FORTUNATE: Decrypting and classifying malware by variable length instruction sequences (2024)
Source: Proceedings. Conference titles: International Conference on Cloud Networking - CloudNet. Unidade: ICMC
Subjects: EFICIÊNCIA DE SOFTWARE, PROCESSAMENTO DE LINGUAGEM NATURAL, VÍRUS E ANTIVÍRUS DE COMPUTADOR
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: 21 jan. 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/CLOUDNET62863.2024.10815801NLM
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 jan. 21 ] Available from: https://doi.org/10.1109/CloudNet62863.2024.10815801Vancouver
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 jan. 21 ] Available from: https://doi.org/10.1109/CloudNet62863.2024.10815801
