Jorge, H., Wanzeller, C., Henriques, J. (2025).
Evaluating Homomorphic Encryption Schemes for Privacy and Security in Healthcare Data Management.
Journal of Cybersecurity and Privacy, 5(3), 74.
https://doi.org/10.3390/jcp5030074
Saraiva, L., Henriques, J., Silva, J., Barbosa, A., Oliveira, S. (2025).
A Mixed Reality-Based Training and Guidance System for Quality Control.
Computers, 14(11), 479.
https://doi.org/10.3390/computers14110479
0000-0001-7380-9511 • BB15-BFE2-17AA
INSTITUTO POLITÉCNICO DE VISEU • Escola Superior de Tecnologia e Gestão de Viseu
Henriques, J., Caldeira, F., Cruz, T., Simoes, P. (2024).
A Survey on Forensics and Compliance Auditing for Critical Infrastructure Protection.
IEEE Access, (12), 2409-2444.
http://dx.doi.org/10.1109/access.2023.3348552
Nascimento, B., Santos, R., Henriques, J., Bernardo, M. V., Caldeira, F. (2024).
Availability, Scalability, and Security in the Migration from Container-Based to Cloud-Native Applications.
Computers, 13(8), 192.
https://doi.org/10.3390/computers13080192
Henriques, J., Caldeira, F., Cruz, T., Simões, P. (2024).
A Survey on Forensics and Compliance Auditing for Critical Infrastructure Protection.
IEEE Access, 12: 2409-2444.
DOI: 10.1109/ACCESS.2023.3348552
Principal Researcher:
Elisabete Silva
Duration: 2023 – 2025
Cised team members
Isabel Brás
Filipe Caldeira
João Menoita Henriques
Ana Matos
The protection and conservation of burned forest areas requires specific actions that must be developed with a strong awareness of the local reality regarding climate, hydrogeology, social expectations and economy. Recent studies show that the ecological effects of post-fire rehabilitation treatments need to be determined and taken into account when defining forest management models, since some options may increase the level of soil degradation.
Consequently, it is urgent to assess the effects of the options taken and ensure that they are included in the decision-making process. The main objective of R-FOREST project is to work on recent forest areas burned to be more resistant to fires and erosion, and thereby increase the resilience of forest ecosystems. The specific objectives intended to be achieved are: 1- Assess the effect of fire on the physical and chemical dynamics of the burned soil; 2 – Assess the soil restoration using mulching with different organic additives and its effect on ecosystem recovery, and use satellite images to improve the characterization and prediction of its constituents; 3- Modell and validate of the observed effects to predict the evolution of soil properties; and 4 - Envelop all stakeholders, including landowners and authorities, on the importance of soil protection in order to have a resilient ecosystem.
First, the characterization of the burned area will be made, evaluating the effects of fire on the physical and chemical properties of the soil. Then, 2 areas with about 0,5 hectare each (0,5 ha burned and 0,5 ha unburned) will be used to develop different soil recovery options through mulching, using urban waste composts and agro-forestry waste. The criteria for choosing the best additives will be based on soil recovery capacity, measuring environmental indicators. Sampling campaigns will be carried out to evaluate the soil physical and chemical properties, soil quality indices through the content of humic substances and bioindicators. Using univariate and multivariate statistical techniques, comparations will be made between the studied areas to highlight the effects of the intervention. Predictive models and their validation will allow describing structural patterns and comparing the effect of climate and soil restoration techniques on their quality. The success of the selected measures implementation will depend mainly on the involvement of landowners who should be aware for the crucial idiosyncrasies of sustainable forest management in the region, combined with voluntary conservation efforts, to maintain biodiversity, increasing the intrinsic value of the forest. All purposes will be integrated the involvement of researchers, landowners, companies and local associations in a participatory community panel.
Henriques, J., Caldeira, F., Cruz, T., Simões, P. (2023).
Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets.
In Víctor A. V. (Ed.), Advanced Cybersecurity Services Design (pp. 57-72).
Switzerland: MDPI.
doi:10.3390/electronics9071164
Principal Researcher:
Filipe Manuel Simões Caldeira
Duration: 2023 – 2025
Cised team members
João Pedro Menoita Henriques
The Civil Construction industry is characterized by involving projects of high complexity, dimension and budgets with the use of numerous human resources.
However, its construction sites are environments conducive to the occurrence of accidents, some of them fatal or with serious injuries, as a result of the number of workers, goods and equipment that circulate and operate in them. Falls are one of the most recurrent causes associated with accidents. Other consequences of accidents stem from the costs resulting from compensation and new hires, legal liabilities and delays in work, in addition to the impact on the reputation of organizations.
Although there is a national legal framework for managing health and safety at work, with its concepts and standards, the mandatory use of PPE (personal protective equipment), it appears that there is a strong rejection on the part of workers regarding its use. Some of the problems are mitigated by safety management professionals, through the identification of occupational risks on the site, training in the use and handling of PPE, as well as raising awareness of safe behaviour. However, these are disconnected from the reality of operations at the construction site.
To overcome this reality, this project proposes a structure (framework) for auditing safety and health at work in order to reduce the number of accidents at work. This project also intends to define a model that aims to identify the best distribution of sensors across the work sites, avoiding accidents and minimizing their response time. Given the large volume and speed of data to be collected for real-time monitoring processes, an aggregator hub of messages will be proposed that allows efficient exchange between the various stakeholders. Efforts will be delivered to enhance its scalability and reliability by defining a set of performance indicators (KPIs) to guarantee the quality of the services provided by the framework in an uninterrupted manner and with fast response times when faced with large loads.
Henriques, J. Caldeira, F., Cruz, T., Simões, P. (2023).
A forensics and compliance auditing framework for critical infrastructure protection.
International Journal of Critical Infrastructure Protection, 42, 100613.
https://doi.org/10.1016/j.ijcip.2023.100613
