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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Privacy, Reputation and Mutual Auditability toolbox (opens in new window)

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

Marketing & promotional tools (opens in new window)

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

Cybersecurity Certification processes (opens in new window)

Provide the methodologies and processes of the PHOENIX Cybersecurity Certification Centre

Dissemination & Standardization Activities (Update) (opens in new window)

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

Cross-GDPR sensitive data exchange toolbox (Ver. 2) (opens in new window)

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

Marketing & promotional tools (Update) (opens in new window)

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) (opens in new window)

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

Dissemination & Standardization Activities (opens in new window)

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

PRESS Framework Analysis (opens in new window)

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) (opens in new window)

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) (opens in new window)

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) (opens in new window)

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

Project Web site (opens in new window)

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.

Publications

A Stochastic Assessment of Attacks based on Continuous-Time Markov Chains (opens in new window)

Author(s): Abhinav Sadu, Marija Stevic, Nikolaus Wirtz, Antonello Monti
Published in: 2020 6th IEEE International Energy Conference (ENERGYCon), Issue 28 Sept.-1 Oct. 2020, 2020, Page(s) 11-16, ISBN 978-1-7281-2956-3
Publisher: IEEE
DOI: 10.1109/energycon48941.2020.9236600

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

Author(s): Omer Sen, Florian Schmidtke, Federico Carere, Francesca Santori, Andreas Ulbig, Antonello Monti
Published in: SmartGridComm 2022: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022, 2022
Publisher: IEEE

Pan-European Cybersecurity Incidents Information Sharing Platform to support NIS Directive (opens in new window)

Author(s): Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis, Artemis Voulkidis, Terpsichori-Helen Velivassaki, Konstantina Fotiadou
Published in: 2021
Publisher: Association for Computing Machinery
DOI: 10.1145/3465481.3470477

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

Author(s): ̈Omer Sen, Chijioke Eze, Andreas Ulbig, Antonello Monti
Published in: SmartGridComm 2022: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022, 2022
Publisher: IEEE

Demonstration of alignment of the Pan-European Cybersecurity Incidents Information Sharing Platform to Cybersecurity policy, regulatory and legislative advancements (opens in new window)

Author(s): Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis, Artemis Voulkidis, Terpsichori-Helen Velivassaki
Published in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, 2022
Publisher: 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 (opens in new window)

Author(s): Maryam Pahlevan; Artemis Voulkidis; Terpsichori-Helen Velivassaki
Published in: ARES, 2021
Publisher: Association for Computing Machinery
DOI: 10.1145/3465481.3470476

A Flexible Framework to Investigate Cascading in Interdependent Networks of Power Systems (opens in new window)

Author(s): Nikolaus Wirtz, Antonello Monti
Published in: 2020 6th IEEE International Energy Conference (ENERGYCon), Issue 28 Sept.-1 Oct. 2020, 2020, Page(s) 38-41, ISBN 978-1-7281-2956-3
Publisher: IEEE
DOI: 10.1109/energycon48941.2020.9236542

Proactive Critical Energy Infrastructure Protection via Deep Feature Learning (opens in new window)

Author(s): Konstantina Fotiadou, Terpsichori Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Corrado De Santis, Theodore Zahariadis
Published in: Energies, Issue 13/10, 2020, Page(s) 2622, ISSN 1996-1073
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en13102622

Incidents Information Sharing Platform for Distributed Attack Detection (opens in new window)

Author(s): Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Konstantinos Railis, Panagiotis Trakadas, Theodore Zahariadis
Published in: IEEE Open Journal of the Communications Society, 2020, Page(s) 1-1, ISSN 2644-125X
Publisher: IEEE
DOI: 10.1109/ojcoms.2020.2989925

Network Traffic Anomaly Detection via Deep Learning (opens in new window)

Author(s): Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis
Published in: Information, Issue 12/5, 2021, Page(s) 215, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12050215

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