ResilMesh: Situation Aware enabled Cyber Resilience for Dispersed, Heterogenous Cyber Systems

Información del proyecto

ResilMesh

Identificador del acuerdo de subvención: 101119681

DOI

10.3030/101119681

Fecha de la firma de la CE 28 Septiembre 2023

Fecha de inicio 1 Octubre 2023

Fecha de finalización 30 Septiembre 2026

Financiado con arreglo a

• Civil Security for Society

Coste total

€ 6 446 125,00

Aportación de la UE

€ 5 704 187,50

Coordinado por

Technological University of the Shannon: Midlands Midwest
Ireland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (8)

Communication and Dissemination Materials and Activities report v1

The set of materials, documents, website, social media and other means to disseminate awareness

Dissemination and Communication Plan v2

Describes the goals, methods and activities to spread awareness of ResilMesh

Open call documents KIT v1

Comprises the information needed for the applicants to submit

Dissemination and Communication Plan v1

Describes the goals, methods and activities to spread awareness of ResilMesh

Requirements Specification

Describes requirements for system and use cases

Stakeholder Engagmnt. Process and Activities v1

Description of exploitationplans and activities

Aggregation and Collaboration Tools Selection

Evaluation of tools required for the aggregation and collaboration mesh

System Architecture v1

Describes architectural specification of platform

Data sets, microdata, etc (1)

External Data Sets

External data sets to use in model training

Data Management Plan (1)

Data Management Plan v1

Describes how generated data will be managed.

Publicaciones

Conference proceedings (6)

Cyber protection applications of quantum computing: A review

Autores: Ummar Ahmed, Tuomo Sipola, Jari Hautamäki
Publicado en: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Edición Vol. 23, No. 1, 2024
Editor: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2182

Machine learning applications of quantum computing: A review

Autores: Thien Nguyen, Tuomo Sipola, Jari Hautamäki
Publicado en: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Edición Vol. 23, No.1, 2024
Editor: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2258

Hierarchical Modeling of Cyber Assets in Kill Chain Attack Graphs

Autores: Lukáš Sadlek, Martin Husák, Pavel Čeleda
Publicado en: 2024 20th International Conference on Network and Service Management (CNSM), 2025
Editor: IEEE
DOI: 10.23919/CNSM62983.2024.10814501

Exploring the influence of the choice of prior of the Variational Auto-Encoder on cybersecurity anomaly detection

Autores: Tengfei Yang, Yuansong Qiao, Brian Lee
Publicado en: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
Editor: ACM
DOI: 10.1145/3664476.3670923

Applications of post-quantum cryptography

Autores: Emils Bagirovs, Grigory Provodin, Tuomo Sipola, Jari Hautamäki
Publicado en: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Edición Vol. 23, No. 1, 2024
Editor: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2247

Edge-Based Anomaly Detection: Enhancing Performance and Sustainability of Cyber-Attack Detection in Smart Water Distribution Systems

Autores: Michael Somma, Andreas Flatscher, Branka Stojanović
Publicado en: 2024 32nd Telecommunications Forum (TELFOR), 2025
Editor: IEEE
DOI: 10.1109/TELFOR63250.2024.10819044

Book chapters (1)

An Information-Theoretic Approach for Anomaly Detection in RPL-Based Internet of Things

Autores: Vinh Hoa La, Edgardo Montes de Oca, Ana Cavalli
Publicado en: IFIP Advances in Information and Communication Technology, Internet of Things, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81900-1_6

Peer reviewed articles (1)

Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection

Autores: Tengfei Yang, Yuansong Qiao, Brian Lee
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3421330