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Publicações

2025

L-GTA: Latent Generative Modeling for Time Series Augmentation

Autores
Roque, L; Soares, C; Cerqueira, V; Torgo, L;

Publicação
CoRR

Abstract

2025

Assessing the information security posture of online public services worldwide: Technical insights, trends, and policy implications?

Autores
Ribeiro, D; Fonte, V; Ramos, LF; Silva, M;

Publicação
GOVERNMENT INFORMATION QUARTERLY

Abstract
The fast global expansion of online public services has transformed how governments interact with citizens, offering convenience and efficiency. However, this digital transformation also introduces significant security risks, as sensitive data exchanged between users and service providers over public networks are exposed to cyber threats. Thus, ensuring the security and trustworthiness of these services is critical to the success of Electronic Government (EGOV) initiatives. This study evaluates the information security posture of 3068 public service platforms across all 193 UN Member States through non-intrusive assessments conducted in 2023 and 2024. The evaluation focuses on three key dimensions: (i) the adoption of secure end-to-end communication protocols, (ii) the trustworthiness of digital certificate chains, and (iii) the exposure of hosting servers to known vulnerabilities. The findings reveal that while some progress has been made in securing online public services, substantial gaps remain in the implementation of international security standards and best practices. Many platforms continue to rely on outdated cryptographic protocols, misconfigured certificates, and unpatched vulnerabilities, leaving citizens and services vulnerable to cyber threats due to weaknesses that malicious actors can easily and inconspicuously identify. These insights emphasize the need for effective implementation of more comprehensive cybersecurity policies, proactive security assessments, and improved regulatory compliance checks. Additionally, this work provides actionable guidance for governments and system administrators to enhance the security of EGOV infrastructures by addressing persistent vulnerabilities and adopting robust cybersecurity practices.

2025

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers

Autores
Inácio, R; Kokkinogenis, Z; Cerqueira, V; Soares, C;

Publicação
CoRR

Abstract

2025

Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset

Autores
Jakobs, M; Veloso, B; Gama, J;

Publicação
CoRR

Abstract

2025

Optimisation and Control in Airborne Wind Energy: A Bibliometric Study

Autores
Paiva, LT; Mota, A; Roque, L;

Publicação
Lecture Notes in Electrical Engineering

Abstract
Airborne Wind Energy (AWE) systems represent an innovative method for capturing wind energy at high altitudes, where wind conditions are typically stronger and more consistent. These systems utilize flying devices tethered to a ground station to harness wind energy. An AWE system comprises a tether connecting the flying device to a base station, a control system for maneuvering the device, and a mechanism for converting kinetic energy into electricity. Researchers are exploring various materials, designs, and control methods to enhance the efficiency and reliability of AWE systems. Over the past decade, interest in AWE has surged, leading to a substantial increase in scholarly publications on the topic. This research conducts an in-depth bibliometric analysis. This analysis highlights emerging topics, allowing researchers to identify new trends and areas of interest within a field. By emphasizing these emerging topics, researchers and stakeholders can better align their efforts with the latest developments and opportunities in their area of study. Findings reveal that research on control techniques in AWE has grown at an average annual rate of 16% since 2013. Additionally, the study identifies the most influential aspects of the literature, including key topics, articles, authors, and keywords. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

2025

Generating Large Semi-Synthetic Graphs of Any Size

Autores
Tuna, R; Soares, C;

Publicação
CoRR

Abstract

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