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CORDIS - Forschungsergebnisse der EU
CORDIS

A Cognitive Detection System for Cybersecure Operational Technologies

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Dissemination, Communication and exploitation strategy Plan (öffnet in neuem Fenster)

This deliverable will provide publicly available project information including an introduction to the project and objectives the partners involved the expected results and the impact the results will have on the targeted industries It will also include an initial exploitation planning to drive the dissemination and communication activitiesLinked to T81 and T83

Overview of existing standards and ongoing standardization activities in the field of cybersecurity (öffnet in neuem Fenster)

Report including the baseline for the standardization activities Linked to T82

Report on cyber threats and responses in OT (öffnet in neuem Fenster)

Definition of the general problem in ICT chains Report on cyber threats and responses in OT This report will cover the assets and actors from the D11 use cases and take into account threats which we preliminary defined in D11 Refinement will take place and focus on threats to the OT side of the use cases Various incident databases will be analysed as well as ICS vulnerabilities covered Linked to T12

Resilience actions supporting systems (öffnet in neuem Fenster)

Resilience Actions Support SystemsLinked to T5.1

Use case scenarios and risk analysis (öffnet in neuem Fenster)

Definition of particular problems in ICT chains Report on use case scenarios and risk analysis it will cover the use cases in a standardized format focus on serialization as well as functional and nonfunctional requirements Besides a misuse case section will be added which focuses on unintentional behaviour and possible risks and mitigation plans Linked to T11

Initial version of the synthetic datasets for cyber intelligence and using fair ML (öffnet in neuem Fenster)

Synthetic datasets for cyber intelligence and using fair Machine Learning; Linked to T6.1

Report on dissemination actions and plan M1-M18 (öffnet in neuem Fenster)

Periodic reports on dissemination and communication activitiesLinked to T81

Audit information (öffnet in neuem Fenster)

Report about audit and traceable information required for trust in the supply chain and certificationLinked to T21

Report on Distributed Ledger Solution (öffnet in neuem Fenster)

DirectedAcyclicGraphSystem for traceability in the use casesLinked to T23

Results of the tools validation and benchmarking (öffnet in neuem Fenster)

The assessment of the implementation, benchmarking plan and main results.Linked to T7.4

Architecture and data sources (öffnet in neuem Fenster)

Report on 1 the description of the architecture of the dynamic threat discovery system including interfaces for interoperability 2 the description of a generic threat source with the corresponding set of entry points and the set of instances associated to private and public sources of threats 3 the mechanism to incorporate several new threat sources And 4 the formats of all threat information sources and pieces of evidence to be compatible with IEC 62443Linked to T31

Report on data analysis and visualization methods (öffnet in neuem Fenster)

Report on data analysis and visualization methods: This deliverable will present developed methods for data analysis and visualization.Linked to T4.3

Set-up architecture for data collection (öffnet in neuem Fenster)

Documentation and data of the SESA Lab assets to be used in context distributed simulation and testing environments and access for the partners for AMORALinked to T22

Report on IDUNN requirements (öffnet in neuem Fenster)

Definition of the general solution in ICT chains Report on the functional design of the envisioned toolsLinked to T13

Final version of the synthetic datasets for cyber intelligence using fair Machine Learning (öffnet in neuem Fenster)

The second version of D6.2 that will provide documentation that will allow the research community to access the open research data stored in the IDA service. IDA is a continuous research data storage service provided by the Finnish Ministry of Education and Culture. This is a safe and secure data storage and will minimise the risk of data misuse.Linked to T6.1

AI-driven Search Engine API for dark, deep and clear web (öffnet in neuem Fenster)

AI-driven Search Engine API for dark, deep and clear web.Linked to T4.2

Configuration data and non-domain related testing in Gazelle for AMORA (öffnet in neuem Fenster)

Testing profiles and specifications from the demos to be used in the AMORA context Linked to T24

Report on dissemination actions and plan M19-M36 (öffnet in neuem Fenster)

Report on dissemination actions and plan M19-M36Linked to T8.1

IDUNN project Online/Digital Presence (öffnet in neuem Fenster)

Webrelated presence such as Twitter page and LinkedIn project page Linked to T81

Veröffentlichungen

TSTEM: A Cognitive Platform for Collecting Cyber Threat Intelligencein the Wild (öffnet in neuem Fenster)

Autoren: Prasasthy Balasubramaniana, Sadaf Nazaria, Danial Khosh Kholgha, Alireza Mahmoodia, Justin Sebya and Panos Kostakos
Veröffentlicht in: Computer Science > Cryptography and Security, 2024, ISSN 2331-8422
Herausgeber: Cornelll University
DOI: 10.48550/arxiv.2402.09973

Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel Users (öffnet in neuem Fenster)

Autoren: Mikko Korkiakoski; Paula Alavesa; Panos Kostakos
Veröffentlicht in: IEEE Explore, 2024, ISSN 1558-2590
Herausgeber: IEEE Explore
DOI: 10.1109/mprv.2024.3364541

Safeguarding cyberspace: Enhancing malicious website detection with PSOsingle bondoptimized XGBoost and firefly-based feature selection (öffnet in neuem Fenster)

Autoren: Saeid Sheikhi, Panos Kostakos
Veröffentlicht in: Computers & Security, Ausgabe 142 (2024), 2024, ISSN 1872-6208
Herausgeber: Computers & Security
DOI: 10.1016/j.cose.2024.103885

PAC-GPT: A Novel Approach to Generating Synthetic Network Traffic With GPT-3 (öffnet in neuem Fenster)

Autoren: Danial Khosh Kholgh, Panos Kostakos
Veröffentlicht in: IEEE Access, Ausgabe 11, 2024, Seite(n) 114936-114951, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3325727

Too Many Options: A Survey of ABE Libraries for Developers (öffnet in neuem Fenster)

Autoren: Mosteiro-Sanchez, Aintzane; Barcelo, Marc; Astorga, Jasone; Urbieta, Aitor
Veröffentlicht in: ArXiv, 2022, ISSN 2331-8422
Herausgeber: arXiv
DOI: 10.48550/arxiv.2209.12742

Exploring the Potential of EEG for Real-Time Interactions in Immersive Virtual Reality (öffnet in neuem Fenster)

Autoren: Mikko Korkiakoski, Theodoros Anagnostopoulos, Oskari Rajala, Mikael Sarkiniemi, Markus Hirsimaki, Jere Kinnunen, Paula Alavesa
Veröffentlicht in: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS, Ausgabe 20, 2023, Seite(n) 98-108, ISSN 1790-0832
Herausgeber: WSEAS Press
DOI: 10.37394/23209.2023.20.12

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation (öffnet in neuem Fenster)

Autoren: Xabier Sáez-de-Cámara Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Arrasate-Mondragón, Spain Mondragon Unibertsitatea, Arrasate-Mondragón, Spain Jose Luis Flores Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Arrasate-Mondragón, Spain Cristóbal Arellano Ikerlan Technology Research Centre, Basque Research and Technolo
Veröffentlicht in: IEEE Transactions on Dependable and Secure Computing, Ausgabe 22/02/2023, 2023, ISSN 1941-0018
Herausgeber: IEEE
DOI: 10.1109/tdsc.2023.3247166

A novel Edge architecture and solution for detecting concept drift in smart environments (öffnet in neuem Fenster)

Autoren: Hassan Mehmood, Ahmed Khalid, Panos Kostakos, Ekaterina Gilman, Susanna Pirttikangas
Veröffentlicht in: Future Generation Computer Systems, Ausgabe 150, 2024, Seite(n) 127-143, ISSN 0167-739X
Herausgeber: Elsevier BV
DOI: 10.1016/j.future.2023.08.023

Improving fuzzing assessment methods through the analysis of metrics and experimental conditions (öffnet in neuem Fenster)

Autoren: Maialen Eceiza , Jose Luis Flores, Mikel Iturbe
Veröffentlicht in: Computer & Security, Ausgabe Monthly, 2023, ISSN 1872-6208
Herausgeber: Computers&Security
DOI: 10.1016/j.cose.2022.102946

Autonomous Federated Learning for Distributed Intrusion Detection Systems in Public Networks (öffnet in neuem Fenster)

Autoren: Alireza Bakhshi Zadi Mahmoodi, Saeid Sheikhi, Ella Peltonen, Panos Kostakos
Veröffentlicht in: IEEE Access, Ausgabe 11, 2024, Seite(n) 121325-121339, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3327922

GPT-2C: A GPT-2 parser for Cowrie honeypot logs (öffnet in neuem Fenster)

Autoren: Setianto, Febrian; Tsani, Erion; Sadiq, Fatima; Domalis, Georgios; Tsakalidis, Dimitris; Kostakos, Panos
Veröffentlicht in: ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningNovember 2021, 2023, ISSN 2331-8422
Herausgeber: arXiv
DOI: 10.48550/arxiv.2109.06595

Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey (öffnet in neuem Fenster)

Autoren: Theodoros Anagnostopoulos, Panos Kostakos, Arkady Zaslavsky, Ioanna Kantzavelou, Nikos Tsotsolas, Ioannis Salmon, Jeremy Morley, Robert Harle
Veröffentlicht in: IEEE Access, Ausgabe 9, 2021, Seite(n) 131926-131954, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3114447

