FORENSICS: deciphering and detecting malware through variable-length instruction sequences (2025)
- Authors:
- Autor USP: MENEGUETTE, RODOLFO IPOLITO - ICMC
- Unidade: ICMC
- DOI: 10.5753/jisa.2025.5054
- Subjects: REDES NEURAIS; PROCESSOS COM MEMÓRIA LONGA; PROCESSAMENTO DE LINGUAGEM NATURAL
- Keywords: Malware Detection; Opcode; Recurrent Neural Networks; Cybersecurity
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2025
- Source:
- Título: Journal of Internet Services and Applications
- ISSN: 1869-0238
- Volume/Número/Paginação/Ano: v. 16, n.1, p. 1-16, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ANDRADE, César Augusto Borges de et al. FORENSICS: deciphering and detecting malware through variable-length instruction sequences. Journal of Internet Services and Applications, v. 16, n. 1, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.5753/jisa.2025.5054. Acesso em: 16 fev. 2026. -
APA
Andrade, C. A. B. de, Rocha Filho, G. P., Meneguette, R. I., Sant’Ana, R., Duarte, J. C., Serrano, A. L. M., et al. (2025). FORENSICS: deciphering and detecting malware through variable-length instruction sequences. Journal of Internet Services and Applications, 16( 1), 1-16. doi:10.5753/jisa.2025.5054 -
NLM
Andrade CAB de, Rocha Filho GP, Meneguette RI, Sant’Ana R, Duarte JC, Serrano ALM, Neumann C, Gonçalves V. FORENSICS: deciphering and detecting malware through variable-length instruction sequences [Internet]. Journal of Internet Services and Applications. 2025 ; 16( 1): 1-16.[citado 2026 fev. 16 ] Available from: https://doi.org/10.5753/jisa.2025.5054 -
Vancouver
Andrade CAB de, Rocha Filho GP, Meneguette RI, Sant’Ana R, Duarte JC, Serrano ALM, Neumann C, Gonçalves V. FORENSICS: deciphering and detecting malware through variable-length instruction sequences [Internet]. Journal of Internet Services and Applications. 2025 ; 16( 1): 1-16.[citado 2026 fev. 16 ] Available from: https://doi.org/10.5753/jisa.2025.5054 - Generation of real datasets for network simulation
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Informações sobre o DOI: 10.5753/jisa.2025.5054 (Fonte: oaDOI API)
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