Empirical framework for identification of the most harmful malicious attacks on a smart grid
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2364-8228
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Empirical framework for identification of the most harmful malicious attacks on a smart grid ; volume:7 ; number:1 ; day:14 ; month:3 ; year:2022 ; pages:1-21 ; date:12.2022
Applied network science ; 7, Heft 1 (14.3.2022), 1-21, 12.2022
- Classification
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Politik
- Creator
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Albarakati, Aiman J.
Bikdash, Marwan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s41109-022-00451-5
- URN
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urn:nbn:de:101:1-2022060700410277096199
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Albarakati, Aiman J.
- Bikdash, Marwan
- SpringerLink (Online service)
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