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JACLNet:Application of adaptive code length network in JavaScript malicious code detection
Currently, JavaScript malicious code detection methods are becoming more and more effective. Still, the existing methods based on deep learning are poor at detecting too long or too short JavaScript code. Based on this, this paper proposes an adaptive code length deep learning network JACLNet, compo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749972/ https://www.ncbi.nlm.nih.gov/pubmed/36516186 http://dx.doi.org/10.1371/journal.pone.0277891 |