SECURITY PROTECTION TOOLS FOR NETWORKED MEDICAL DEVICES

Informazioni relative al progetto

SEPTON

ID dell’accordo di sovvenzione: 101094901

DOI

10.3030/101094901

Progetto chiuso

Data della firma CE 22 Novembre 2022

Data di avvio 1 Dicembre 2022

Data di completamento 30 Novembre 2025

Finanziato da

• Health

Costo totale

€ 4 897 778,75

Contributo UE

€ 4 897 778,50

Coordinato da

SPACE HELLAS ANONYMI ETAIREIA SYSTIMATA KAI YPIRESIES TILEPIKOINONIONPLIROFORIKIS ASFALEIAS - IDIOTIKI EPICHEIRISI PAROCHIS YPERISION ASFA
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (7)

Project management handbook

Project managementhandbook

Legal and ethics framework -second edition

Legal and ethics framework ( second editions)

SEPTON dissemination material -first edition
Dissemination plan and communication activities report -first edition

Dissemination plan and communication activities report -first edition

SEPTON dissemination material -second edition
Updated Data Management Plan

Update Data Management Plan

Data management plan

Pubblicazioni

Peer reviewed articles (9)

Fear of Missing Out: Constrained Trial of Blockchain in Supply Chain

Autori: Roland Kromes, Tianyu Li, Maxime Bouillon, Talha Enes Güler, Victor van der Hulst, Zekeriya Erkin
Pubblicato in: MDPI Sensor, 2024, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/S24030986

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

Autori: Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Pubblicato in: Neuromodulation: Technology at the Neural Interface, ISSN 1525-1403
Editore: Elsevier
DOI: 10.1016/J.NEUROM.2024.01.003

Quantum neural networks meet federated learning for DNA mutation prediction

Autori: Sotirios Messinis, Ioannis Rallis, Nikolaos Temenos, Dimitrios Kalogeras, George A. Kastis, Nikolaos Doulamis, Nicholas E. Protonotarios
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 30, 2026, ISSN 2001-0370
Editore: Elsevier BV
DOI: 10.1016/J.CSBJ.2025.09.036

Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks

Autori: Sotirios C. Messinis, Nicholas E. Protonotarios, Nikolaos Doulamis
Pubblicato in: Sensors, Numero 24, 2025, ISSN 1424-8220
Editore: MDPI AG
DOI: 10.3390/S24165142

Frontiers in Neuroinformatics

Autori: R. Miedema and C. Strydis
Pubblicato in: Frontiers in Neuroinformatics, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/FNINF.2024.1330875

Neurocomputing

Autori: Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis
Pubblicato in: Neurocomputing, ISSN 0925-2312
Editore: Elsevier
DOI: 10.1016/J.NEUCOM.2024.127953

Decoupling model descriptions from execution: a modular paradigm for extensible neurosimulation with EDEN

Autori: Sotirios Panagiotou, Rene Miedema, Dimitrios Soudris, Christos Strydis
Pubblicato in: Frontiers in Neuroinformatics, Numero 19, 2025, ISSN 1662-5196
Editore: Frontiers Media SA
DOI: 10.3389/FNINF.2025.1572782

SHAP Interpretations of Tree and Neural Network DNS Classifiers for Analyzing DGA Family Characteristics

Autori: Nikos Kostopoulos; Dimitris Kalogeras; Dimitris Pantazatos; Maria Grammatikou; Vasilis Maglaris
Pubblicato in: IEEE Access, Vol 11, Pp 61144-61160 (2023), 2023, ISSN 2169-3536
Editore: IEEE Access
DOI: 10.1109/access.2023.3286313

Computers in Biology and Medicine

Autori: S. Messinis, N. Temenos, N. E. Protonotarios, I. Rallis, D. Kalogeras, and N. Doulamis,
Pubblicato in: Computers in Biology and Medicine, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/J.COMPBIOMED.2024.108036

Book chapters (2)

MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward

Autori: 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
Pubblicato in: Communications in Computer and Information Science, Cybersecurity, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94855-8_22

Threshold Multiparty Private Set Intersection via Federated Graph Neural Networks

Autori: Sotirios Messinis, Nicholas E. Protonotarios, Dimitris Kalogeras, Nikolaos Doulamis
Pubblicato in: Communications in Computer and Information Science, Cybersecurity, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94855-8_23

