| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Código do Detentor | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identificador | 8JMKD3MGPEW34M/43BLG4E | |||
| Repositório | sid.inpe.br/sibgrapi/2020/10.01.17.17 | |||
| Última Atualização | 2020:10.01.17.17.22 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/sibgrapi/2020/10.01.17.17.22 | |||
| Última Atualização dos Metadados | 2022:06.14.00.00.16 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI51738.2020.00042 | |||
| Chave de Citação | MoreiraRodRosAguSil:2020:CoNeNe | |||
| Título | Packet Vision: a convolutional neural network approach for network traffic classification  | |||
| Formato | On-line | |||
| Ano | 2020 | |||
| Data de Acesso | 17 maio 2024 | |||
| Número de Arquivos | 1 | |||
| Tamanho | 6474 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Moreira, Rodrigo 2 Rodrigues, Larissa Ferreira 3 Rosa, Pedro Frosi 4 Aguiar, Rui Luis Andrade 5 Silva, Flávio de Oliveira | |||
| Afiliação | 1 Federal University of Uberlândia - Faculty of Computing (FACOM) 2 Federal University of Viçosa - Institute of Exact and Technological Sciences (IEP) 3 Federal University of Uberlândia - Faculty of Computing (FACOM) 4 University of Aveiro - Telecommunications Institute (IT) 5 Federal University of Uberlândia - Faculty of Computing (FACOM) | |||
| Editor | Musse, Soraia Raupp Cesar Junior, Roberto Marcondes Pelechano, Nuria Wang, Zhangyang (Atlas) | |||
| Endereço de e-Mail | rodrigo.moreira@ufu.br | |||
| Nome do Evento | Conference on Graphics, Patterns and Images, 33 (SIBGRAPI) | |||
| Localização do Evento | Porto de Galinhas (virtual) | |||
| Data | 7-10 Nov. 2020 | |||
| Editora (Publisher) | IEEE Computer Society | |||
| Cidade da Editora | Los Alamitos | |||
| Título do Livro | Proceedings | |||
| Tipo Terciário | Full Paper | |||
| Histórico (UTC) | 2020-10-01 17:17:22 :: rodrigo.moreira@ufu.br -> administrator :: 2022-03-07 03:12:20 :: administrator -> banon :: 2020 2022-03-07 03:13:35 :: banon -> administrator :: 2020 2022-03-08 03:07:31 :: administrator -> banon :: 2020 2022-03-08 03:14:29 :: banon -> administrator :: 2020 2022-06-14 00:00:16 :: administrator -> rodrigo.moreira@ufu.br :: 2020 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo de Versão | finaldraft | |||
| Palavras-Chave | Network traffic classification convolutional neural networks SDN Network Slicing data augmentation fine-tuning | |||
| Resumo | Network traffic classification can improve the management and network service offer, taking into account the kind of application. The future network architectures, mainly mobile networks, foresee intelligent mechanisms in their architectural frameworks to deliver application-aware network requirements. The potential of convolutional neural networks capabilities, widely exploited in several contexts, can be used in network traffic classification. Thus, it is necessary to develop methods based on the content of packets which can transform them into a suitable input for CNN technologies. Hence, we implemented and evaluated the Packet Vision, a method capable of building images from packets raw-data, considering both header and payload. Our approach surpasses those found in the state-of-the-art, considering classification performance and regarding the fully-packet structure characteristic, delivering security and privacy by transforming the raw-data packet into images. Besides, we built a dataset with four traffic classes and evaluated three CNNs architectures, considering performance and the exploitation of training from scratch, fine-tuning and hyperparameter optimization. Experiments showcase applicability and suitability when combining Packet Vision with CNNs, which seemed to be a promising approach to deliver outstanding performance in the classification of network traffic. | |||
| Arranjo 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Packet Vision: a... | |||
| Arranjo 2 | urlib.net > SDLA > Fonds > Full Index > Packet Vision: a... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| URL dos dados | http://urlib.net/ibi/8JMKD3MGPEW34M/43BLG4E | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGPEW34M/43BLG4E | |||
| Idioma | en | |||
| Arquivo Alvo | 17.pdf | |||
| Grupo de Usuários | rodrigo.moreira@ufu.br | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Repositório Espelho | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Unidades Imediatamente Superiores | 8JMKD3MGPEW34M/43G4L9S 8JMKD3MGPEW34M/4742MCS | |||
| Lista de Itens Citando | sid.inpe.br/sibgrapi/2020/10.28.20.46 7 sid.inpe.br/sibgrapi/2022/06.10.21.49 1 | |||
| Acervo Hospedeiro | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | rodrigo.moreira@ufu.br | |||
| atualizar | ||||