Plataforma NetFPGA para la clasificación de tráfico de red

La clasificación de tráfico es una tecnología que requiere la implementación de técnicas con el fin de mejorar la seguridad, el rendimiento, la prioridad y la funcionalidad de las redes. Con el crecimiento del internet, este tema ha sido objeto de estudio en los últimos años. Este artículo presenta...

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Autores:
Parra Sánchez, Diana Teresa
Manrique Hernández, Johana Andrea
Guerrero, Cesar D.
Calderón Benavides, Maritza Liliana
Tipo de recurso:
http://purl.org/coar/resource_type/c_f744
Fecha de publicación:
2014
Institución:
Universidad Autónoma de Bucaramanga - UNAB
Repositorio:
Repositorio UNAB
Idioma:
spa
OAI Identifier:
oai:repository.unab.edu.co:20.500.12749/12355
Acceso en línea:
http://hdl.handle.net/20.500.12749/12355
Palabra clave:
Data Mining
NetFPGA
Traffic classification
Engineering in Computer Science
Document management
Education
Business
Engineering education
Ingeniería en ciencias de la computación
Gestión de documentos
Educación
Empresa
Educación en ingeniería
Clasificación de tráfico
NetFPGA
Minería de datos
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
id UNAB2_6334344495149a498630e5acfa9c8190
oai_identifier_str oai:repository.unab.edu.co:20.500.12749/12355
network_acronym_str UNAB2
network_name_str Repositorio UNAB
repository_id_str
dc.title.spa.fl_str_mv Plataforma NetFPGA para la clasificación de tráfico de red
dc.title.translated.spa.fl_str_mv NetFPGA platform for network traffic classification
title Plataforma NetFPGA para la clasificación de tráfico de red
spellingShingle Plataforma NetFPGA para la clasificación de tráfico de red
Data Mining
NetFPGA
Traffic classification
Engineering in Computer Science
Document management
Education
Business
Engineering education
Ingeniería en ciencias de la computación
Gestión de documentos
Educación
Empresa
Educación en ingeniería
Clasificación de tráfico
NetFPGA
Minería de datos
title_short Plataforma NetFPGA para la clasificación de tráfico de red
title_full Plataforma NetFPGA para la clasificación de tráfico de red
title_fullStr Plataforma NetFPGA para la clasificación de tráfico de red
title_full_unstemmed Plataforma NetFPGA para la clasificación de tráfico de red
title_sort Plataforma NetFPGA para la clasificación de tráfico de red
dc.creator.fl_str_mv Parra Sánchez, Diana Teresa
Manrique Hernández, Johana Andrea
Guerrero, Cesar D.
Calderón Benavides, Maritza Liliana
dc.contributor.advisor.spa.fl_str_mv Briceño Pineda, Wilson
Parra Valencia, Jorge Andrick
dc.contributor.author.spa.fl_str_mv Parra Sánchez, Diana Teresa
Manrique Hernández, Johana Andrea
Guerrero, Cesar D.
