprises (SMEs), with a focus on labor productivity and export performance. Using a sample of 669 firms in the Portuguese ornamental stone sector, a framework was applied to evaluate five levels of digital maturity through a quantitative approach. This analysis covers five years after the inves...


GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detectio...

Melicias, Francisco S.; Ribeiro, Tiago F. R.; Rabadão, Carlos; Santos, Leonel; Costa, Rogério Luís de C.

The absence of essential security protocols in Industrial Internet of Things (IIoT) networks introduces cybersecurity vulnerabilities and turns them into potential targets for various attack types. Although machine learning has been used for intrusion detection in the IIoT, datasets with representative data of common attacks of IIoT network traffic are limited and often imbalanced. Data augmentation techniques ...

Data: 2024   |   Origem: IC-online


A flow-based intrusion detection framework for internet of things networks

Santos, Leonel; Gonçalves, Ramiro Manuel; Rabadão, Carlos; Martins, José

The application of the Internet of Things concept in domains such as industrial control, building automation, human health, and environmental monitoring, introduces new privacy and security challenges. Consequently, traditional implementation of monitoring and security mechanisms cannot always be presently feasible and adequate due to the number of IoT devices, their heterogeneity and the typical limitations of...

Data: 2023   |   Origem: Biblioteca Digital do IPB

Engineering the application of machine learning in an IDS based on IoT traffic ...

Prazeres, Nuno; Costa, Rogério Luís de C.; Santos, Leonel; Rabadão, Carlos

Internet of Things (IoT) devices are now widely used, enabling intelligent services that, in association with new communication technologies like the 5G and broadband internet, boost smart-city environments. Despite their limited resources, IoT devices collect and share large amounts of data and are connected to the internet, becoming an attractive target for malicious actors. This work uses machine learning co...

Data: 2023   |   Origem: IC-online

Evaluation of AI-based Malware Detection in IoT Network Traffic

Prazeres, Nuno; Costa, Rogério Luís de C.; Santos, Leonel; Rabadão, Carlos

Internet of Things (IoT) devices have become day-to-day technologies. They collect and share a large amount of data, including private data, and are an attractive target of potential attackers. On the other hand, machine learning has been used in several contexts to analyze and classify large volumes of data. Hence, using machine learning to classify network traffic data and identify anomalous traffic and poten...

Data: 2022   |   Origem: IC-online

Log pseudonymization: Privacy maintenance in practice

Varanda, Artur; Santos, Leonel; Costa, Rogério Luís de C.; Oliveira, Adail; Rabadão, Carlos

Mobile phones, social media, and Internet of Things (IoT) devices are examples of day-to-day technologies that collect large amounts of data, including people's location, habits, and preferences. The first regulations on digital data collection and processing privacy were created decades ago, but such an increased amount of collected digital data and the risks associated with the illegal processing and exposure...

Data: 2021   |   Origem: IC-online

Security Mechanisms of a Mobile Health Application for Promoting Physical Activ...

Bastos, David; Ribeiro, José; Silva, Fernando; Rodrigues, Mário; Rabadão, Carlos; Fernández-Caballero, Antonio; Barraca, João Paulo

Physical activity contributes to the maintenance of health conditions and functioning. However, the percentage of older adults who comply with the recommendations for physical activity levels is low when compared to the same percentages on younger groups. The SmartWalk system aims to encourage older adults to perform physical activity (i.e., walking in the city), which is monitored and adjusted by healthcare pr...

Data: 2021   |   Origem: IC-online

IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

Fuentes, Daniel; Correia, Luís; Costa, Nuno; Reis, Arsénio; Ribeiro, José; Rabadão, Carlos; Barroso, João; Pereira, António

The Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)‐based solution to monitor the activities of elderly ...

Data: 2021   |   Origem: IC-online

Usability of Smartbands by the Elderly Population in the Context of Ambient Ass...

Correia, Luís; Fuentes, Daniel; Ribeiro, José; Costa, Nuno; Reis, Arsénio; Rabadão, Carlos; Barroso, João; Pereira, António

Nowadays, the Portuguese population is aging at a fast pace. The situation is more severe in the interior regions of the country, where the rural areas have few people and have been constantly losing population; these are mostly elderly who, in some cases, live socially isolated. They are also often deprived of some types of social, health and technological services. One of the current challenges with respect t...

Data: 2021   |   Origem: IC-online

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