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

Informations projet

ResilMesh

N° de convention de subvention: 101119681

DOI

10.3030/101119681

Date de signature de la CE 28 Septembre 2023

Date de début 1 Octobre 2023

Date de fin 30 Novembre 2026

Financé au titre de

• Civil Security for Society

Coût total

€ 6 446 125,00

Contribution de l’UE

€ 5 702 406,25

Coordonné par

Technological University of the Shannon: Midlands Midwest
Ireland

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (8)

Dissemination and Communication Plan v2

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

Aggregation and Collaboration Tools Selection

Evaluation of tools required for the aggregation and collaboration mesh

Requirements Specification

Describes requirements for system and use cases

Stakeholder Engagmnt. Process and Activities v1

Description of exploitationplans and activities

System Architecture v1

Describes architectural specification of platform

Dissemination and Communication Plan v1

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

Communication and Dissemination Materials and Activities report v1

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

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.

Publications

Conference proceedings (6)

Cyber protection applications of quantum computing: A review

Auteurs: Ummar Ahmed, Tuomo Sipola, Jari Hautamäki
Publié dans: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numéro Vol. 23, No. 1, 2024
Éditeur: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2182

Machine learning applications of quantum computing: A review

Auteurs: Thien Nguyen, Tuomo Sipola, Jari Hautamäki
Publié dans: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numéro Vol. 23, No.1, 2024
Éditeur: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2258

Hierarchical Modeling of Cyber Assets in Kill Chain Attack Graphs

Auteurs: Lukáš Sadlek, Martin Husák, Pavel Čeleda
Publié dans: 2024 20th International Conference on Network and Service Management (CNSM), 2025
Éditeur: IEEE
DOI: 10.23919/CNSM62983.2024.10814501

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

Auteurs: Tengfei Yang, Yuansong Qiao, Brian Lee
Publié dans: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
Éditeur: ACM
DOI: 10.1145/3664476.3670923

Applications of post-quantum cryptography

Auteurs: Emils Bagirovs, Grigory Provodin, Tuomo Sipola, Jari Hautamäki
Publié dans: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numéro Vol. 23, No. 1, 2024
Éditeur: 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

Auteurs: Michael Somma, Andreas Flatscher, Branka Stojanović
Publié dans: 2024 32nd Telecommunications Forum (TELFOR), 2025
Éditeur: IEEE
DOI: 10.1109/TELFOR63250.2024.10819044

Book chapters (1)

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

Auteurs: Vinh Hoa La, Edgardo Montes de Oca, Ana Cavalli
Publié dans: IFIP Advances in Information and Communication Technology, Internet of Things, 2024
Éditeur: 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

Auteurs: Tengfei Yang, Yuansong Qiao, Brian Lee
Publié dans: IEEE Access, Numéro 12, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3421330