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Artigo de periodico
ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics (2024)
Santos, Hericson dos ; Martins, Tiago dos Santos ; Barreto, Jorge Andre Domingues ; Nakamura, Luis Hideo Vasconcelos ; Ranieri, Caetano Mazzoni ; Grande, Robson Eduardo de ; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito
Source: IEEE Access. Unidade: ICMC
Subjects: CRIME POR COMPUTADOR, PRÁTICA FORENSE, RECONHECIMENTO DE IMAGEM, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Hericson dos et al. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics. IEEE Access, v. 12, p. 104611-104628, 2024Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2024.3435027. Acesso em: 17 nov. 2024.
APA
Santos, H. dos, Martins, T. dos S., Barreto, J. A. D., Nakamura, L. H. V., Ranieri, C. M., Grande, R. E. de, et al. (2024). ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics. IEEE Access, 12, 104611-104628. doi:10.1109/ACCESS.2024.3435027
NLM
Santos H dos, Martins T dos S, Barreto JAD, Nakamura LHV, Ranieri CM, Grande RE de, Rocha Filho GP, Meneguette RI. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics [Internet]. IEEE Access. 2024 ; 12 104611-104628.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2024.3435027
Vancouver
Santos H dos, Martins T dos S, Barreto JAD, Nakamura LHV, Ranieri CM, Grande RE de, Rocha Filho GP, Meneguette RI. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics [Internet]. IEEE Access. 2024 ; 12 104611-104628.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2024.3435027
Trabalho de evento
Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection (2023)
Josephik, João Gabriel Andrade de Araújo ; Siqueira, Yaissa; Machado, Kétly Gonçalves ; Terada, Routo ; Santos, Aldri Luiz Dos ; Nogueira, Michele ; Batista, Daniel Macêdo
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: INTERNET DAS COISAS, CRIME POR COMPUTADOR, SOFTWARE LIVRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JOSEPHIK, João Gabriel Andrade de Araújo et al. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LATINCOM59467.2023.10361862. Acesso em: 17 nov. 2024.
APA
Josephik, J. G. A. de A., Siqueira, Y., Machado, K. G., Terada, R., Santos, A. L. D., Nogueira, M., & Batista, D. M. (2023). Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM59467.2023.10361862
NLM
Josephik JGA de A, Siqueira Y, Machado KG, Terada R, Santos ALD, Nogueira M, Batista DM. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection [Internet]. Proceedings. 2023 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/LATINCOM59467.2023.10361862
Vancouver
Josephik JGA de A, Siqueira Y, Machado KG, Terada R, Santos ALD, Nogueira M, Batista DM. Applying Hoeffding tree algorithms for effective stream learning in IoT DDoS detection [Internet]. Proceedings. 2023 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/LATINCOM59467.2023.10361862
Trabalho de evento
AnubisFlow: a feature extractor for distributed denial of service attack classification (2021)
Barzilay, Alan ; Martinelli, Caio Lorenzetti; Nogueira, Michele ; Batista, Daniel Macêdo ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: International Conference on Network of the Future - NoF. Unidade: IME
Subjects: MODELOS ANALÍTICOS, CRIME POR COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARZILAY, Alan et al. AnubisFlow: a feature extractor for distributed denial of service attack classification. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/NoF52522.2021.9609918. Acesso em: 17 nov. 2024.
APA
Barzilay, A., Martinelli, C. L., Nogueira, M., Batista, D. M., & Hirata Júnior, R. (2021). AnubisFlow: a feature extractor for distributed denial of service attack classification. In Proceedings. Piscataway: IEEE. doi:10.1109/NoF52522.2021.9609918
NLM
Barzilay A, Martinelli CL, Nogueira M, Batista DM, Hirata Júnior R. AnubisFlow: a feature extractor for distributed denial of service attack classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609918
Vancouver
Barzilay A, Martinelli CL, Nogueira M, Batista DM, Hirata Júnior R. AnubisFlow: a feature extractor for distributed denial of service attack classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609918

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