Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-7675
- 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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Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks ; day:12 ; month:9 ; year:2022 ; pages:1-23
Journal of intelligent information systems ; (12.9.2022), 1-23
- Creator
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Ghanem, Mohamed C.
Chen, Thomas M.
Nepomuceno, Erivelton G.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10844-022-00738-0
- URN
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urn:nbn:de:101:1-2022112921090608881030
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:27 AM CEST
Data provider
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Associated
- Ghanem, Mohamed C.
- Chen, Thomas M.
- Nepomuceno, Erivelton G.
- SpringerLink (Online service)
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