HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps.
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| Title: | HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps. |
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| Authors: | Hamza, Alyaa A.1,2 (AUTHOR) Alyaa.abdou@buc.edu.eg, Abdel Halim, Islam Tharwat3,4 (AUTHOR) ihalim@nu.edu.eg, Sobh, Mohamed A.2 (AUTHOR), Bahaa-Eldin, Ayman M.5 (AUTHOR) ayman.bahaa@eng.asu.edu.eg |
| Source: | Sensors (14248220). Feb2022, Vol. 22 Issue 3, p1079. 1p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 155265364 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s22031079 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 1079 Titles: – TitleFull: HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamza, Alyaa A. – PersonEntity: Name: NameFull: Abdel Halim, Islam Tharwat – PersonEntity: Name: NameFull: Sobh, Mohamed A. – PersonEntity: Name: NameFull: Bahaa-Eldin, Ayman M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 22 – Type: issue Value: 3 Titles: – TitleFull: Sensors (14248220) Type: main |
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