A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection (öffnet in neuem Fenster)

Autoren: Saeid Sheikhi, Panos Kostakos
Veröffentlicht in: Sensors 2022 Nov 30;22(23):9318, Ausgabe November 2022 (22), 2022, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239318

HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs) (öffnet in neuem Fenster)

Autoren: Ali, Tarek; Kostakos, Panos
Veröffentlicht in: Faculty of Information Technology and Electrical Engineering Center for Ubiquitous Computing, 2023, ISSN 2331-8422
Herausgeber: arXiv
DOI: 10.48550/arxiv.2309.16021

Addressing Data Challenges to Drive the Transformation of Smart Cities (öffnet in neuem Fenster)

Autoren: Ekaterina Gilman, Francesca Bugiotti, Ahmed Khalid, Hassan Mehmood, Panos Kostakos, Lauri Tuovinen, Johanna Ylipulli, Xiang Su, Denzil Ferreira
Veröffentlicht in: ACM Journals, Ausgabe March 2024, 2024, ISSN 2577-6193
Herausgeber: ACM Digital Library
DOI: 10.1145/3663482

Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4 (öffnet in neuem Fenster)

Autoren: Kaheh, Mehrdad; Kholgh, Danial Khosh; Kostakos, Panos
Veröffentlicht in: arXiv, 2023, ISSN 2331-8422
Herausgeber: arXiv
DOI: 10.48550/arxiv.2309.16422

Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks (öffnet in neuem Fenster)

Autoren: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza
Veröffentlicht in: Computers & Security, Ausgabe 131, 2024, Seite(n) 103299, ISSN 0167-4048
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2023.103299

Use cases also exist for attackers—how to foster the concept of misuse cases (öffnet in neuem Fenster)

Autoren: Mana Azamat, Johann Schütz & Mathias Uslar
Veröffentlicht in: e+i Elektrotechnik und Informationstechnik, Ausgabe Volume 140, 2023, Seite(n) 419–424, ISSN 0932-383X
Herausgeber: ComForEn 2023
DOI: 10.1007/s00502-023-01151-3

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

Autoren: Gorka Abad, Servio Paguada, Oguzhan Ersoy, Stjepan Picek, Victor Julio Ramírez-Durán, Aitor Urbieta
Veröffentlicht in: First IEEE Conference on Secure and Trustworthy Machine Learning, 2022
Herausgeber: First IEEE Conference on Secure and Trustworthy Machine Learning

Augmented Reality Integration for Real-Time Security and Maintenance in IoT-Enabled Smart Campuses (öffnet in neuem Fenster)

Autoren: Khalil Chakal, Mikko Korkiakoski, Hassan Mehmood, Theodoros Anagnostopoulos, Paula Alavesa, Panos Kostakos
Veröffentlicht in: IEEE Computer Society, 2023, Seite(n) 1-6
Herausgeber: IEEE Computer Science
DOI: 10.1109/icnp59255.2023.10355580

CyTRI – Fostering Security Measures Against Emerging Cyber Threats

Autoren: Mana Azamat, OFFIS, Oliver Werth, OFFIS, Mathias Uslar, OFFIS
Veröffentlicht in: Americas Conference on Information Systems (AMCIS), Ausgabe August 2024, 2024, Seite(n) 1497
Herausgeber: Association for Information Systems

Advancing Security in 5G Core Networks Through Unsupervised Federated Time Series Modeling (öffnet in neuem Fenster)

Autoren: Saeid Sheikhi, Panos Kostakos
Veröffentlicht in: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 2024, Seite(n) 353-356
Herausgeber: IEEE
DOI: 10.1109/csr61664.2024.10679491

Federated Explainability for Network Anomaly Characterization (öffnet in neuem Fenster)

Autoren: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza
Veröffentlicht in: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, 2024, Seite(n) 346-365
Herausgeber: ACM
DOI: 10.1145/3607199.3607234

Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms (öffnet in neuem Fenster)

Autoren: Mehdi Ravakhah; Mohsen Kamyar
Veröffentlicht in: 2023
Herausgeber: IEEE Explore
DOI: 10.1109/bigdata59044.2023.10386976

Aprendizaje Federado con Agrupación de Modelos para la Detección de Anomalías en Dispositivos IoT Heterogéneos (öffnet in neuem Fenster)

Autoren: Xabier Saez de Camara Cristobal Arellano Jose Luis Flores Aitor Urbieta Urko Zurutuza
Veröffentlicht in: XVII Reunión Española sobre Criptología y Seguridad de la Información, 2022, Seite(n) 198-204
Herausgeber: RECSI
DOI: 10.5281/zenodo.7806478