Calderón Benavides, Maritza Liliana
dc.contributor.cvlac.spa.fl_str_mv Briceño Pineda, Wilson [0000457280]
Parra Valencia, Jorge Andrick [0000160326]
Parra Sánchez, Diana Teresa [0001476224]
Guerrero, Cesar D. [0000809357]
Calderón Benavides, Maritza Liliana [0000068900]
dc.contributor.cvlac.none.fl_str_mv Manrique Hernández, Johana Andrea [0001473387]
dc.contributor.googlescholar.spa.fl_str_mv Parra Valencia, Jorge Andrick [O7IQH-AAAAAJ]
Parra Sánchez, Diana Teresa [oxohr6EAAAAJ]
Guerrero, Cesar D. [_YgBOOcAAAAJ]
dc.contributor.orcid.spa.fl_str_mv Briceño Pineda, Wilson [0000-0003-3194-6758]
Parra Valencia, Jorge Andrick [0000-0002-2060-6419]
Parra Sánchez, Diana Teresa [0000-0002-7649-0849]
Calderón Benavides, Maritza Liliana [0000-0001-8658-9036]
Guerrero, Cesar D. [0000-0002-3286-6226]
dc.contributor.scopus.*.fl_str_mv https://www-scopus-com.aure.unab.edu.co/authid/detail.uri?authorId=15043558200
https://www.scopus.com/authid/detail.uri?authorId=57194112517
dc.contributor.scopus.spa.fl_str_mv Guerrero, Cesar D. [23094317500]
dc.contributor.scopus.none.fl_str_mv Calderón Benavides, Maritza Liliana [15043558200]
dc.contributor.researchgate.spa.fl_str_mv Briceño Pineda, Wilson [Wilson-Briceno-2]
Parra Valencia, Jorge Andrick [Jorge-Parra-Valencia]
Parra Sánchez, Diana Teresa [Diana-Parra-Sanchez-2]
Calderón Benavides, Maritza Liliana [Liliana-Calderon-Benavides]
Guerrero, Cesar D. [Cesar-Guerrero-2]
dc.contributor.publons.spa.fl_str_mv Guerrero, Cesar D. [cesar-d-guerrero]
dc.contributor.apolounab.none.fl_str_mv Calderón Benavides, Maritza Liliana [maritza-liliana-calderón-benavides]
dc.contributor.linkedin.none.fl_str_mv Guerrero, Cesar D. [cguerrer]
Calderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]
Calderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]
dc.subject.keywords.eng.fl_str_mv Data Mining
NetFPGA
Traffic classification
Engineering in Computer Science
Document management
Education
Business
Engineering education
topic Data Mining
NetFPGA
Traffic classification
Engineering in Computer Science
Document management
Education
Business
Engineering education
Ingeniería en ciencias de la computación
Gestión de documentos
Educación
Empresa
Educación en ingeniería
Clasificación de tráfico
NetFPGA
Minería de datos
dc.subject.lemb.spa.fl_str_mv Ingeniería en ciencias de la computación
Gestión de documentos
Educación
Empresa
Educación en ingeniería
dc.subject.proposal.spa.fl_str_mv Clasificación de tráfico
NetFPGA
Minería de datos
description La clasificación de tráfico es una tecnología que requiere la implementación de técnicas con el fin de mejorar la seguridad, el rendimiento, la prioridad y la funcionalidad de las redes. Con el crecimiento del internet, este tema ha sido objeto de estudio en los últimos años. Este artículo presenta una revisión de las técnicas más usadas para la clasificación de tráfico en las redes. Además, se presenta la tarjeta NetFPGA como una plataforma abierta para el desarrollo de dispositivos de red que junto a las técnicas de clasificación de tráfico contribuyen a la mejora del rendimiento de la red.
publishDate 2014
dc.date.issued.none.fl_str_mv 2014-10-28
dc.date.accessioned.none.fl_str_mv 2021-03-03T12:57:49Z
dc.date.available.none.fl_str_mv 2021-03-03T12:57:49Z
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dc.type.local.spa.fl_str_mv Memoria de eventos
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dc.identifier.isbn.none.fl_str_mv ISBN: 978-958-8166-65-0
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dc.identifier.instname.spa.fl_str_mv instname:Universidad Autónoma de Bucaramanga - UNAB
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional UNAB
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identifier_str_mv ISBN: 978-958-8166-65-0
instname:Universidad Autónoma de Bucaramanga - UNAB
reponame:Repositorio Institucional UNAB
repourl:https://repository.unab.edu.co
url http://hdl.handle.net/20.500.12749/12355
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.uri.none.fl_str_mv http://hdl.handle.net/20.500.12749/12263
dc.relation.references.spa.fl_str_mv A. Dainotti, A. Pescape, and K. Claffy, “Issues and Future Directions in Traffic Classification,” Netwrk. Mag. Glob. Internetwkg., vol. 26, no. 1, pp. 35–40, 2012.
A. W. Moore and K. Papagiannaki, “Toward the Accurate Identification of Network Applications,” in Proceedings of the 6th International Conference on Passive and Active Network Measurement, 2005, pp. 41–54.
