Robust Malware Family Classification Using Effective Features and Classifiers.
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| Title: | Robust Malware Family Classification Using Effective Features and Classifiers. |
|---|---|
| Authors: | Hammad, Baraa Tareq1, Jamil, Norziana2, Ahmed, Ismail Taha1, Zain, Zuhaira Muhammad3, Basheer, Shakila3, sbbasheer@pnu.edu.sa |
| Source: | Applied Sciences (2076-3417); Aug2022, Vol. 12 Issue 15, p7877-7877, 22p |
| 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: 158523088 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app12157877 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 7877 Titles: – TitleFull: Robust Malware Family Classification Using Effective Features and Classifiers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hammad, Baraa Tareq – PersonEntity: Name: NameFull: Jamil, Norziana – PersonEntity: Name: NameFull: Ahmed, Ismail Taha – PersonEntity: Name: NameFull: Zain, Zuhaira Muhammad – PersonEntity: Name: NameFull: Basheer, Shakila IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 12 – Type: issue Value: 15 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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