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2024 (2)

  • Smyrlis, M., Floros, E., Basdekis, I. et al. RAMA: a risk assessment solution for healthcare organizations. Int. J. Inf. Secur. 23, 1821–1838 (2024). https://doi.org/10.1007/s10207-024-00820-4
  • Panagiotis Bountakas, Konstantinos Fysarakis, Thomas Kyriakakis, Panagiotis Karafotis, Sotiropoulos Aristeidis, Maria Tasouli, Cristina Alcaraz, George Alexandris, Vassiliki Andronikou, Tzortzia Koutsouri, Romarick Yatagha, George Spanoudakis, Sotiris Ioannidis, Fabio Martinelli, and Oleg Illiashenko. 2024. SYNAPSE – An Integrated Cyber Security Risk & Resilience Management Platform, With Holistic Situational Awareness, Incident Response & Preparedness Capabilities: SYNAPSE. In Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES ’24). Association for Computing Machinery, New York, NY, USA, Article 128, 1–10. https://doi.org/10.1145/3664476.3669924

2023 (8)

  • I. Basdekis et al., “Pseudonymisation in the context of GDPR-compliant medical research,” 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltru, Spain, 2023, pp. 1-6, doi: 10.1109/DRCN57075.2023.10108370.
  • Lampropoulos K. et al., 2023. White paper on cybersecurity in the healthcare sector. The HEIR solution. CoRR abs/2310.10139.
  • Nanou C. et al., 2023. Security shortcomings in healthcare: a preliminary investigation of Data Protection Authorities’ decisions, 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltru, Spain, 2023, pp. 1-6, doi: 10.1109/DRCN57075.2023.10108175.
  • Petroulakis, N. et al., 2023. NextGEM: Next-Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health. International Journal of Environmental Research and Public Health, 20(12), 6085;
  • Zych, M. et al., 2023. A BPMN-Based Approach for (2023). Modeling Notation of CACAO Security Playbooks. In Workshop on Data Science for Cyber Security (DS4CS), in conjunction with the 2023 IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2023), Venice, Italy Jul. 31 – Aug. 2, 2023;
  • Fysarakis, K. et al., 2023. PHOENI2X – A European Cyber Resilience Framework With Artificial Intelligence -Assisted Orchestration Automation For Business Continuity, Incident Response & Information Exchange. In Workshop on Electrical Power and Energy Systems Security, Privacy and Resilience (EPES-SPR), in conjunction with the 2023 IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2023), Venice, Italy Jul. 31 – Aug. 2, 2023;
  • Basdekis, I. et al., 2023. Pseudonymisation in the context of GDPR-compliant medical research, 19th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltru, Spain, 2023, pp. 1-6, doi: 10.1109/DRCN57075.2023.10108370;
  • Papoutsakis, M. et al., 2023. CIRCE: architectural patterns for circular and trustworthy by-design IoT orchestrations. Frontiers in Sustainability, 3, 4.;

2022 (8)

  • Danilatou V. et al., 2022. Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems. Int J Mol Sci. 2022 Jun 27;23(13):7132. doi: 10.3390/ijms23137132. PMID: 35806137; PMCID: PMC9266386.
  • Bröring, A. et al., 2022. IntellIoT: Intelligent IoT Environments. In: González-Vidal, A., Mohamed Abdelgawad, A., Sabir, E., Ziegler, S., Ladid, L. (eds) Internet of Things. GIoTS 2022. Lecture Notes in Computer Science, vol 13533. Springer, Cham. https://doi.org/10.1007/978-3-031-20936-9_5;
  • Fysarakis, K. et al., 2022. A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 2601-2609). IEEE;
  • Agostinho, C. et al., 2022. Healthier and Independent Living of the Elderly: Interoperability in a Cross-Project Pilot. In M. Zelm, A. Boza, R-D. Leon, & R. Rodriguez-Rodriguez (Eds.), Interoperability for Enterprise Systems and Applications (I-ESA) Workshops 2022: Valencia, Spain, March 23-25 (Proceedings of Interoperability for Enterprise Systems and Applications Workshops; Vol. 3214). CEUR Workshop Proceedings;
  • Petroulakis, N. et al., 2022. Designing NIKH: the NextGEM Innovation and Knowledge Hub to Access Next Generation Radio Frequency EMF Exposure and Health Data, EEE Conference on Standards for Communications and Networking, 28–30 November 2022, Thessaloniki, Hellas;
  • Bravos G. et al., 2022. Cybersecurity for industrial Internet of Things: architecture, models and lessons learned, IEEE Access, 4:2016 pp.1-20, ISSN 2169-3536, DOI: https://doi.org/10.1109/ACCESS.2022.3225074;
  • Peretokin V. et al., 2022. Overview of the SMART-BEAR Technical Infrastructure. In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health – ICT4AWE, ISBN 978-989-758-566-1; ISSN 2184-4984, pages 117-125. DOI: 10.5220/0011082700003188; Best Paper Award received at the 8th ICT4AWE;
  • Bellandi V. et al., 2022. A methodology to engineering continuous monitoring of intrinsic capacity for elderly people. Complex Intell. Syst. (2022). https://doi.org/10.1007/s40747-022-00775-w;