K. Singh, S. Agrawal, and B. S. Sohi, “A Near Real-time IP Traffic Classification Using Machine Learning,” Int. J. Intell. Syst., vol. 5, 2013.
T. Karagiannis, K. Papagiannaki, and M. Faloutsos, “BLINC: Multilevel Traffic Classification in the Dark,” SIGCOMM Comput. Commun. Rev., vol. 35, no. 4, pp. 229–240, 2005
S. Zander, T. Nguyen, and G. Armitage, “Automated Traffic Classification and Application Identification Using Machine Learning,” in Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary, 2005, pp. 250–257
D. Tong, L. Sun, K. Matam, and V. Prasanna, “High throughput and programmable online trafficclassifier on FPGA,” in ACM/SIGDA International Symposium on Field Programmable Gate Arrays - FPGA, 2013, pp. 255–264.
P. Varga, I. Moldován, D. Horváth, and S. Plósz, “A Low Power, Programmable Networking Platform and Development Environment,” in Advances in Network-Embedded Management and Applications SE - 2, A. Clemm and R. Wolter, Eds. Springer US, 2011, pp. 19–36.
CISCO, “Cisco Systems, Inc,” 2014. [Online]. Available: http://www.cisco.com.
3COM, “L-3 Communications,” 2014. [Online]. Available: http://www.l-3com.com. [Accessed: 24-Aug-1BC].
JUNIPER, “Juniper Networks - Networks Security & Performance,” 2014. [Online]. Available: www.juniper.net. [Accessed: 24-Aug1BC].
G. Watson, N. McKeown, and M. Casado, “NetFPGA: A tool for network research and education,” in 2nd workshop on Architectural Research using FPGA Platforms (WARFP), 2006, vol. 3.
S. Sen, O. Spatscheck, and D. Wang, “Accurate, Scalable Innetwork Identification of P2P Traffic Using Application Signatures,” in Proceedings of the 13th International Conference on World Wide Web, 2004, pp. 512–521
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “The KDD Process for Extracting Useful Knowledge from Volumes of Data,” Commun. ACM, vol. 39, no. 11, pp. 27–34, 1996.
N. Williams, S. Zander, and G. Armitage, “A Preliminary Performance Comparison of Five Machine Learning Algorithms for Practical IP Traffic Flow Classification,” SIGCOMM Comput. Commun. Rev., vol. 36, no. 5, pp. 5–16, 2006
R. Alshammari and A. N. Zincir-Heywood, “Machine Learning Based Encrypted Traffic Classification: Identifying SSH and Skype,” in Proceedings of the Second IEEE International Conference on Computational Intelligence for Security and Defense Applications, 2009, pp. 289–296.
Y. Wang and S. Yu, “Supervised learning real-time traffic classifiers,” J. Networks, vol. 4, no. 7, pp. 622–629, 2009.
G. Gibb, J. W. Lockwood, N. McKeown, P. Hartke, and J. Naous, “NetFPGA--An Open Platform for Gigabit-Rate Network Switching and Routing,” in Microelectronic Systems Education, 2007. MSE ’07. IEEE International Conference on, 2007, pp. 160–161.
G. A. Covington, G. Gibb, J. Naous, J. W. Lockwood, and N. McKeown, “Encouraging reusable network hardware design,” in Microelectronic Systems Education, 2009. MSE ’09. IEEE International Conference on, 2009, pp. 29–32.
G. Antichi, S. Giordano, D. J. Miller, and A. W. Moore, “Enabling open-source high speed network monitoring on NetFPGA,” in Network Operations and Management Symposium (NOMS), 2012 IEEE, 2012, pp. 1029–1035.
G. A. Covington, G. Gibb, J. W. Lockwood, and N. Mckeown, “A Packet Generator on the NetFPGA Platform,” in Proceedings of the 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines, 2009, pp. 235–238.
N. Beheshti, J. Naous, Y. Ganjali, and N. McKeown, “Experimenting with Buffer Sizes in Routers,” in Proceedings of the 3rd ACM/IEEE Symposium on Architecture for Networking and Communications Systems, 2007, pp. 41–42.
