A Cognitive Detection System for Cybersecure Operational Technologies

Risultati finali

Dissemination, Communication and exploitation strategy Plan

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

Report including the baseline for the standardization activities Linked to T82

Report on cyber threats and responses in OT

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

Resilience Actions Support SystemsLinked to T5.1

Use case scenarios and risk analysis

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

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

Report on dissemination actions and plan M1-M18

Periodic reports on dissemination and communication activitiesLinked to T81

Audit information

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

Report on Distributed Ledger Solution

DirectedAcyclicGraphSystem for traceability in the use casesLinked to T23

Results of the tools validation and benchmarking

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

Architecture and data sources

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

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

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

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

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

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

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

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

IDUNN project Online/Digital Presence

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

Pubblicazioni

TSTEM: A Cognitive Platform for Collecting Cyber Threat Intelligencein the Wild

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

Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel Users

Autori: Mikko Korkiakoski; Paula Alavesa; Panos Kostakos
Pubblicato in: IEEE Explore, 2024, ISSN 1558-2590
Editore: IEEE Explore
DOI: 10.1109/mprv.2024.3364541

Safeguarding cyberspace: Enhancing malicious website detection with PSOsingle bondoptimized XGBoost and firefly-based feature selection

Autori: Saeid Sheikhi, Panos Kostakos
Pubblicato in: Computers & Security, Numero 142 (2024), 2024, ISSN 1872-6208
Editore: Computers & Security
DOI: 10.1016/j.cose.2024.103885

PAC-GPT: A Novel Approach to Generating Synthetic Network Traffic With GPT-3

Autori: Danial Khosh Kholgh, Panos Kostakos
Pubblicato in: IEEE Access, Numero 11, 2024, Pagina/e 114936-114951, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3325727

Too Many Options: A Survey of ABE Libraries for Developers

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

Exploring the Potential of EEG for Real-Time Interactions in Immersive Virtual Reality

Autori: Mikko Korkiakoski, Theodoros Anagnostopoulos, Oskari Rajala, Mikael Sarkiniemi, Markus Hirsimaki, Jere Kinnunen, Paula Alavesa
Pubblicato in: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS, Numero 20, 2023, Pagina/e 98-108, ISSN 1790-0832
Editore: WSEAS Press
DOI: 10.37394/23209.2023.20.12

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

Autori: 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
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, Numero 22/02/2023, 2023, ISSN 1941-0018
Editore: IEEE
DOI: 10.1109/tdsc.2023.3247166

A novel Edge architecture and solution for detecting concept drift in smart environments

Autori: Hassan Mehmood, Ahmed Khalid, Panos Kostakos, Ekaterina Gilman, Susanna Pirttikangas
Pubblicato in: Future Generation Computer Systems, Numero 150, 2024, Pagina/e 127-143, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2023.08.023

Improving fuzzing assessment methods through the analysis of metrics and experimental conditions

Autori: Maialen Eceiza , Jose Luis Flores, Mikel Iturbe
Pubblicato in: Computer & Security, Numero Monthly, 2023, ISSN 1872-6208
Editore: Computers&Security
DOI: 10.1016/j.cose.2022.102946

Autonomous Federated Learning for Distributed Intrusion Detection Systems in Public Networks

Autori: Alireza Bakhshi Zadi Mahmoodi, Saeid Sheikhi, Ella Peltonen, Panos Kostakos
Pubblicato in: IEEE Access, Numero 11, 2024, Pagina/e 121325-121339, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3327922

GPT-2C: A GPT-2 parser for Cowrie honeypot logs

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

Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey

Autori: Theodoros Anagnostopoulos, Panos Kostakos, Arkady Zaslavsky, Ioanna Kantzavelou, Nikos Tsotsolas, Ioannis Salmon, Jeremy Morley, Robert Harle
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 131926-131954, ISSN 2169-3536
Editore: 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

Autori: Saeid Sheikhi, Panos Kostakos
Pubblicato in: Sensors 2022 Nov 30;22(23):9318, Numero November 2022 (22), 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239318

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

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

Addressing Data Challenges to Drive the Transformation of Smart Cities

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

Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4

Autori: Kaheh, Mehrdad; Kholgh, Danial Khosh; Kostakos, Panos
Pubblicato in: arXiv, 2023, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/arxiv.2309.16422

Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks

Autori: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza
Pubblicato in: Computers & Security, Numero 131, 2024, Pagina/e 103299, ISSN 0167-4048
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2023.103299

Use cases also exist for attackers—how to foster the concept of misuse cases

Autori: Mana Azamat, Johann Schütz & Mathias Uslar
Pubblicato in: e+i Elektrotechnik und Informationstechnik, Numero Volume 140, 2023, Pagina/e 419–424, ISSN 0932-383X
Editore: ComForEn 2023
DOI: 10.1007/s00502-023-01151-3

