Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices: Comprehensive review on machine learning and deep learning techniques...: W. Almobaideen et al.
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| Title: | Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices: Comprehensive review on machine learning and deep learning techniques...: W. Almobaideen et al. |
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| Authors: | Almobaideen, Wesam1,2, wxacad@rit.edu, Abu Alghanam, Orieb2, O.abualganam@ju.edu.jo, Abdullah, Muhammad1, ma9324@g.rit.edu, Hussain, Syed Basit1, sbh7790@g.rit.edu, Alam, Umar1, ua9404@g.rit.edu |
| Source: | International Journal of Information Security; Jun2025, Vol. 24 Issue 3, p1-34, 34p |
| 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: 184357888 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184357888 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10207-025-01027-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 1 Titles: – TitleFull: Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices: Comprehensive review on machine learning and deep learning techniques...: W. Almobaideen et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Almobaideen, Wesam – PersonEntity: Name: NameFull: Abu Alghanam, Orieb – PersonEntity: Name: NameFull: Abdullah, Muhammad – PersonEntity: Name: NameFull: Hussain, Syed Basit – PersonEntity: Name: NameFull: Alam, Umar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16155262 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Information Security Type: main |
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