Cyber threat hunting using unsupervised federated learning and adversary emulation (öffnet in neuem Fenster)

Autoren: Saeid Sheikhi, Panos Kostakos
Veröffentlicht in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), Ausgabe 1, 2023, Seite(n) 315-320
Herausgeber: IEEE
DOI: 10.1109/csr57506.2023.10224990

Hack the Room: Exploring the potential of an augmented reality game for teaching cyber security (öffnet in neuem Fenster)

Autoren: Mikko Korkiakoski Anssi Antila Jouni Annamaa Saeid Sheikhi
Veröffentlicht in: 2023
Herausgeber: AHs '23: Proceedings of the Augmented Humans International Conference 2023
DOI: 10.1145/3582700.3583955

Penetration Testing of 5G Core Network Web Technologies (öffnet in neuem Fenster)

Autoren: Filippo Giambartolomei, Marc Barcelo, Alessandro Brighente, Aitor Urbieta, Mauro Conti
Veröffentlicht in: Ausgabe IEEE International Conference on Communications (ICC), 2024
Herausgeber: arXiv
DOI: 10.48550/arxiv.2403.01871

Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets (öffnet in neuem Fenster)

Autoren: Gorka Abad Oguzhan Ersoy Stjepan Picek Víctor Julio Ramírez-Durán Aitor Urbieta
Veröffentlicht in: 2022 ACM SIGSAC Conference on Computer and Communications Security, Ausgabe November 2022, 2022
Herausgeber: CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
DOI: 10.1145/3548606.3563532

DDoS attack detection using unsupervised federated learning for 5G networks and beyond (öffnet in neuem Fenster)

Autoren: Saeid Sheikhi, Panos Kostakos
Veröffentlicht in: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Ausgabe 6, 2023, Seite(n) 442-447
Herausgeber: IEEE
DOI: 10.1109/eucnc/6gsummit58263.2023.10188245

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data (öffnet in neuem Fenster)

Autoren: Gorka Abad, Oguzhan Ersoy, Stjepan Picek, Aitor Urbieta
Veröffentlicht in: 2023
Herausgeber: NDSS Symposium 2024
DOI: 10.14722/ndss.2024.24334

Using smart glasses for monitoring cyber threat intelligence feeds (öffnet in neuem Fenster)

Autoren: Mikko Korkiakoski, Fatima Sadiq, Febrian Setianto Ummi Khaira Latif Paula Alavesa, Panos Kostakos
Veröffentlicht in: 2022, ISBN 9781450391283
Herausgeber: ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
DOI: 10.1145/3487351.3492722

Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles (öffnet in neuem Fenster)

Autoren: Denis Stefanescu Patxi Galán-García Leticia Montalvillo Juanjo Unzilla Aitor Urbieta
Veröffentlicht in: Smart Cities: Blockchain for Next-Generation Internet of Things Applications, Ausgabe Smart Cities 2023, 6, 263–290., 2023
Herausgeber: Smart Cities
DOI: 10.3390/smartcities6010013

Leveraging Digital Twins and SIEM Integration for Incident Response in OT Environments

Autoren: Adei Arias, Cristobal Arellano, Aitor Urbieta, Urko Zurutuza
Veröffentlicht in: Jornadas Nacionales de Investigación en Ciberseguridad (JNIC) (9ª.2024. Sevilla) (2024), pp. 294-301., 2024, ISBN 978-84-09-62140-8
Herausgeber: Universidad de Sevilla

Semantic-Driven Focused Crawling Using LASER and FAISS: A Novel Approach for Threat Detection and Improved Information Retrieval (öffnet in neuem Fenster)

Autoren: Prasasthy Balasubramanian, Justin Seby, Panos Kostakos
Veröffentlicht in: 2023
Herausgeber: 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
DOI: 10.1109/trustcom60117.2023.00218

Rechte des geistigen Eigentums

DLT para auditorias de seguridad

Antrags-/Publikationsnummer: 2024RTE01340347 2024RTE01340347
Datum: 2024-10-28
Antragsteller: IKERLAN S. COOP

Gotham Testbed: Un banco de pruebas IoT reproducible para realizar experimentos de ciberseguridad

Antrags-/Publikationsnummer: 765-02056439 765-02056439
Datum: 2024-08-01
Antragsteller: IKERLAN S. COOP

IA distribuida para detección de anomalías

Antrags-/Publikationsnummer: 765-02142216 765-02142216
Datum: 2024-09-23
Antragsteller: IKERLAN S. COOP

Virtual EDR

Antrags-/Publikationsnummer: 2024RTE01341173 2024RTE01341173
Datum: 2024-10-28
Antragsteller: IKERLAN S. COOP

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