Conference proceedings (28)

A Way Forward for the MDCG 2019-16 Medical Device Security Guidance

Autori: Taylor, S., Gilje Jaatun, M., Bernsmed, K., Androutsos, C., Frey, D., Favrin, S., ... & Katzis, K.
Pubblicato in: PETRA 2024 CYMED
Editore: ACM
DOI: 10.1145/3652037.3663894

Memristor-Based Lightweight Encryption

Autori: Muhammad Ali Siddiqi, Jan Andres Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, Mottaqiallah Taouil
Pubblicato in: DSD 2023
Editore: IEEE
DOI: 10.1109/DSD60849.2023.00092

Privacy-Preserving Data Aggregation with Public Verifiability Against Internal Adversaries

Autori: Palazzo M., Dekker F.W., Brighente A., Conti M., Erkin Z.
Pubblicato in: 33rd USENIX Security Symposium
Editore: USENIX Association

Synthetic Data Generation and Impact Analysisof Machine Learning Models for Enhanced Credit Card Fraud Detection

Autori: Shareeful Islam, Spyros Papastergiou
Pubblicato in: Springer - International Conference on Artificial Intelligence Applications andInnovations(AIAI), ISSN 2193-1801
Editore: Springer Science and Business Media Deutschland GmbH

Randomized Response and Differential Privacy

Autori: ANDREAS IOANNIDIS ,ANTONIOS LITKE, and NIKOLAOS K. PAPADAKIS
Pubblicato in: PETRA 2024 CYMED, 2024
Editore: ACM
DOI: 10.1145/3652037.3663902

Dataset Watermarking Using the Discrete Wavelet Transform

Autori: M.P. Raave, D. Isler, Z. Erkin
Pubblicato in: SECRYP
Editore: SCITEPRESS

Demo - MedGuard: Securing Medical IoT with compiler polymorphism

Autori: Dimitris Santorinaios, Michail Alexandros Kourtis, Anna Santorinaiou, George Oikonomakis
Pubblicato in: 2024 IEEE International Workshop on Information Forensics and Security (WIFS), 2024
Editore: IEEE
DOI: 10.1109/WIFS61860.2024.10810710

Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework

Autori: Shareeful Islam, Spyros Papastergiou
Pubblicato in: Springer - International Conference on Artificial Intelligence Applications and Innovations(AIAI), ISSN 2193-1801
Editore: Springer Science and Business Media Deutschland GmbH

Topology-Based Reconstruction Prevention for Decentralised Learning

Autori: F. W. Dekker, Z. Erkin, M. Conti
Pubblicato in: The 25th Privacy Enhancing Technologies Symposium
Editore: PETs
DOI: 10.48550/ARXIV.2312.05248

Demo: MedTech Chain 2.0 Integration of Homomorphic Encryption into a Decentralized Platform for Medical Device Data Research

Autori: Yavor Pachedzhiev, Andaç Durmaz , Ege Yarar, Ivan Markov, Sinan Önen, Roland Kromes and Zekeriya Erkin
Pubblicato in: IEEE 7th Conference on Blockchain Research & Applications for Innovative Networks and Service
Editore: IEEE

Extending Null Embedding for Deep Neural Network (DNN) Watermarking

Autori: K. Altınay, D. Isler, Z. Erkin
Pubblicato in: SECRYP
Editore: SCITEPRESS

Demo: Gryphon Digital Identity Management System with Hyperledger Fabric, Compatible with Decentralized Identifiers and Verifiable Credentials

Autori: Alessandro Neri, Iulian Onea, Matei Pânzariu, Mihai Frânculescu, Roland Kromes and Zekeriya Erkin
Pubblicato in: IEEE 7th Conference on Blockchain Research & Applications for Innovative Networks and Service
Editore: IEEE

SEPTON Toolkit application: An overview of the security techniques used from wearable medical devices to physician’s healthcare platform.

Autori: BAKIRIS EMMANOUIL,VICTORIA KATSAROU,NIKOS PAPADAKIS, NIKOLAOS ALAMPASIS
Pubblicato in: PETRA 2024 CYMED
Editore: ACM

Collective Threshold Multiparty Private Set Intersection Protocols for Cyber Threat Intelligence.

