An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification
| dc.contributor.author | Algarni, Musaad Darwish | |
| dc.contributor.author | Alroobaea, Roobaea | |
| dc.contributor.author | Almotiri, Jasem | |
| dc.contributor.author | Sajid Ullah, Syed | |
| dc.contributor.author | Hussain, Saddam | |
| dc.contributor.author | Umar, Fazlullah | |
| dc.date.accessioned | 2022-11-21T09:21:04Z | |
| dc.date.available | 2022-11-21T09:21:04Z | |
| dc.date.created | 2022-10-27T17:26:48Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Algarni, M. D., Alroobaea, R., Almotiri, J., Sajid Ullah, S., Hussain, S. & Umar, F. (2022). An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification. Wireless Communications & Mobile Computing, Artikkel 4841741. | en_US |
| dc.identifier.issn | 1530-8677 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3033070 | |
| dc.language.iso | eng | en_US |
| dc.publisher | Hindawi | en_US |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification | en_US |
| dc.title.alternative | An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © 2022 The Author(s) | en_US |
| dc.subject.nsi | VDP::Teknologi: 500 | en_US |
| dc.subject.nsi | VDP::Teknologi: 500::Elektrotekniske fag: 540 | en_US |
| dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
| dc.source.volume | 2022 | en_US |
| dc.source.journal | Wireless Communications & Mobile Computing | en_US |
| dc.identifier.doi | https://doi.org/10.1155/2022/4841741 | |
| dc.identifier.cristin | 2065751 | |
| dc.source.articlenumber | 4841741 | en_US |
| cristin.qualitycode | 1 |
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