Luigi Gallo – Page 2 – AI4HealthSec

UNITED NATIONS: COUNTERING THE USE OF ICT FOR CRIMINAL PURPOSES

AI4HEALTHSEC was presented, among other cybersecurity-related projects, during the first intersessional consultation of the Ad Hoc Committee established by the UN General Assembly and to which Privanova is a member. The committee aims to elaborate a comprehensive International Convention on Countering the Use of Information and Communications Technologies for Criminal Purposes. The project was thus …

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AI4HealthSec: A Dynamic and Self-Organized Artificial Swarm Intelligence Solution for Security and Privacy Threats in Healthcare ICT Infrastructures

Articles

“AI4HealthSec: A Dynamic and Self-Organized Artificial Swarm Intelligence Solution for Security and Privacy Threats in Healthcare ICT Infrastructurese” was originally published on Privanova.com

AI4HealthSec: ensuring privacy in healthcare ICT infrastructure

Articles

“AI4HealthSec: ensuring privacy in healthcare ICT infrastructure” was originally published on Privanova.com

Artificial Intelligence and Ethics in EU-funded Projects

Articles

“Artificial Intelligence and Ethics in EU-funded Projects” was originally published on Privanova.com

Ai4HealthSec Requirements and Research Analysis

Articles

WP2 conducted a requirements analysis of the Healthcare related CS domain

An integrated cyber security risk management framework and risk predication for the critical infrastructure protection

Journal

Kure, H. I., Islam, S., & Mouratidis, H. (2022). An integrated cyber security risk management framework and risk predication for the critical infrastructure protection. Neural Computing and Applications, 34(18), 15241-15271. http://doi.org/10.1007/s00521-022-06959-2

Process Authentication through Blockchain: Three Case Studies

Journal

Ciampi, M., Romano, D., & Schmid, G. (2022). Process Authentication through Blockchain: Three Case Studies. Cryptography, 6(4), 58. http://doi.org/10.3390/cryptography6040058

Iterative Annotation of Biomedical NER Corpora with Deep Neural Networks and Knowledge Bases

Journal

Silvestri, S., Gargiulo, F., & Ciampi, M. (2022). Iterative annotation of biomedical ner corpora with deep neural networks and knowledge bases. Applied Sciences, 12(12), 5775. http://doi.org/10.3390/app12125775

The supply chain of a Living Lab: Modelling security, privacy, and vulnerability issues alongside with their impact and potential mitigation strategies

Journal

Kioskli, K., Dellagiacoma, D., Fotis, T., & Mouratidis, H. (2022). The supply chain of a Living Lab: Modelling security, privacy, and vulnerability issues alongside with their impact and potential mitigation strategies. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 13(2), 147-182. http://doi.org/10.22667/JOWUA.2022.06.30.147

Vulnerability prediction for secure healthcare supply chain service delivery

Journal

Islam, S., Abba, A., Ismail, U., Mouratidis, H., & Papastergiou, S. (2022). Vulnerability prediction for secure healthcare supply chain service delivery. Integrated Computer-Aided Engineering, (Preprint), 1-21.http://doi.org/10.3233/ICA-220689