2021 (15)

  • Schlee, W. et al., 2021. Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, 260, 441–451.
  • V. Bellandi et al., 2021. Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People, 2021 IEEE International Conference on Digital Health (ICDH), 2021, pp. 166-171, doi:10.1109/ICDH52753.2021.00030;
  • Danilatou V. et al., 2021. Automated machine learning algorithms in prediction of intensive care unit readmission of patients with thrombosis. 32nd Congress of the Hellenic Society of Haematology, November 11-14, 2021, Athens;
  • 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;
  • 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;
  • 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;
  • 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;
  • 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;
  • Hatzivasilis G. et al., 2021. The Green Blockchains of Circular Economy. Electronics. 2021; 10(16):2008, DOI: 10.3390/electronics10162008;
  • 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;
  • Papoutsakis M. et al., 2021. Towards a Collection of Security and Privacy Patterns. Applied Sciences. 2021; 11(4):1396, DOI: 10.3390/app11041396;
  • Hatzivasilis G. et al., 2021. SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems. Electronics. 2021; 10(1):92, DOI: 10.3390/electronics10010092;
  • 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;
  • Deyannis et al., 2021. Andromeda: Enabling Secure Enclaves for the Android Ecosystem. In International Conference on Information Security (pp. 195-217). Springer, Cham;
  • Smyrlis M. et al., 2021. CYRA: A Model-Driven CYber Range Assurance Platform. Appl. Sci. 2021, 11(11), 5165. DOI: 10.3390/app11115165;

2020 (11)

  • Danilatou et al., 2020. Automated mortality prediction in critically-ill patients with thrombosis using machine learning. 31st Panhellenic Hematology Congress, Athens 2020;
  • Danilatou et al., 2020. Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020, pp. 247-254, DOI: 10.1109/BIBE50027.2020.00048;
  • Hatzivasilis et al. 2020. Cyber-Ranges as a Means of Security Culture Establishment, in “ERCIM News, the quarterly magazine of the European Research Consortium for Informatics and Mathematics”, ERCIM 121, Special theme: The Climate Action: Mathematics, Informatics and Socio-Economics Accelerating the Sustainability, Apr. 2020;
  • Pateraki et al., 2020. Chapter 2 – Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities, Ed. Nilanjan Dey, Amira S. Ashour, Simon James Fong, Chintan Bhatt, In Advances in ubiquitous sensing applications for healthcare, Wearable and Implantable Medical Devices, Academic Press, Volume 7, 2020, Pages 25-53, ISBN 9780128153697, DOI: 10.1016/B978-0-12-815369-7.00002-1;
  • Papoutsakis et al., 2020. A Pattern-Driven Adaptation in IoT Orchestrations to Guarantee SPDI Properties, 2nd Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Guildford, UK, 17 Sept. 2020;
  • Smyrlis et al., 2020. Cyber Range Training Programme Specification Through Cyber Threat and Training Preparation Models, 2nd Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Guildford, UK, 17 Sept. 2020;
  • Miaoudakis et al., 2020. Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of “Looping Smart Assets”, in IEEE Vehicular Technology Magazine, vol. 15, no. 3, pp. 20-31, Sept. 2020, DOI: 10.1109/MVT.2020.2991788;
  • Bröring et al., 2020. Networking-Aware IoT Application Development, Sensors. 2020; 20(3):897, DOI: 10.3390/s20030897;
  • Saunders et al., 2020. Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing. Ear and Hearing. 2020 Jan, DOI: 10.1097/aud.0000000000000850;
  • Hatzivasilis G. et al., 2020. MobileTrust: Secure Knowledge Integration in VANETs. ACM Transactions on Cyber-Physical Systems, 4 (3), 33;
  • Pateraki et al., 2020. Chapter 2 – Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities, In Advances in ubiquitous sensing applications for healthcare, Wearable and Implantable Medical Devices, Academic Press, Volume 7, 2020, Pages 25-53, ISBN 9780128153697, DOI: 10.1016/B978-0-12-815369-7.00002-1;

