SECURITY PROTECTION TOOLS FOR NETWORKED MEDICAL DEVICES

HealthHORIZON-RIAID: 101094901
EC Contribution
€48,978
Consortium Size
10 orgs
Start Year
2022
Summary

SEPTON aims to address the gap in the generic technologies and processes referring to the IT network infrastructure with a holistic approach towards reinforcing NMD security within the healthcare centre premises. The project will advance cutting-edge solutions in healthcare cybersecurity targeting the aforementioned health providers and particularly focusing on networked medical devices (NMDs). The SEPTON approach will result in a comprehensive cybersecurity toolkit providing tools and mechanisms to be used in hospitals and care centres for a) the protection of networked medical devices, including wearable and implantable devices, and using techniques such as polymorphism b) the secure and privacy preserving data exchanges between NMDs, utilising techniques such as blockchain, differential privacy and encryption c) behavioural anomaly detection, utilising a cybersecurity analytics framework coupled with machine learning techniques and hardware acceleration for increased performance and d) NMD vulnerability assessment. The usability of the proposed solutions will be tested in a realistic setup via extensive pilot trials, facilitated by the participation of two healthcare organisations

Consortium (10)

Project Results (47)

Source: CORDIS, the EU research results database.

Publications (39)
Quantum neural networks meet federated learning for DNA mutation prediction
Computational and Structural Biotechnology Journal· 2026DOI
Sotirios Messinis, Ioannis Rallis, Nikolaos Temenos, Dimitrios Kalogeras, George A. Kastis, Nikolaos Doulamis, Nicholas E. Protonotarios
Decoupling model descriptions from execution: a modular paradigm for extensible neurosimulation with EDEN
Frontiers in Neuroinformatics· 2025DOI
Sotirios Panagiotou, Rene Miedema, Dimitrios Soudris, Christos Strydis
Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks
Sensors· 2025DOI
Sotirios C. Messinis, Nicholas E. Protonotarios, Nikolaos Doulamis
Enhancing Federated Graph Learning with Adaptive Differential Privacy
2025 IEEE 45th International Conference on Distributed Computing Systems Workshops (ICDCSW)· 2025DOI
Sotirios Messinis, Nicholas E. Protonotarios, Ioannis Rallis, Dimitrios Kalogeras, Nikolaos Doulamis
HUMA: Heterogeneous, Ultra Low-Latency Model Accelerator for The Virtual Brain on a Versal Adaptive SoC
Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays· 2025DOI
Amirreza Movahedin, Lennart P. L. Landsmeer, Christos Strydis
MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward
Communications in Computer and Information Science, Cybersecurity· 2025DOI
Christos Androutsos, Steve Taylor, Karin Bernsmed, Andrea Neverdal Skytterholm, Gregory Epiphaniou, Nabil Moukafih, Theodoros N. Arvanitis, Sotiris Messinis, Nikos Papadakis, Marco Fruscione, Andrés Castillo, Dusko Milojevic, Dimitrios S. Karas, Nikolaos Fotos, Max Ostermann, Oscar Freyer, Stephen Gilbert, Vasilis Pezoulas, Lambros Athanasiou, George Gkois, Dimitrios I. Fotiadis
NetPacketformer: Real-Time, Context-Aware Network Intrusion Detection with Transformers
2025 IEEE International Conference on Cyber Security and Resilience (CSR)· 2025DOI
Armando Domi, Christos Zonios, Giorgos Tatsis, Anastasios Drosou, Dimitrios Tzovaras
Threshold Multiparty Private Set Intersection via Federated Graph Neural Networks
Communications in Computer and Information Science, Cybersecurity· 2025DOI
Sotirios Messinis, Nicholas E. Protonotarios, Dimitris Kalogeras, Nikolaos Doulamis
Client Selection and Resource Allocation via Graph Neural Networks for Efficient Federated Learning in Healthcare Environments.
PETRA 2024 CYMED· 2024DOI
C. Messinis, S., Ε. Protonotarios, N., Arapidis, E., & Doulamis, N
Demo - MedGuard: Securing Medical IoT with compiler polymorphism
2024 IEEE International Workshop on Information Forensics and Security (WIFS)· 2024DOI
Dimitris Santorinaios, Michail Alexandros Kourtis, Anna Santorinaiou, George Oikonomakis
Design and Implementation of Health Tracking and Monitoring System Based on IoMT technology supported by secure firmware data logging storage and wireless communication.
PETRA 2024 DEMO· 2024
Victoria Katsarou, Nick Alampasis, Nikos Papadakis, Emmanοuil Bakiris
Fear of Missing Out: Constrained Trial of Blockchain in Supply Chain
MDPI Sensor· 2024DOI
Roland Kromes, Tianyu Li, Maxime Bouillon, Talha Enes Güler, Victor van der Hulst, Zekeriya Erkin
MedTech Chain Demo: Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research<sup>*</sup>
2024 6th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)· 2024DOI
Alin Petru-Rosu, Tamara Tataru, Jegor Zelenjak, Roland Kromes, Zekeriya Erkin
Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC
2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC)· 2024DOI
J.L.F. Betting, C.I. De Zeeuw, C. Strydis
Randomized Response and Differential Privacy
PETRA 2024 CYMED· 2024DOI
ANDREAS IOANNIDIS ,ANTONIOS LITKE, and NIKOLAOS K. PAPADAKIS
Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases
PETRA 2023· 2023DOI
S. Messinis, N. E. Protonotarios, I.Tzortzis, I. Rallis, D. Kalogeras, and N. Doulamis,
SHAP Interpretations of Tree and Neural Network DNS Classifiers for Analyzing DGA Family Characteristics
IEEE Access, Vol 11, Pp 61144-61160 (2023)· 2023DOI
Nikos Kostopoulos; Dimitris Kalogeras; Dimitris Pantazatos; Maria Grammatikou; Vasilis Maglaris
A lightweight architecture for real-time neuronal-spike classification
21st ACM International Conference on Computing Frontiers (CF'24)
Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
A Way Forward for the MDCG 2019-16 Medical Device Security Guidance
PETRA 2024 CYMEDDOI
Taylor, S., Gilje Jaatun, M., Bernsmed, K., Androutsos, C., Frey, D., Favrin, S., ... & Katzis, K.
Auditable Medical Data Sharing through Recoverable Key Agreement
IEEE 6th Conference on Blockchain Research & Applications for Innovative Networks and Services
van Assen J., Kromes R., Erkin Z.
Collective Threshold Multiparty Private Set Intersection Protocols for Cyber Threat Intelligence.
16th IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) 2024
C. Guan, Z. Erkin
Completely FROST-ed: IoT issued FROST signature for Hyperledger Fabric blockchain
IEEE International Conference on Blockchain and Cryptocurrency 2024
Mostafa Khattat, Roland Kromes
Computers in Biology and Medicine
Computers in Biology and MedicineDOI
S. Messinis, N. Temenos, N. E. Protonotarios, I. Rallis, D. Kalogeras, and N. Doulamis,
Dataset Watermarking Using the Discrete Wavelet Transform
SECRYP
M.P. Raave, D. Isler, Z. Erkin
Demo: Gryphon Digital Identity Management System with Hyperledger Fabric, Compatible with Decentralized Identifiers and Verifiable Credentials
IEEE 7th Conference on Blockchain Research & Applications for Innovative Networks and Service
Alessandro Neri, Iulian Onea, Matei Pânzariu, Mihai Frânculescu, Roland Kromes and Zekeriya Erkin
Demo: MedTech Chain 2.0 Integration of Homomorphic Encryption into a Decentralized Platform for Medical Device Data Research
IEEE 7th Conference on Blockchain Research & Applications for Innovative Networks and Service
Yavor Pachedzhiev, Andaç Durmaz , Ege Yarar, Ivan Markov, Sinan Önen, Roland Kromes and Zekeriya Erkin
Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework
Springer - International Conference on Artificial Intelligence Applications and Innovations(AIAI)
Shareeful Islam, Spyros Papastergiou
Extending Null Embedding for Deep Neural Network (DNN) Watermarking
SECRYP
K. Altınay, D. Isler, Z. Erkin
Frontiers in Neuroinformatics
Frontiers in NeuroinformaticsDOI
R. Miedema and C. Strydis
IoT-Driven Security Solutions for Resource-Constrained Wearable Medical Devices
EICC 2025DOI
Emmanouil Bakiris, George Oikonomakis
Memristor-Based Lightweight Encryption
DSD 2023DOI
Muhammad Ali Siddiqi, Jan Andres Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, Mottaqiallah Taouil
Neurocomputing
NeurocomputingDOI
Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis
NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?
Neuromodulation: Technology at the Neural InterfaceDOI
Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Privacy-Preserving Data Aggregation with Public Verifiability Against Internal Adversaries
33rd USENIX Security Symposium
Palazzo M., Dekker F.W., Brighente A., Conti M., Erkin Z.
SEPTON Toolkit application: An overview of the security techniques used from wearable medical devices to physician’s healthcare platform.
PETRA 2024 CYMED
BAKIRIS EMMANOUIL,VICTORIA KATSAROU,NIKOS PAPADAKIS, NIKOLAOS ALAMPASIS
Synthetic Data Generation and Impact Analysisof Machine Learning Models for Enhanced Credit Card Fraud Detection
Springer - International Conference on Artificial Intelligence Applications andInnovations(AIAI)
Shareeful Islam, Spyros Papastergiou
Topology-Based Reconstruction Prevention for Decentralised Learning
The 25th Privacy Enhancing Technologies SymposiumDOI
F. W. Dekker, Z. Erkin, M. Conti
Towards Enhanced Data Integrity and Accountability: Leveraging Blockchain Technology in Healthcare
PETRA 2024 CYMED
ATHANASIOS KOULIANOS, PANAGIOTIS PARASKEVOPOULOS, ANTONIOS LITKE, and NIKOLAOS K. PAPADAKIS
Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary & Multi-class Classification in Network Traffic Data
PETRA 2024 CYMEDDOI
EMMANOUIL ARAPIDIS∗NIKOS TEMENOS, DIMITRIS GIAGKOS, IOANNIS K. RALLIS, DIMITRIS KALOGERAS, NIKOLAOS PAPADAKIS, ANTONIS LITKE, SOTIRIS MESSINIS
Deliverables (7)
Other Results (1)
Periodic Reporting for period 1 - SEPTON (SECURITY PROTECTION TOOLS FOR NETWORKED MEDICAL DEVICES)