Electrical Power System’s Shield against complex incidents and extensive cyber and privacy attacks

Informazioni relative al progetto

PHOENIX

ID dell’accordo di sovvenzione: 832989

DOI

10.3030/832989

Progetto chiuso

Data della firma CE 29 Aprile 2019

Data di avvio 1 Settembre 2019

Data di completamento 30 Settembre 2022

Finanziato da

• Secure societies - Protecting freedom and security of Europe and its citizens

Costo totale

€ 10 738 867,44

Contributo UE

€ 7 995 004,25

Coordinato da

CAPGEMINI TECHNOLOGY SERVICES
France

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 (12)

Privacy, Reputation and Mutual Auditability toolbox

This deliverable will provide the realization of the Privacy, Reputation and Mutual Auditability toolbox.

Marketing & promotional tools

This deliverable will comprise a listing and a description of the created marketing material and tools

Cybersecurity Certification processes

Provide the methodologies and processes of the PHOENIX Cybersecurity Certification Centre

Dissemination & Standardization Activities (Update)

This deliverable will summarize the Dissemination plans and SDO activities of the 2nd project period

Cross-GDPR sensitive data exchange toolbox (Ver. 2)

This deliverable will provide the tools and protocols for crossGDPRcrossborder information exchange

Marketing & promotional tools (Update)

This deliverable will comprise an updated listing and a description of the created marketing material and tools

Cross-GDPR sensitive data exchange toolbox (Ver. 1)

This deliverable will provide the tools and protocols for crossGDPRcrossborder information exchange

Dissemination & Standardization Activities

This deliverable will summarize the Dissemination plans and SDO activities of 1st project period.

PRESS Framework Analysis

This deliverable will analyse the EPES related Privacy, data Protection, Ethics, Security and Societal implications to be addressed by PHOENIX.

Secure and Persistent Communications Layer (Ver. 1)

D2.3 will extend the deliverable D2.2 and will provide an initial communication platform and federation between at least two blockchains. It will also include architecture updates and by design solutions evaluations.

Secure and Persistent Communications Layer (Ver. 2)

D24 will provide the final version of the federated communication platform including SDN5G features as they become available

Secure and Persistent Communications Layer (Ver. 0)

Deliverable D2.2 will provide theoretical studies and initial simulation results of the “protective by design” solutions.

Websites, patent fillings, videos etc. (1)

Project Web site

This deliverable will provide the initial version of the project web site to be updated frequently. It woudl include news and public information to be shared.

Pubblicazioni

Conference proceedings (7)

A Stochastic Assessment of Attacks based on Continuous-Time Markov Chains

Autori: Abhinav Sadu, Marija Stevic, Nikolaus Wirtz, Antonello Monti
Pubblicato in: 2020 6th IEEE International Energy Conference (ENERGYCon), Numero 28 Sept.-1 Oct. 2020, 2020, Pagina/e 11-16, ISBN 978-1-7281-2956-3
Editore: IEEE
DOI: 10.1109/energycon48941.2020.9236600

Investigating the Cybersecurity of Smart Grids Based on Cyber-Physical Twin Approach

Autori: Omer Sen, Florian Schmidtke, Federico Carere, Francesca Santori, Andreas Ulbig, Antonello Monti
Pubblicato in: SmartGridComm 2022: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022, 2022
Editore: IEEE

Pan-European Cybersecurity Incidents Information Sharing Platform to support NIS Directive

Autori: Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis, Artemis Voulkidis, Terpsichori-Helen Velivassaki, Konstantina Fotiadou
Pubblicato in: 2021
Editore: Association for Computing Machinery
DOI: 10.1145/3465481.3470477

On Holistic Multi-Step Cyberattack Detection via a Graph-based Correlation Approach

Autori: ̈Omer Sen, Chijioke Eze, Andreas Ulbig, Antonello Monti
Pubblicato in: SmartGridComm 2022: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022, 2022
Editore: IEEE

Demonstration of alignment of the Pan-European Cybersecurity Incidents Information Sharing Platform to Cybersecurity policy, regulatory and legislative advancements

Autori: Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis, Artemis Voulkidis, Terpsichori-Helen Velivassaki
Pubblicato in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, 2022
Editore: Association for Computing Machinery
DOI: 10.1145/3538969.3544477

Secure exchange of cyber threat intelligence using TAXII and distributed ledger technologies - application for electrical power and energy system

Autori: Maryam Pahlevan; Artemis Voulkidis; Terpsichori-Helen Velivassaki
Pubblicato in: ARES, 2021
Editore: Association for Computing Machinery
DOI: 10.1145/3465481.3470476

A Flexible Framework to Investigate Cascading in Interdependent Networks of Power Systems

Autori: Nikolaus Wirtz, Antonello Monti
Pubblicato in: 2020 6th IEEE International Energy Conference (ENERGYCon), Numero 28 Sept.-1 Oct. 2020, 2020, Pagina/e 38-41, ISBN 978-1-7281-2956-3
Editore: IEEE
DOI: 10.1109/energycon48941.2020.9236542

Peer reviewed articles (3)

Proactive Critical Energy Infrastructure Protection via Deep Feature Learning

Autori: Konstantina Fotiadou, Terpsichori Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Corrado De Santis, Theodore Zahariadis
Pubblicato in: Energies, Numero 13/10, 2020, Pagina/e 2622, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en13102622

Incidents Information Sharing Platform for Distributed Attack Detection

Autori: Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Konstantinos Railis, Panagiotis Trakadas, Theodore Zahariadis
Pubblicato in: IEEE Open Journal of the Communications Society, 2020, Pagina/e 1-1, ISSN 2644-125X
Editore: IEEE
DOI: 10.1109/ojcoms.2020.2989925

Network Traffic Anomaly Detection via Deep Learning

Autori: Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis
Pubblicato in: Information, Numero 12/5, 2021, Pagina/e 215, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12050215