2019 (14)

  • Petroulakis et al., 2019. Smart End-to-end Massive IoT Interoperability, Connectivity and Security (SEMIoTICS), ERCIM News 119, Special Theme: Smart Things Everywhere;
  • Petroulakis et al., 2019. Service Chaining Using Software-Defined Networks. In Wiley 5G Ref (eds R. Tafazolli, C.-L. Wang and P. Chatzimisios), DOI: 10.1002/9781119471509.w5GRef101;
  • Hatzivasilis et al., 2019. The CE-IoT Framework for Green ICT Organizations: The interplay of CE-IoT as an enabler for green innovation and e-waste management in ICT, 1st International Workshop on Smart Circular Economy (SmaCE’19), Santorini, Hellas, May 30, 2019;
  • Soultatos et al., 2019. The THREAT-ARREST Cyber-Security Training Platform, 1st Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Luxembourg, Sept. 27, 2019;
  • Soultatos et al., 2019. Pattern-driven Security, Privacy, Dependability and Interoperability management of IoT environments, 24th IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD 2019), Limassol, Cyprus, Sept. 11-13, 2019;
  • Soultatos et al., 2019. “Pattern-Driven Security, Privacy, Dependability and Interoperability Management of IoT Environments,” 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2019, pp. 1-6, doi: 10.1109/CAMAD.2019.8858429.
  • Petroulakis et al., 2019. SEMIoTICS Architectural Framework: End-to-end Security, Connectivity and Interoperability for Industrial IoT, Global IoT Summit 2019 (GIoTS’19), Aarhus, Denmark, June 17-21, 2019;
  • Somarakis et al., 2019. Model-driven Cyber Range Training – A Cyber Security Assurance Perspective, 1st Model-Driven Simulation and Training Environments for Cybersecurity (MSTEC), co-located with the European Symposium on Research in Computer Security (ESORICS), Luxembourg, Sept. 27, 2019;
  • Somarakis et al., 2019. In: Fournaris A. et al. (eds) Computer Security. IOSEC 2019, MSTEC 2019, FINSEC 2019. Lecture Notes in Computer Science, vol 11981. Springer, Cham, DOI: 10.1007/978-3-030-42051-2_12;
  • Hatzivasilis et al., 2019. WARDOG: Awareness detection watchbog for Botnet infection on the host device, Transactions on Sustainable Computing, 2019;
  • Christensen et al., 2019. Fully Synthetic Longitudinal Real-World Data from Hearing Aid Wearers for Public Health Policy Modelling, Frontiers in Neuroscience, Vol. 13, August 2019, DOI=10.3389/fnins.2019.00850, ISSN=1662-453X, 2019;
  • Fysarakis K. et al., 2019. Towards IoT Orchestrations with Security, Privacy, Dependability and Interoperability Guarantees, IEEE Global Communications Conference 2019 (Globecom 2019), Hawaii, USA December 2019;
  • Hatzivasilis et al., 2019. Secure Semantic Interoperability for IoT Applications with Linked Data, IEEE Global Communications Conference 2019 (Globecom 2019), Hawaii, USA, December 2019;
  • Fysarakis et al., 2019. Architectural Patterns for Secure IoT Orchestrations, 2019 Global IoT Summit, IEEE, June 2019, Aarchus, Denmark;

2018 (8)

