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

Informazioni relative al progetto

ResilMesh

ID dell’accordo di sovvenzione: 101119681

DOI

10.3030/101119681

Data della firma CE 28 Settembre 2023

Data di avvio 1 Ottobre 2023

Data di completamento 30 Novembre 2026

Finanziato da

• Civil Security for Society

Costo totale

€ 6 446 125,00

Contributo UE

€ 5 702 406,25

Coordinato da

Technological University of the Shannon: Midlands Midwest
Ireland

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 (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.

Pubblicazioni

Conference proceedings (6)

Cyber protection applications of quantum computing: A review

Autori: Ummar Ahmed, Tuomo Sipola, Jari Hautamäki
Pubblicato in: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numero Vol. 23, No. 1, 2024
Editore: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2182

Machine learning applications of quantum computing: A review

Autori: Thien Nguyen, Tuomo Sipola, Jari Hautamäki
Pubblicato in: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numero Vol. 23, No.1, 2024
Editore: Academic Conferences International Limited
DOI: 10.34190/ECCWS.23.1.2258

Hierarchical Modeling of Cyber Assets in Kill Chain Attack Graphs

Autori: Lukáš Sadlek, Martin Husák, Pavel Čeleda
Pubblicato in: 2024 20th International Conference on Network and Service Management (CNSM), 2025
Editore: IEEE
DOI: 10.23919/CNSM62983.2024.10814501

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

Autori: Tengfei Yang, Yuansong Qiao, Brian Lee
Pubblicato in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
Editore: ACM
DOI: 10.1145/3664476.3670923

Applications of post-quantum cryptography

Autori: Emils Bagirovs, Grigory Provodin, Tuomo Sipola, Jari Hautamäki
Pubblicato in: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Numero Vol. 23, No. 1, 2024
Editore: 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

Autori: Michael Somma, Andreas Flatscher, Branka Stojanović
Pubblicato in: 2024 32nd Telecommunications Forum (TELFOR), 2025
Editore: IEEE
DOI: 10.1109/TELFOR63250.2024.10819044

Book chapters (1)

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

Autori: Vinh Hoa La, Edgardo Montes de Oca, Ana Cavalli
Pubblicato in: IFIP Advances in Information and Communication Technology, Internet of Things, 2024
Editore: 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

Autori: Tengfei Yang, Yuansong Qiao, Brian Lee
Pubblicato in: IEEE Access, Numero 12, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3421330