Conference
Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection
| Title: | Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection |
|---|---|
| Authors: | Maliha, Maisha, Atiquzzaman, Mohammed |
| Source: | 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2025 20th Conference on. :35-42 Sep, 2025 |
| Relation: | 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS) |
| Database: | IEEE Xplore Digital Library |
| FullText | Text: Availability: 0 |
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| Header | DbId: edseee DbLabel: IEEE Xplore Digital Library An: edseee.11214683 RelevancyScore: 1129 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 1129.41381835938 |
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| Items | – Name: Title Label: Title Group: Ti Data: Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maliha%2C+Maisha%22">Maliha, Maisha</searchLink><br /><searchLink fieldCode="AR" term="%22Atiquzzaman%2C+Mohammed%22">Atiquzzaman, Mohammed</searchLink> – Name: TitleSource Label: Source Group: Src Data: 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2025 20th Conference on. :35-42 Sep, 2025 – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11214683 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15439/2025F1820 PhysicalDescription: Pagination: PageCount: 8 StartPage: 35 Titles: – TitleFull: Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maliha, Maisha – PersonEntity: Name: NameFull: Atiquzzaman, Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 09 Type: published Y: 2025 Identifiers: – Type: isbn-print Value: 9788397329164 – Type: issn-locals Value: edseee.IEEEConferenc Titles: – TitleFull: 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS), Computer Science and Intelligence Systems (FedCSIS), 2025 20th Conference on Type: main |
| ResultId | 1 |