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

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

Augmented Reality Integration for Real-Time Security and Maintenance in IoT-Enabled Smart Campuses

Autori: Khalil Chakal, Mikko Korkiakoski, Hassan Mehmood, Theodoros Anagnostopoulos, Paula Alavesa, Panos Kostakos
Pubblicato in: IEEE Computer Society, 2023, Pagina/e 1-6
Editore: IEEE Computer Science
DOI: 10.1109/icnp59255.2023.10355580

CyTRI – Fostering Security Measures Against Emerging Cyber Threats

Autori: Mana Azamat, OFFIS, Oliver Werth, OFFIS, Mathias Uslar, OFFIS
Pubblicato in: Americas Conference on Information Systems (AMCIS), Numero August 2024, 2024, Pagina/e 1497
Editore: Association for Information Systems

Advancing Security in 5G Core Networks Through Unsupervised Federated Time Series Modeling

Autori: Saeid Sheikhi, Panos Kostakos
Pubblicato in: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 2024, Pagina/e 353-356
Editore: IEEE
DOI: 10.1109/csr61664.2024.10679491

Federated Explainability for Network Anomaly Characterization

Autori: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza
Pubblicato in: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, 2024, Pagina/e 346-365
Editore: ACM
DOI: 10.1145/3607199.3607234

Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms

Autori: Mehdi Ravakhah; Mohsen Kamyar
Pubblicato in: 2023
Editore: IEEE Explore
DOI: 10.1109/bigdata59044.2023.10386976

Aprendizaje Federado con Agrupación de Modelos para la Detección de Anomalías en Dispositivos IoT Heterogéneos

Autori: Xabier Saez de Camara Cristobal Arellano Jose Luis Flores Aitor Urbieta Urko Zurutuza
Pubblicato in: XVII Reunión Española sobre Criptología y Seguridad de la Información, 2022, Pagina/e 198-204
Editore: RECSI
DOI: 10.5281/zenodo.7806478

Cyber threat hunting using unsupervised federated learning and adversary emulation

Autori: Saeid Sheikhi, Panos Kostakos
Pubblicato in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), Numero 1, 2023, Pagina/e 315-320
Editore: IEEE
DOI: 10.1109/csr57506.2023.10224990

Hack the Room: Exploring the potential of an augmented reality game for teaching cyber security

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

Penetration Testing of 5G Core Network Web Technologies

Autori: Filippo Giambartolomei, Marc Barcelo, Alessandro Brighente, Aitor Urbieta, Mauro Conti
Pubblicato in: Numero IEEE International Conference on Communications (ICC), 2024
Editore: arXiv
DOI: 10.48550/arxiv.2403.01871

Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets

Autori: Gorka Abad Oguzhan Ersoy Stjepan Picek Víctor Julio Ramírez-Durán Aitor Urbieta
Pubblicato in: 2022 ACM SIGSAC Conference on Computer and Communications Security, Numero November 2022, 2022
Editore: 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

Autori: Saeid Sheikhi, Panos Kostakos
Pubblicato in: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Numero 6, 2023, Pagina/e 442-447
Editore: IEEE
DOI: 10.1109/eucnc/6gsummit58263.2023.10188245

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

Autori: Gorka Abad, Oguzhan Ersoy, Stjepan Picek, Aitor Urbieta
Pubblicato in: 2023
Editore: NDSS Symposium 2024
DOI: 10.14722/ndss.2024.24334

Using smart glasses for monitoring cyber threat intelligence feeds

Autori: Mikko Korkiakoski, Fatima Sadiq, Febrian Setianto Ummi Khaira Latif Paula Alavesa, Panos Kostakos
Pubblicato in: 2022, ISBN 9781450391283
Editore: 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

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

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

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

Semantic-Driven Focused Crawling Using LASER and FAISS: A Novel Approach for Threat Detection and Improved Information Retrieval

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

Diritti di proprietà intellettuale

DLT para auditorias de seguridad

Numero candidatura/pubblicazione: 2024RTE01340347 2024RTE01340347
Data: 2024-10-28
Candidato/i: IKERLAN S. COOP

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

Numero candidatura/pubblicazione: 765-02056439 765-02056439
Data: 2024-08-01
Candidato/i: IKERLAN S. COOP

IA distribuida para detección de anomalías

Numero candidatura/pubblicazione: 765-02142216 765-02142216
Data: 2024-09-23
Candidato/i: IKERLAN S. COOP

Virtual EDR

Numero candidatura/pubblicazione: 2024RTE01341173 2024RTE01341173
Data: 2024-10-28
Candidato/i: IKERLAN S. COOP

Risultati finali

Pubblicazioni

Diritti di proprietà intellettuale

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