Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.

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Bibliographic Details
Title: Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.
Authors: Singh, Priyanka1, Borgohain, Samir Kumar1, Sarkar, Achintya Kumar2, Kumar, Jayendra3, Sharma, Lakhan Dev3
Source: International Journal of Intelligent Systems; 2/20/2023, p1-20, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161985469
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Systems%22">International Journal of Intelligent Systems</searchLink>; 2/20/2023, p1-20, 20p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1155/2023/9544481
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1
    Titles:
      – TitleFull: Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.
        Type: main
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            NameFull: Singh, Priyanka
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            NameFull: Borgohain, Samir Kumar
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            NameFull: Sarkar, Achintya Kumar
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            NameFull: Kumar, Jayendra
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            NameFull: Sharma, Lakhan Dev
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            – D: 20
              M: 02
              Text: 2/20/2023
              Type: published
              Y: 2023
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            – Type: issn-print
              Value: 08848173
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            – TitleFull: International Journal of Intelligent Systems
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