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

Projektinformationen

ResilMesh

ID Finanzhilfevereinbarung: 101119681

DOI

10.3030/101119681

EK-Unterschriftsdatum 28 September 2023

Startdatum 1 Oktober 2023

Enddatum 30 September 2026

Finanziert unter

• Civil Security for Society

Gesamtkosten

€ 6 446 125,00

EU-Beitrag

€ 5 704 187,50

Koordiniert durch

Technological University of the Shannon: Midlands Midwest
Ireland

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

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.

Veröffentlichungen

Conference proceedings (6)

Cyber protection applications of quantum computing: A review

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

Machine learning applications of quantum computing: A review

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

Hierarchical Modeling of Cyber Assets in Kill Chain Attack Graphs

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

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

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

Applications of post-quantum cryptography

Autoren: Emils Bagirovs, Grigory Provodin, Tuomo Sipola, Jari Hautamäki
Veröffentlicht in: Proceedings of the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), Ausgabe Vol. 23, No. 1, 2024
Herausgeber: 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

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

Book chapters (1)

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

Autoren: Vinh Hoa La, Edgardo Montes de Oca, Ana Cavalli
Veröffentlicht in: IFIP Advances in Information and Communication Technology, Internet of Things, 2024
Herausgeber: 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

Autoren: Tengfei Yang, Yuansong Qiao, Brian Lee
Veröffentlicht in: IEEE Access, Ausgabe 12, 2024, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3421330