Z. Zhou, L. Cong, G. Lu, B. Deng, and X. Li, “HATS: High Accuracy Timestamping System Based on NetFPGA,” in Proceedings of the 2010 International Conference on Advances in Computer Science and Information Technology, 2010, pp. 183– 195.
J. Naous, D. Erickson, G. A. Covington, G. Appenzeller, and N. McKeown, “Implementing an OpenFlow Switch on the NetFPGA Platform,” in Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2008, pp. 1–9.
A. Monemi, R. Zarei, M. Marsono, and M. Khalil-Hani, “Parameterizable Decision Tree Classifier on NetFPGA,” in Intelligent Informatics SE - 14, vol. 182, A. Abraham and S. M. Thampi, Eds. Springer Berlin Heidelberg, 2013, pp. 119–128.
A. Monemi, R. Zarei, and M. N. Marsono, “Online NetFPGA decision tree statistical traffic classifier,” Comput. Commun., vol. 36, no. 12, pp. 1329–1340, Jul. 2013
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.coverage.spatial.spa.fl_str_mv Bucaramanga (Santander, Colombia)
dc.coverage.temporal.spa.fl_str_mv 2014
dc.publisher.grantor.spa.fl_str_mv Universidad Autónoma de Bucaramanga UNAB
dc.publisher.faculty.spa.fl_str_mv Facultad Ingeniería
dc.publisher.program.spa.fl_str_mv Pregrado Ingeniería de Sistemas
dc.source.none.fl_str_mv Colección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014
Colección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014; Volumen 1 (2014); páginas 143-147
institution Universidad Autónoma de Bucaramanga - UNAB
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spelling Briceño Pineda, Wilsonc6c0c2cf-6f0a-4dfa-b04b-abec1b5e1c29Parra Valencia, Jorge Andrick05fbe604-e90c-4bc7-8d3a-b1b38e324d23Parra Sánchez, Diana Teresa9adde64d-8638-4d58-ada6-2a805e103647Manrique Hernández, Johana Andrea22b06d99-9e9c-4a4c-bb02-39e60bfeca45Guerrero, Cesar D.9c0a93f5-c5da-4ef7-9523-8823361bab66Calderón Benavides, Maritza Lilianad9c8fa25-713e-467d-969e-a9ee7fa56a36Briceño Pineda, Wilson [0000457280]Parra Valencia, Jorge Andrick [0000160326]Parra Sánchez, Diana Teresa [0001476224]Guerrero, Cesar D. [0000809357]Calderón Benavides, Maritza Liliana [0000068900]Manrique Hernández, Johana Andrea [0001473387]Parra Valencia, Jorge Andrick [O7IQH-AAAAAJ]Parra Sánchez, Diana Teresa [oxohr6EAAAAJ]Guerrero, Cesar D. [_YgBOOcAAAAJ]Briceño Pineda, Wilson [0000-0003-3194-6758]Parra Valencia, Jorge Andrick [0000-0002-2060-6419]Parra Sánchez, Diana Teresa [0000-0002-7649-0849]Calderón Benavides, Maritza Liliana [0000-0001-8658-9036]Guerrero, Cesar D. [0000-0002-3286-6226]https://www-scopus-com.aure.unab.edu.co/authid/detail.uri?authorId=15043558200https://www.scopus.com/authid/detail.uri?authorId=57194112517Guerrero, Cesar D. [23094317500]Calderón Benavides, Maritza Liliana [15043558200]Briceño Pineda, Wilson [Wilson-Briceno-2]Parra Valencia, Jorge Andrick [Jorge-Parra-Valencia]Parra Sánchez, Diana Teresa [Diana-Parra-Sanchez-2]Calderón Benavides, Maritza Liliana [Liliana-Calderon-Benavides]Guerrero, Cesar D. [Cesar-Guerrero-2]Guerrero, Cesar D. [cesar-d-guerrero]Calderón Benavides, Maritza Liliana [maritza-liliana-calderón-benavides]Guerrero, Cesar D. [cguerrer]Calderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]Calderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]Bucaramanga (Santander, Colombia)20142021-03-03T12:57:49Z2021-03-03T12:57:49Z2014-10-28ISBN: 978-958-8166-65-0http://hdl.handle.net/20.500.12749/12355instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coLa clasificación de tráfico es una tecnología que requiere la implementación de técnicas con el fin de mejorar la seguridad, el rendimiento, la prioridad y la funcionalidad de las redes. Con el crecimiento del internet, este tema ha sido objeto de estudio en los últimos