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.
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
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features.
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  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>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194200552
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        Value: 10.1007/s11416-026-00629-w
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      – Code: eng
        Text: English
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      – TitleFull: Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features.
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            NameFull: Ananbeh, Obieda
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              M: 06
              Text: 6/1/2026
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              Y: 2026
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