Few-Shot Open-Set Ransomware Detection Through Meta-Learning and Energy-Based Modeling.
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| Title: | Few-Shot Open-Set Ransomware Detection Through Meta-Learning and Energy-Based Modeling. |
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| Authors: | Fan, Yun-Yi1, Chiang, Cheng-Yu1,2, Lee, Jung-San1,2, leejs@fcu.edu.tw |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2364, 27p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192636142 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Few-Shot Open-Set Ransomware Detection Through Meta-Learning and Energy-Based Modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fan%2C+Yun-Yi%22">Fan, Yun-Yi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chiang%2C+Cheng-Yu%22">Chiang, Cheng-Yu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Lee%2C+Jung-San%22">Lee, Jung-San</searchLink><relatesTo>1,2</relatesTo>, <i>leejs@fcu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Mar2026, Vol. 16 Issue 5, p2364, 27p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192636142 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16052364 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 2364 Titles: – TitleFull: Few-Shot Open-Set Ransomware Detection Through Meta-Learning and Energy-Based Modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fan, Yun-Yi – PersonEntity: Name: NameFull: Chiang, Cheng-Yu – PersonEntity: Name: NameFull: Lee, Jung-San IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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