años. Este artículo presenta una revisión de las técnicas más usadas para la clasificación de tráfico en las redes. Además, se presenta la tarjeta NetFPGA como una plataforma abierta para el desarrollo de dispositivos de red que junto a las técnicas de clasificación de tráfico contribuyen a la mejora del rendimiento de la red.Traffic classification is a technology that requires the implementation of specialized techniques in order to improve security, performance, priority and functionality of networks. With Internet growth, traffic classification has been subject of study over the last few years. This paper presents a review of techniques most used for traffic network classification. In addition, we present the NetFPGA card as an open platform for development of network devices that together with traffic classification techniques contribute to the improvement of network performance.application/pdfspahttp://hdl.handle.net/20.500.12749/12263A. Dainotti, A. Pescape, and K. Claffy, “Issues and Future Directions in Traffic Classification,” Netwrk. Mag. Glob. Internetwkg., vol. 26, no. 1, pp. 35–40, 2012.A. W. Moore and K. Papagiannaki, “Toward the Accurate Identification of Network Applications,” in Proceedings of the 6th International Conference on Passive and Active Network Measurement, 2005, pp. 41–54.K. Singh, S. Agrawal, and B. S. Sohi, “A Near Real-time IP Traffic Classification Using Machine Learning,” Int. J. Intell. Syst., vol. 5, 2013.T. Karagiannis, K. Papagiannaki, and M. Faloutsos, “BLINC: Multilevel Traffic Classification in the Dark,” SIGCOMM Comput. Commun. Rev., vol. 35, no. 4, pp. 229–240, 2005S. Zander, T. Nguyen, and G. Armitage, “Automated Traffic Classification and Application Identification Using Machine Learning,” in Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary, 2005, pp. 250–257D. Tong, L. Sun, K. Matam, and V. Prasanna, “High throughput and programmable online trafficclassifier on FPGA,” in ACM/SIGDA International Symposium on Field Programmable Gate Arrays - FPGA, 2013, pp. 255–264.P. Varga, I. Moldován, D. Horváth, and S. Plósz, “A Low Power, Programmable Networking Platform and Development Environment,” in Advances in Network-Embedded Management and Applications SE - 2, A. Clemm and R. Wolter, Eds. Springer US, 2011, pp. 19–36.CISCO, “Cisco Systems, Inc,” 2014. [Online]. Available: http://www.cisco.com.3COM, “L-3 Communications,” 2014. [Online]. Available: http://www.l-3com.com. [Accessed: 24-Aug-1BC].JUNIPER, “Juniper Networks - Networks Security & Performance,” 2014. [Online]. Available: www.juniper.net. [Accessed: 24-Aug1BC].G. Watson, N. McKeown, and M. Casado, “NetFPGA: A tool for network research and education,” in 2nd workshop on Architectural Research using FPGA Platforms (WARFP), 2006, vol. 3.S. Sen, O. Spatscheck, and D. Wang, “Accurate, Scalable Innetwork Identification of P2P Traffic Using Application Signatures,” in Proceedings of the 13th International Conference on World Wide Web, 2004, pp. 512–521U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “The KDD Process for Extracting Useful Knowledge from Volumes of Data,” Commun. ACM, vol. 39, no. 11, pp. 27–34, 1996.N. Williams, S. Zander, and G. Armitage, “A Preliminary Performance Comparison of Five Machine Learning Algorithms for Practical IP Traffic Flow Classification,” SIGCOMM Comput. Commun. Rev., vol. 36, no. 5, pp. 5–16, 2006R. Alshammari and A. N. Zincir-Heywood, “Machine Learning Based Encrypted Traffic Classification: Identifying SSH and Skype,” in Proceedings of the Second IEEE International Conference on Computational Intelligence for Security and Defense Applications, 2009, pp. 289–296.Y. Wang and S. Yu, “Supervised