Zobrazeno 1 - 10
of 56
pro vyhledávání: '"José Everardo Bessa Maia"'
Autor:
José Everardo Bessa Maia
Publikováno v:
Revista Tecnologia, Vol 5, Iss 1 (2010)
Externí odkaz:
https://doaj.org/article/edecfa11e00140c58483ac5389ad16dc
Publikováno v:
Revista Tecnologia, Vol 27, Iss 2 (2009)
O comportamento do tráfego em backbones de redes está constantemente sendo alterado devido a altas demandas requeridas por um determinado serviço, ataques à rede, surgimento de novos serviços, entre outros. Embora a caracterização e classifica
Externí odkaz:
https://doaj.org/article/d137ff44f9e34e409f17b55b0ad597ab
Publikováno v:
Revista Tecnologia, Vol 28, Iss 1 (2009)
Ataques representam uma séria ameaça ao ambiente computacional em rede e, portanto, precisam ser prontamente detectados. Novos tipos de ataque, os quais os sistemas de detecção não estão cientes, são os mais difíceis de detectar. Atualmente
Externí odkaz:
https://doaj.org/article/d37525fbdf2f4fa6a3a66b3ae822e67e
Publikováno v:
Revista Tecnologia, Vol 28, Iss 1 (2009)
Attacks represent a serious threat to a network environment, and therefore need to be promptly detected. New attack types, of which detection systems may not even be aware, are the most difficult to detect. Currently, the available methods are mainly
Externí odkaz:
https://doaj.org/article/16352ab4c11f46acaa7ad9cd3bbe10d3
Publikováno v:
Revista Tecnologia, Vol 27, Iss 2 (2009)
Network traffic behavior is constantly changing due to issues as high service demand on a given service, network attacks, emergence of new services, among others. Although network traffic characterization and classification is a well-known task, it m
Externí odkaz:
https://doaj.org/article/7cb4023324fd4bada3b2c66e3530dea0
Publikováno v:
Journal of the Brazilian Computer Society. 28:69-79
Deep features have outgrown hand-sketched features in many applications. The availability of pre-trained deep feature extractors helps to overcome one of the deep learning main drawbacks, which is the need for large volumes of data for training. Mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85df5c1b4f207ff05e2bed17ad92ce5e
https://doi.org/10.5753/jbcs.2022.2194
https://doi.org/10.5753/jbcs.2022.2194
Publikováno v:
International Journal of Computer Applications. 183:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::babf2f5573032139d77213f1b94f3655
https://doi.org/10.5120/ijca2021921621
https://doi.org/10.5120/ijca2021921621
Publikováno v:
Journal of Digital Information Management. 19:41-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee470d9b468032c33d84a2ed822a2b8
https://doi.org/10.6025/jdim/2021/19/2/41-46
https://doi.org/10.6025/jdim/2021/19/2/41-46
Publikováno v:
International Journal of Computer Applications. 183:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4aef1c262f8cc8b1be166e88d94722e
https://doi.org/10.5120/ijca2021921288
https://doi.org/10.5120/ijca2021921288
Autor:
José Everardo Bessa Maia, Mauro Conti Pereira, Fernando Silveira Madani, Afonso Celso Del Nero Gomes, Max H. de Queiroz
Publikováno v:
IEEE Transactions on Education. 64:124-132
ENADE that stands, in Portuguese, for “National Exam of Student Performance” is an exam for all senior students about to graduate; it is one of the official tools for measuring the state of undergraduate courses in Brazil. Contribution: This arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0a38ef76b48baa574fd2c64b1bcea72
https://doi.org/10.1109/te.2020.3015142
https://doi.org/10.1109/te.2020.3015142