Dynamic cybersecurity management for organisations and local/regional networks based on awareness and collaboration

Informazioni relative al progetto

CS-AWARE-NEXT

ID dell’accordo di sovvenzione: 101069543

DOI

10.3030/101069543

Progetto chiuso

Data della firma CE 22 Giugno 2022

Data di avvio 1 Luglio 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Civil Security for Society

Costo totale

€ 4 993 274,00

Contributo UE

€ 4 993 274,00

Coordinato da

OULUN YLIOPISTO
Finland

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 (10)

Framework for dynamic disaster recovery and business continuity

The disaster recovery and business continuity framework developed in T4.2.

Cybersecurity scenarios for local/regional incident and risk management

The integrated scenarios developed in T7.1.

KPI-based benchmarking and profiling framework

The benchmarking and profiling framework developed in T7.3.

The CS-AWARE-NEXT framework

The framework and information flow model developed in T6.1.

Framework for cybersecurity information sharing and threat intelligence for organisational and local/regional cybersecurity management

A report specifying the framework for cybersecurity information sharing and threat intelligence defined in T5.2.

Data-lake based data store, adaptive AI-based cataloguing and data quality assurance

Report of the data collection and storage pipeline designed in T4.2.

Scenario evaluation report

The results of qualitative and quantitative evaluation of T7.2.

Risk-aware dynamic cybersecurity policy framework

The policy management framework developed in T1.2.

Local/regional cybersecurity collaboration environment

The collaborative environment developed in T2.3.

Local/regional cybersecurity cooperation/collaboration framework

Report of the requirement, KPI and scenario developments of T2.1.

Pubblicazioni

Peer reviewed articles (2)

Are Claims Grounded in Data? An Empowering Linking Approach for Misalignment Identification in Online Data-Driven Discussions

Autori: Tiziano Citro, Maria Angela Pellegrino, Carmine Spagnuolo
Pubblicato in: IEEE Access, Numero 12, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3511039

Enhancing data preparation: insights from a time series case study

Autori: Camilla Sancricca; Giovanni Siracusa; Cinzia Cappiello
Pubblicato in: Journal of Intelligent Information Systems, 2024, ISSN 1573-7675
Editore: Springer
DOI: 10.1007/S10844-024-00867-8

Conference proceedings (13)

On the Road of Data-driven Discussion: a Comparison of Open-source Collaboration Platforms

Autori: Jerry Andriessen, Tiziano Citro, Thomas Schaberreiter, Luigi Serra
Pubblicato in: Proceedings of the 1st Sustainable, Secure, and Smart Collaboration Workshop in conjunction with CHITALY 2023- Biannual Conference of the Italian SIGCHI Chapter, 2022, ISSN 1613-0073
Editore: Technical University of Aachen

Spreading Awareness Cybersecurity via Storytelling: A Systematic Literature Review

Autori: Jerry Andriessen, Tiziano Citro, Giuseppina Palmieri, Mirjam Pardijs
Pubblicato in: Lecture Notes in Networks and Systems, Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-85561-0_15

Data Quality and Data Ethics: Towards a Trade-off Evaluation

Autori: Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Camilla Sancricca, Letizia Tanca
Pubblicato in: Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases {(VLDB} 2023), Vancouver, Canada, August 28 - September 1, 2023, 2023
Editore: CEUR-WS.org

Human-in-the-loop anomaly detection and contextual intelligence for enhancing cybersecurity management

Autori: Cinzia Cappiello, Thomas Schaberreiter, Jerry Andriessen, Mirjam Paradijs, Alexandros Papanikolaou, Fotios Gioulekas, Athanasios Tzikas, Konstantinos Gounaris, and Evangelos Stamatiadis
Pubblicato in: 1st International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS 2024), 2024
Editore: International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security

Increasing Cybersecurity Awareness and Collaboration in Organisations and Local / Regional Networks: The CS-AWARE-NEXT Project

Autori: Christian Luidold, Thomas Schaberreiter, Christian Wieser, Adamantios Koumpis, Cinzia Cappiello, Tiziano Citro, Jerry Andriessen, Juha Röning
Pubblicato in: Sustainable, Secure, and Smart Collaboration (S3C) Workshop 2023, 2023, ISSN 1613-0073
Editore: CEUR workshop proceedings

About the Effects of Data Imputation Techniques on {ML} Uncertainty

Autori: Cinzia Cappiello, Federico Cerutti, Camilla Sancricca, Riccardo Zanelli
Pubblicato in: Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases {(VLDB} 2023), Vancouver, Canada, August 28 - September 1, 2023, 2023
Editore: CEUR-WS.org

Cybersecurity Threat Detection Through Business Process Log Analysis

Autori: Barbara Pernici, Fotios Gioulekas, Athanasios Tzikas, Konstantinos Gounaris, Evangelos Stamatiadis, Thomas Schaberreiter, Cinzia Cappiello
Pubblicato in: Lecture Notes in Computer Science, Model-Based Safety and Assessment, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05073-1_7

Collaborative Cybersecurity Awareness Learning in Higher Education

Autori: Vittorio Scarano, Palmieri Giuseppina, Jerry Andriessen, Mirjam Pardijs
Pubblicato in: Lecture Notes in Networks and Systems, Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-42134-1_30

Improving Cybersecurity Awareness: Tweet Classification using Multilingual Sentence Embeddings and Contextual Features

Autori: Anastasia Cotov, Carlo Bono, Cinzia Cappiello, Barbara Pernici
Pubblicato in: IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, 2023
Editore: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386480

As a Grain of Link: How Far Should We Take Link Granularity

Autori: Tiziano Citro, Maria Angela Pellegrino, Vittorio Scarano, Carmine Spagnuolo
Pubblicato in: Proceedings of the 35th ACM Conference on Hypertext and Social Media, 2025
Editore: ACM
DOI: 10.1145/3648188.3675146

Addressing Critical Issues and Challenges for Dynamic Cybersecurity Management in Organisations and Local/Regional Networks: The CS-AWARE-NEXT Project

Autori: Thomas Schaberreiter; Christian Wieser; Adamantios Koumpis; Christian Luidold; Jerry Andriessen; Cinzia Cappiello; Juha Röning
Pubblicato in: 2023 Fifth International Conference on Transdisciplinary AI (TransAI), 2023, ISBN 979-8-3503-5801-8
Editore: IEEE
DOI: 10.1109/TransAI60598.2023.00016

Data Quality and Fairness: Rivals or Friends?

Autori: Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Sergio Cuzzucoli, Alessandro Dangelo, Camilla Sancricca, Letizia Tanca
Pubblicato in: Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023, 2023
Editore: CEUR-WS.org

Exploring the Influence of Data Characteristics on Machine Learning Outcomes

Autori: Camilla Sancricca, Pasquale Castiglione, Cinzia Cappiello
Pubblicato in: Lecture Notes in Business Information Processing, Enterprise, Business-Process and Information Systems Modeling, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-95397-2_14