Cristin-resultat-ID: 1923570
Sist endret: 4. februar 2022, 10:02
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021

Towards Federated Learning-based Collaborative Adaptive Cybersecurity for Multi-microgrids

Bidragsytere:
  • Svetlana Boudko
  • Habtamu Abie
  • Ethiopia Nigussie og
  • Reijo Savola

Bok

Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems
ISBN:
  • 978-989-758-529-6

Utgiver

SciTePress
NVI-nivå 1

Serie

International Conference on Wireless Networks and Mobile Systems
ISSN 2184-948X

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2021
Hefte: 18
Sider: 83 - 90
ISBN:
  • 978-989-758-529-6

Klassifisering

Fagfelt (NPI)

Fagfelt: IKT
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Towards Federated Learning-based Collaborative Adaptive Cybersecurity for Multi-microgrids

Sammendrag

Multi-microgrids (MMGs) provide economic and environmental benefits to society by improving operational flexibility, stability and reliability of a smart grid. MMGs have greater complexity than conventional power networks due to the use of multiple infrastructures, communication protocols, controllers, and intelligent electronic devices. The distributed and heterogeneous connectivity technologies of the MMGs and their need to exchange information with external sources as well as the vulnerabilities in the communication networks and software-based components, make MMGs susceptible to cyberattacks. In this work, we present a conceptual framework for collaborative adaptive cybersecurity that is able to proactively detect security incidents. The framework utilizes federated learning for collaborative training of shared prediction models in a decentralized manner. The methodology used in this research is mainly analytical. This involves analysis of how the principles of a collaborative adaptive cybersecurity can be applied to the MMG environments resulting in the development of theoretical models which can then be validated in practice by prototyping and using real time simulation.

Bidragsytere

Svetlana Boudko

  • Tilknyttet:
    Forfatter
    ved Avdeling for anvendt IKT-forskning DART ved Norsk Regnesentral

Habtamu Abie

  • Tilknyttet:
    Forfatter
    ved Avdeling for anvendt IKT-forskning DART ved Norsk Regnesentral

Ethiopia Nigussie

  • Tilknyttet:
    Forfatter
    ved Turun yliopisto

Reijo Savola

  • Tilknyttet:
    Forfatter
    ved VTT Valtion teknillinen tutkimuslaitos
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Resultatet er en del av Resultatet er en del av

Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems .

Rodrigues, Joel; Lloret Mauri, Jaime. 2021, SciTePress. Vitenskapelig antologi/Konferanseserie
1 - 1 av 1