learning real-time traffic classifiers,” J. Networks, vol. 4, no. 7, pp. 622–629, 2009.G. Gibb, J. W. Lockwood, N. McKeown, P. Hartke, and J. Naous, “NetFPGA--An Open Platform for Gigabit-Rate Network Switching and Routing,” in Microelectronic Systems Education, 2007. MSE ’07. IEEE International Conference on, 2007, pp. 160–161.G. A. Covington, G. Gibb, J. Naous, J. W. Lockwood, and N. McKeown, “Encouraging reusable network hardware design,” in Microelectronic Systems Education, 2009. MSE ’09. IEEE International Conference on, 2009, pp. 29–32.G. Antichi, S. Giordano, D. J. Miller, and A. W. Moore, “Enabling open-source high speed network monitoring on NetFPGA,” in Network Operations and Management Symposium (NOMS), 2012 IEEE, 2012, pp. 1029–1035.G. A. Covington, G. Gibb, J. W. Lockwood, and N. Mckeown, “A Packet Generator on the NetFPGA Platform,” in Proceedings of the 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines, 2009, pp. 235–238.N. Beheshti, J. Naous, Y. Ganjali, and N. McKeown, “Experimenting with Buffer Sizes in Routers,” in Proceedings of the 3rd ACM/IEEE Symposium on Architecture for Networking and Communications Systems, 2007, pp. 41–42.Z. Zhou, L. Cong, G. Lu, B. Deng, and X. Li, “HATS: High Accuracy Timestamping System Based on NetFPGA,” in Proceedings of the 2010 International Conference on Advances in Computer Science and Information Technology, 2010, pp. 183– 195.J. Naous, D. Erickson, G. A. Covington, G. Appenzeller, and N. McKeown, “Implementing an OpenFlow Switch on the NetFPGA Platform,” in Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2008, pp. 1–9.A. Monemi, R. Zarei, M. Marsono, and M. Khalil-Hani, “Parameterizable Decision Tree Classifier on NetFPGA,” in Intelligent Informatics SE - 14, vol. 182, A. Abraham and S. M. Thampi, Eds. Springer Berlin Heidelberg, 2013, pp. 119–128.A. Monemi, R. Zarei, and M. N. Marsono, “Online NetFPGA decision tree statistical traffic classifier,” Comput. Commun., vol. 36, no. 12, pp. 1329–1340, Jul. 2013http://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 2.5 ColombiaColección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014Colección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014; Volumen 1 (2014); páginas 143-147Plataforma NetFPGA para la clasificación de tráfico de redNetFPGA platform for network traffic classificationUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería de Sistemasinfo:eu-repo/semantics/conferenceProceedingsMemoria de eventoshttp://purl.org/coar/resource_type/c_f744http://purl.org/redcol/resource_type/EC_ACData MiningNetFPGATraffic classificationEngineering in Computer ScienceDocument managementEducationBusinessEngineering educationIngeniería en ciencias de la computaciónGestión de documentosEducaciónEmpresaEducación en ingenieríaClasificación de tráficoNetFPGAMinería de datosORIGINAL2014_CIINATIC_capitulo18.pdf2014_CIINATIC_capitulo18.pdfCapítulo de libroapplication/pdf342772https://repository.unab.edu.co/bitstream/20.500.12749/12355/1/2014_CIINATIC_capitulo18.pdf9b8431741d3f6891ab07a76a718e438dMD51open accessTHUMBNAIL2014_CIINATIC_capitulo18.pdf.jpg2014_CIINATIC_capitulo18.pdf.jpgIM Thumbnailimage/jpeg11752https://repository.unab.edu.co/bitstream/20.500.12749/12355/3/2014_CIINATIC_capitulo18.pdf.jpge8a3bfc1eff37aca6fec8b9a35276540MD53open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repository.unab.edu.co/bitstream/20.500.12749/12355/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52open access20.500.12749/12355oai:repository.unab.edu.co:20.500.12749/123552024-10-16 13:45:48.479open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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