Veröffentlichungen

Sphynx ist in der Regel Partner in Forschungsprojekten, die neue und innovative Ergebnisse hervorbringen. Hier finden Sie einen Index aller Forschungsarbeiten und Veröffentlichungen, an denen unsere Teammitglieder mitgewirkt haben:

2021

Hatzivasilis G. et al., 2021. WARDOG: Awareness Detection Watchdog for Botnet Infection on the Host Device, in IEEE Transactions on Sustainable Computing, vol. 6, no. 1, pp. 4-18, 1 Jan.-March 2021, DOI: 10.1109/TSUSC.2019.2914917

2021

Hatzivasilis G. et al., 2021. SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems. Electronics. 2021; 10(1):92, DOI: 10.3390/electronics10010092

2021

Papoutsakis M. et al., 2021. Towards a Collection of Security and Privacy Patterns. Applied Sciences. 2021; 11(4):1396, DOI: 10.3390/app11041396

2021

Manos P. et al., 2021. “Defining IoT Orchestrations with Security and Privacy by Design: A Gap Analysis,” in IEEE Internet of Things Magazine, vol. 4, no. 2, pp. 80-87, June 2021, DOI: 10.1109/IOTM.0001.2000162

2021

Hatzivasilis G. et al., 2021. The Green Blockchains of Circular Economy. Electronics. 2021; 10(16):2008, DOI: 10.3390/electronics10162008

2021

Smyrlis M. et al., 2021. Teaching Users New IoT Tricks: A Model-driven Cyber Range for IoT Security Training, IEEE Internet of Things (IoT) Magazine, March, 2021

2021

Lampropoulos K. et al., 2021. ASCAPE: An open AI ecosystem to support the quality of life of cancer patients, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 2021, pp. 301-310, DOI: 10.1109/ICHI52183.2021.00054

2021

Danilatou V. et al., 2021. Diffuse intravascular coagulation (DIC) and sepsis induced coagulopathy (SIC): differences and similarities in diagnostic and therapeutic approach in clinical practice. Proceeding of 32nd Congress of the Hellenic Society of Haematology, November 11-14 2021, Athens

2021

Danilatou V. et al., 2021. Prognosis of early and late mortality in critically-ill patients with cancer using big-data and machine learning algorithms. 27th Hellenic Congress of Clinical Oncology, Athens 2021

2021

Danilatou V. et al., 2021. External validation of a machine learning model that predicts in-hospital mortality of patients that are hospitalized in intensive care units with thrombosis: Results from two large medical databases. 32nd Congress of the Hellenic Society of Haematology, November 11-14, 2021, Athens