Abstract
Education is vital in fostering economic growth and societal development, particularly in developing countries like Timor-Leste. As technology has revolutionised education in the digital transformation era, the concept of a smart university, driven by advanced technologies and data analytics, has gained prominence globally. Timor-Leste, amid its progress in institutional structures and public infrastructure, is also exploring integrating smart technologies in higher education. This underscores a commitment of The East Timor National Education Strategic Plan (NESP) 2011-2030 to meet national and international standards, positioning the country at the forefront of educational innovation. This study aims to assess the feasibility of implementing a Smart University in Timor-Leste to evaluate the readiness of the country to embrace digital technologies and integrate them into higher education practices. The research employs a Design Science Research methodology where qualitative and quantitative data are gathered through interviews, surveys, and document analysis. Design artefacts, including system architecture and an evaluation framework, are developed to comprehensively understand the technological and informatics aspects of implementing a Smart University in Timor-Leste. The findings will contribute to decision-making and inform the implementation plan, offering valuable insights into stakeholders' perspectives and perceptions, and will support the advancement of the educational landscape in Timor Leste by integrating smart technologies and innovative practices in higher education.

Abstract
HAL 9000 is an Intrusion Tolerant Systems (ITSs) Risk Manager, which assesses configuration risks against potential intrusions. It utilizes gathered threat knowledge and remains operational, even in the absence of updated information. Based on its advice, the ITSs can dynamically and proactively adapt to recent threats to minimize and mitigate future intrusions from malicious adversaries. Our goal is to reduce the risk linked to the exploitation of recently uncovered vulnerabilities that have not been classified and/or do not have a script to reproduce the exploit, considering the potential that they may have already been exploited as zero-day exploits. Our experiments demonstrate that the proposed solution can effectively learn and replicate National Vulnerability Database's evaluation process with 99% accuracy.

Abstract
O presente artigo concerne aspectos referentes aos conceitos de criatividade e invenção. A criatividade vista enquanto a capacidade de solucionar problemas, já a invenção é vista para além da resolução, mas a produção e criação de problemas. Desse modo, o texto visa contribuir na discussão de metodologias e práticas inventivas, de forma a contribuir com os processos de Inovação na Educação. A metodologia é de cunho exploratório, cartográfico e curatorial. Como resultados da pesquisa, sugerem-se avanços no desenvolvimento de práticas inventivas no campo educativo.

Abstract
Side-channel attacks exploit involuntary information leakages from devices, such as power consumption, electromagnetic radiation, visible light, or acoustic emanations. The objective of these attacks is to gain unauthorized access to data, such as passwords or other sensitive information. In particular, the keyboard acoustic side-channel attacks take advantage of the sound emanating from keystrokes to decipher which keys have been pressed by the user by comparing the produced sounds with a recorded dataset. This paper proposes a prototype that generates false and random keystroke sounds that are mixed with real keystroke sounds, to mitigate the impact of a keyboard acoustic side-channel attack. It includes three security modes low, medium, and high, each offering different levels of protection and user customization. This is accomplished by generating random key sounds and also randomizing the number of key sounds to play and the time between the generated key sounds, during the real keystroke sound. To test the proposed prototype, a dataset was generated and used to assess the security modes execution. The results show that the sound of the real keystrokes is scrambled with the fake keystrokes sounds, making it difficult to decipher which keys have been pressed by the user.

Abstract
This work aims to contribute to a deeper understanding of cryptocurrencies, which have emerged as a unique form within the financial market. While there are numerous cryptocurrencies available, most individuals are only familiar with Bitcoin. This knowledge gap and the lack of literature on the subject motivated the present study to shed light on the key characteristics of cryptocurrencies, along with their advantages and disadvantages. Additionally, we seek to investigate the integration of cryptocurrencies within the financial market by applying a dynamic equicorrelation model. The analysis covers ten cryptocurrencies from June 2(nd), 2016 to May 25(th), 2021. Through the implementation of the dynamic equicorrelation model, we have reached the conclusion that the degree of integration among cryptocurrencies primarily depends on factors such as trading volume, global stock index performance, energy price fluctuations, gold price movements, financial stress index levels, and the index of US implied volatility.

Abstract
Recent advances in deep learning have promoted the advent of many computational systems capable of performing intelligent actions that, until then, were restricted to the human intellect. In the particular case of human languages, these advances allowed the introduction of applications like ChatGPT that are capable of generating coherent text without being explicitly programmed to do so. Instead, these models use large volumes of textual data to learn meaningful representations of human languages. Associated with these advances, concerns about copyright and data privacy infringements caused by these applications have emerged. Despite these concerns, the pace at which new natural language processing applications continued to be developed largely outperformed the introduction of new regulations. Today, communication barriers between legal experts and computer scientists motivate many unintentional legal infringements during the development of such applications. In this paper, a multidisciplinary team intends to bridge this communication gap and promote more compliant Portuguese NLP research by presenting a series of everyday NLP use cases, while highlighting the Portuguese legislation that may arise during its development. © 2024 ELRA Language Resource Association.