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A comprehensive hybrid deep learning approach for effective intrusion detection in automotive ethernet systems.

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Title: A comprehensive hybrid deep learning approach for effective intrusion detection in automotive ethernet systems.
Authors: Jyothsna, V.1 (AUTHOR) jyothsna1684@gmail.com, Pasupuleti, Madhusudhan2 (AUTHOR) pmadhusudhanit@gmail.com, Pappireddy, Geethananda Reddy2 (AUTHOR) pappireddy8688@gmail.com, Palapati, Deepak Kumar Reddy2 (AUTHOR) palapatideepak@gmail.com, Palthe, Ravi Naik2 (AUTHOR) ravinaikn623@gmail.com, Srilakshmi, K.3 (AUTHOR) srilakshmi21kakarla@gmail.com
Source: AIP Conference Proceedings. 2026, Vol. 3371 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192930763
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
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  Data: A comprehensive hybrid deep learning approach for effective intrusion detection in automotive ethernet systems.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2026, Vol. 3371 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192930763
RecordInfo BibRecord:
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        Value: 10.1063/5.0312142
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: A comprehensive hybrid deep learning approach for effective intrusion detection in automotive ethernet systems.
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            NameFull: Jyothsna, V.
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            NameFull: Pasupuleti, Madhusudhan
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            NameFull: Palapati, Deepak Kumar Reddy
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            NameFull: Palthe, Ravi Naik
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              Text: 2026
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              Y: 2026
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