Social learning for resilient data fusion against data falsification attacks
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2197-4314
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Social learning for resilient data fusion against data falsification attacks ; volume:5 ; number:1 ; day:25 ; month:10 ; year:2018 ; pages:1-25 ; date:12.2018
Computational Social Networks ; 5, Heft 1 (25.10.2018), 1-25, 12.2018
- Urheber
-
Rosas, Fernando
Chen, Kwang-Cheng
Gündüz, Deniz
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40649-018-0057-7
- URN
-
urn:nbn:de:101:1-2018121419383374792501
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
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Beteiligte
- Rosas, Fernando
- Chen, Kwang-Cheng
- Gündüz, Deniz
- SpringerLink (Online service)
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