  • Hatzivasilis G. et al., 2018. The Industrial Internet of Things as an enabler for a Circular Economy; Hy-LP: A novel IIoT Protocol, evaluated on a Wind Park’s SDN/NFV-enabled 5G Industrial Network, Computer Communications Journal, Elsevier, DOI:10.1016/j.comcom.2018.02.0079;
  • Ferrera E. et al., 2018. IoT European Security and Privacy Projects: Integration, Architectures and Interoperability, Next Generation Internet of Things. Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation, 2018, 207-292;
  • Petroulakis et al., 2018. A Reactive Security Framework for SDN/NFV-enabled Industrial Networks Using Service Function Chaining, Transactions on Emerging Telecommunication Technologies, 2018, DOI: 10.1002/ett.3269;
  • Ardagna et al., 2018. Big Data Assurance Evaluation: An SLA-based approach, 2018 IEEE International Conference on Services Computing, Proceedings of, San Francisco, CA, USA, July 2018;
  • Mantzoukas et al., 2018. Monitoring Data Integrity in Big Data Analytics Services, Proceedings of the 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), Proceedings of, San Francisco, CA, USA, July 2018;
  • Ye B. et al., 2018. A Big Data Repository and Architecture for Managing Hearing Loss Related Data, IEEE Conference on Biomedical and Health Informatics (BHI’18), Las Vegas, NV, USA, March 2018, DOI: 10.1109/BHI.2018.8333397;
  • Soultatos O. et al., 2018. Towards a Security, Privacy, Dependability, Interoperability Framework for the Internet of Things, 2018 IEEE 23rd International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Barcelona, Spain, Sep 2018;
  • Hatzivasilis G. et al., 2018. The Interoperability of Things: Interoperable solutions as an enabler for IoT and Web 3.0, 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Barcelona, Spain, Sep 2018;

2017 (11)

  • Fysarakis K. (ed.), 2017. Slicing / Virtualisation and Strong Isolation, in “5G-PPP Phase 1 Security Landscape White Paper”, 5G-PPP Security Working Group, June 2017;
  • Koloutsou et al., 2017. Speech audiometry test with picture-related sentence lists in Modern Greek for partially hearing children, Journal of Hearing, Balance and Communication, doi: 10.1080/21695717.2017.1389176, Oct 2017;
  • Tietz et al., 2017. Associations between hearing performance and physiological measures – an overview and outlook, Studies in Studies in Health Technology and Informatics, 100-104, July 2017;
  • Pino et al., 2017. Pattern-Based Design and Verification of Secure Service Compositions, IEEE Transactions on Services Computing, April 2017, DOI: 10.1109/TSC.2017.2690430, (SJR: 1.2);
  • Anisetti et al., 2017. Towards Transparent and Trustworthy Cloud, IEEE Cloud Computing 4(3):40-48, January 2017, DOI: 10.1109/MCC.2017.51.
  • Krotsiani et al., 2017. Cloud Certification Process Validation using Formal Methods, 15th International Conference on Service Oriented Computing (ICSOC 2017), LNCS, Malaga, Spain, 15-17 November 2017;
  • Petroulakis et al., 2017. Fault Tolerance Using an SDN Pattern Framework, IEEE Global Communications Conference 2017 (Globecom 2017), Singapore, December 2017;
  • Krotsiani et al., 2017. Validation of Service Level Agreements using Probabilistic Model Checking, 14th IEEE International Conference on Services Computing (SCC 2017), Hawai, USA, July 2017;
  • Fysarakis et al., 2017. A Reactive Security Framework for Operational Wind Parks Using Service Function Chaining, 22th IEEE Symposium on Computers and Communications, June 2017;
  • Prasinos et al., 2017. Towards a Model-Driven Platform for Evidence based Public Health Policy Making, 2017 International Conference on Software Engineering and Knowledge Engineering (SEKE 2017), Pittsburgh, USA, July 2017.
  • Spanoudakis et al., 2017. Public health policy for management of hearing impairments based on big data analytics: EVOTION at Genesis. Paper presented at the 17th IEEE International Bio-Informatics and Bio-Engineering Conference, 23-25 Oct 2017, Washington, D.C., USA.

2016 (5)

  • Trenkova et al., 2016. Supporting Decisions in Public Health Policy Making – EVOTION, 3rd Annual International Conference on Data for Policy 2017: Government By Algorithm?, London, UK, September 2017
  • Petroulakis et al., 2016. Patterns for the Design of Secure and Dependable SDN, Computer Networks Journal, Elsevier, Vol 109: Part 1, pages 39 – 49, November 2016.
  • Exarchos et al., 2016. Mining Balance Disorders’ data for the development of Diagnostic Decision Support Systems, Computers in Biology and Medicine, Vol 77(1): 240 – 248, October 2016.
  • Anisetti et al., 2016. Security Certification for the Cloud: The CUMULUS approach, In Guide to Security Assurance for Cloud Computing, (eds) Zhu S.Y., Hill R., Trovatti M., Computer Communications and Networks Series, Springer International Publishing, ISBN: 978-3-319-25986-4, DOI: 10.1007/978-3-319-25988-8, 2016.
  • Exarchos et al., 2016. Multiparametric data analysis for diagnostic decision support in balance disorders, IEEE International Conference on Biomedical and Health Informatics (BHI), USA, 2016.