FORTUNATE: Decrypting and classifying malware by variable length instruction sequences (2024)
- Authors:
- Autor USP: MENEGUETTE, RODOLFO IPOLITO - ICMC
- Unidade: ICMC
- DOI: 10.1109/CLOUDNET62863.2024.10815801
- Subjects: EFICIÊNCIA DE SOFTWARE; PROCESSAMENTO DE LINGUAGEM NATURAL; VÍRUS E ANTIVÍRUS DE COMPUTADOR
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: Proceedings
- ISSN: 2771-5663
- Conference titles: International Conference on Cloud Networking - CloudNet
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
ANDRADE, Cesar A. B et al. FORTUNATE: Decrypting and classifying malware by variable length instruction sequences. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/CloudNet62863.2024.10815801. Acesso em: 06 maio 2026. -
APA
Andrade, C. A. B., Rocha Filho, G. P., Meneguette, R. I., Maranhão, J. P. A., Sant’Ana, R., Duarte, J. C., et al. (2024). FORTUNATE: Decrypting and classifying malware by variable length instruction sequences. In Proceedings. Piscataway: IEEE. doi:10.1109/CLOUDNET62863.2024.10815801 -
NLM
Andrade CAB, Rocha Filho GP, Meneguette RI, Maranhão JPA, Sant’Ana R, Duarte JC, Serrano ALM, Gonçalves VP. FORTUNATE: Decrypting and classifying malware by variable length instruction sequences [Internet]. Proceedings. 2024 ;[citado 2026 maio 06 ] Available from: https://doi.org/10.1109/CloudNet62863.2024.10815801 -
Vancouver
Andrade CAB, Rocha Filho GP, Meneguette RI, Maranhão JPA, Sant’Ana R, Duarte JC, Serrano ALM, Gonçalves VP. FORTUNATE: Decrypting and classifying malware by variable length instruction sequences [Internet]. Proceedings. 2024 ;[citado 2026 maio 06 ] Available from: https://doi.org/10.1109/CloudNet62863.2024.10815801 - Modelo de um corredor para mobilidade urbana de aeronaves não tripuladas no "eixão" de Brasília
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