JACLNet:Application of adaptive code length network in JavaScript malicious code detection.

Zhang, Zhining; Wan, Liang; Chu, Kun; Li, Shusheng; Wei, Haodong; Tang, Lu

Zhang, Zhining; Wan, Liang; Chu, Kun; Li, Shusheng; Wei, Haodong; Tang, Lu.

Afiliación

Zhang Z; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Wan L; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Chu K; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Li S; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Wei H; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Tang L; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.

PLoS One ; 17(12): e0277891, 2022.

Article en En | MEDLINE | ID: mdl-36516186

Asunto(s)

Algoritmos; Seguridad Computacional

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Seguridad Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: China

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