Autori: C. Guan, Z. Erkin
Pubblicato in: 16th IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) 2024
Editore: IEEE

Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC

Autori: J.L.F. Betting, C.I. De Zeeuw, C. Strydis
Pubblicato in: 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2024
Editore: IEEE
DOI: 10.1109/HIPC58850.2023.00044

NetPacketformer: Real-Time, Context-Aware Network Intrusion Detection with Transformers

Autori: Armando Domi, Christos Zonios, Giorgos Tatsis, Anastasios Drosou, Dimitrios Tzovaras
Pubblicato in: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Editore: IEEE
DOI: 10.1109/CSR64739.2025.11130136

A lightweight architecture for real-time neuronal-spike classification

Autori: Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
Pubblicato in: 21st ACM International Conference on Computing Frontiers (CF'24), ISSN 1551-7616
Editore: ACM

Design and Implementation of Health Tracking and Monitoring System Based on IoMT technology supported by secure firmware data logging storage and wireless communication.

Autori: Victoria Katsarou, Nick Alampasis, Nikos Papadakis, Emmanοuil Bakiris
Pubblicato in: PETRA 2024 DEMO, 2024
Editore: ACM

Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases

Autori: S. Messinis, N. E. Protonotarios, I.Tzortzis, I. Rallis, D. Kalogeras, and N. Doulamis,
Pubblicato in: PETRA 2023, 2023
DOI: 10.1145/3594806.3596562

HUMA: Heterogeneous, Ultra Low-Latency Model Accelerator for The Virtual Brain on a Versal Adaptive SoC

Autori: Amirreza Movahedin, Lennart P. L. Landsmeer, Christos Strydis
Pubblicato in: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025
Editore: ACM
DOI: 10.1145/3706628.3708875

Enhancing Federated Graph Learning with Adaptive Differential Privacy

Autori: Sotirios Messinis, Nicholas E. Protonotarios, Ioannis Rallis, Dimitrios Kalogeras, Nikolaos Doulamis
Pubblicato in: 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2025
Editore: IEEE
DOI: 10.1109/ICDCSW63273.2025.00103

MedTech Chain Demo: Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research^*

Autori: Alin Petru-Rosu, Tamara Tataru, Jegor Zelenjak, Roland Kromes, Zekeriya Erkin
Pubblicato in: 2024 6th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2024
Editore: IEEE
DOI: 10.1109/BRAINS63024.2024.10732467

Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary & Multi-class Classification in Network Traffic Data

Autori: EMMANOUIL ARAPIDIS∗NIKOS TEMENOS, DIMITRIS GIAGKOS, IOANNIS K. RALLIS, DIMITRIS KALOGERAS, NIKOLAOS PAPADAKIS, ANTONIS LITKE, SOTIRIS MESSINIS
Pubblicato in: PETRA 2024 CYMED
Editore: ACM
DOI: 10.1145/3652037.3663908

Auditable Medical Data Sharing through Recoverable Key Agreement

Autori: van Assen J., Kromes R., Erkin Z.
Pubblicato in: IEEE 6th Conference on Blockchain Research & Applications for Innovative Networks and Services
Editore: IEEE

Completely FROST-ed: IoT issued FROST signature for Hyperledger Fabric blockchain

Autori: Mostafa Khattat, Roland Kromes
Pubblicato in: IEEE International Conference on Blockchain and Cryptocurrency 2024
Editore: IEEE

IoT-Driven Security Solutions for Resource-Constrained Wearable Medical Devices

Autori: Emmanouil Bakiris, George Oikonomakis
Pubblicato in: EICC 2025
Editore: SPRINGER
DOI: 10.1007/978-3-031-94855-8_18

Client Selection and Resource Allocation via Graph Neural Networks for Efficient Federated Learning in Healthcare Environments.

Autori: C. Messinis, S., Ε. Protonotarios, N., Arapidis, E., & Doulamis, N
Pubblicato in: PETRA 2024 CYMED, 2024
Editore: ACM
DOI: 10.1145/3652037.3663906

Towards Enhanced Data Integrity and Accountability: Leveraging Blockchain Technology in Healthcare

Autori: ATHANASIOS KOULIANOS, PANAGIOTIS PARASKEVOPOULOS, ANTONIOS LITKE, and NIKOLAOS K. PAPADAKIS
Pubblicato in: PETRA 2024 CYMED
Editore: ACM