Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features.
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| Title: | Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features. |
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| Authors: | Ananbeh, Obieda1, oananbeh@oakland.edu, Alnozami, Wala1, walnozami@oakland.edu |
| Source: | Journal of Computer Virology & Hacking Techniques; 6/1/2026, Vol. 22 Issue 1, p1-21, 21p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194200552 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ananbeh%2C+Obieda%22">Ananbeh, Obieda</searchLink><relatesTo>1</relatesTo>, <i>oananbeh@oakland.edu</i><br /><searchLink fieldCode="AU" term="%22Alnozami%2C+Wala%22">Alnozami, Wala</searchLink><relatesTo>1</relatesTo>, <i>walnozami@oakland.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Virology+%26+Hacking+Techniques%22">Journal of Computer Virology & Hacking Techniques</searchLink>; 6/1/2026, Vol. 22 Issue 1, p1-21, 21p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194200552 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11416-026-00629-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Titles: – TitleFull: Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ananbeh, Obieda – PersonEntity: Name: NameFull: Alnozami, Wala IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 6/1/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22638733 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Journal of Computer Virology & Hacking Techniques Type: main |
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