Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Daniel Macedo Batista"'
A Stacked Ensemble Classifier for an Intrusion Detection System in the Edge of IoT and IIoT Networks
Autor:
Giovanni Aparecido Da Silva Oliveira, Priscila Serra Silva Lima, Fabio Kon, Routo Terada, Daniel MaceDo Batista, Roberto Hirata, Mosab Hamdan
Publikováno v:
2022 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a21d12d6b7faa2169da4f614c64cfef
https://doi.org/10.1109/latincom56090.2022.10000559
https://doi.org/10.1109/latincom56090.2022.10000559
Autor:
Erik Miguel de Elias, Vinicius Sanches Carriel, Guilherme Werneck De Oliveira, Aldri Luiz Dos Santos, Michele Nogueira, Roberto Hirata Junior, Daniel Macedo Batista
Publikováno v:
2022 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6480d953085ab883dff5e95e19b3001
https://doi.org/10.1109/latincom56090.2022.10000468
https://doi.org/10.1109/latincom56090.2022.10000468
Publikováno v:
2021 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b955f58824c960920cbcc99c98042b4b
https://doi.org/10.1109/latincom53176.2021.9647850
https://doi.org/10.1109/latincom53176.2021.9647850
Autor:
Guilherme Werneck de Oliveira, Rodrigo Toscano Ney, Juan Luis Herrera, Daniel Macedo Batista, R. Hirata, Jaime Galan-Jimenez, Javier Berrocal, Juan Manuel Murillo, Aldri Luiz Dos Santos, Michele Nogueira
Publikováno v:
2021 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2934c17b2f0e14c38587ceb17001eb7d
https://doi.org/10.1109/latincom53176.2021.9647803
https://doi.org/10.1109/latincom53176.2021.9647803
Publikováno v:
2021 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3544f9373c6634dbea70a2cd5e255878
https://doi.org/10.1109/latincom53176.2021.9647824
https://doi.org/10.1109/latincom53176.2021.9647824
Publikováno v:
NoF
The detection and mitigation of DDoS attacks require a system to analyze and process the incoming network flow in a live capture manner. In this scenario, an efficient analysis depends on a good set of features to classify the traffic. With this goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d2d5194e2a8000a014fd2fa89adcc75
https://doi.org/10.1109/nof52522.2021.9609918
https://doi.org/10.1109/nof52522.2021.9609918
Autor:
Daniel Macedo Batista, Roberto Hirata, Michele Nogueira, Gustavo Vitral Arbex, Ketly Goncalves Machado
Publikováno v:
NoF
The Internet of Things (IoT) represents a new reality, as smart devices spread quickly and a higher number of applications arises. This attracts the attention of not only legitimate users but also attackers aiming to jeopardize the entire IoT infrast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69f480322acee452fb7ba2f6644486cf
https://doi.org/10.1109/nof52522.2021.9609940
https://doi.org/10.1109/nof52522.2021.9609940
Autor:
Daniel Macedo Batista, Henrique Araújo de Carvalho, José Coelho de Pina, Jorge Miguel Ribeiro
Publikováno v:
Anais Estendidos do XXI Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg Estendido 2021).
Um aplicativo de segurança que aumente a privacidade de comunicações deve ter desempenho que garanta a sua usabilidade sem comprometer a reserva de recursos escassos, principalmente em dispositivos móveis. Dentre esses aplicativos, destacam-se aq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::639a874d8dd4bfe72a353ee2696ef831
https://doi.org/10.5753/sbseg_estendido.2021.17357
https://doi.org/10.5753/sbseg_estendido.2021.17357
Publikováno v:
Anais Estendidos do XXI Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg Estendido 2021).
Cross-Site Scripting (XSS) is still a significant threat to web applications. By combining Convolutional Neural Networks (CNN) with Long ShortTerm Memory (LSTM) techniques, researchers have developed a deep learning system called 3C-LSTM that achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006ef1a89d345b118a91086bdef3e670
https://doi.org/10.5753/sbseg_estendido.2021.17333
https://doi.org/10.5753/sbseg_estendido.2021.17333
Publikováno v:
2021 IEEE Symposium on Computers and Communications (ISCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7298f726227de8197321e1cb80285e5
https://doi.org/10.1109/iscc53001.2021.9631520
https://doi.org/10.1109/iscc53001.2021.9631520