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

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

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

Islam, S.; Papastergiou, S.; Kalogeraki, E.-M.; Kioskli, K. Cyberattack Path Generation and Prioritisation for Securing Healthcare Systems. Appl. Sci. 2022, 12, 4443. https://doi.org/10.3390/app12094443

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

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

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

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

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

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