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dc.contributor.advisorBriceño Pineda, Wilsonspa
dc.contributor.advisorParra Valencia, Jorge Andrickspa
dc.contributor.authorParra Sánchez, Diana Teresaspa
dc.contributor.authorManrique Hernández, Johana Andreaspa
dc.contributor.authorGuerrero Santander, César Daríospa
dc.contributor.authorCalderón Benavides, Maritza Lilianaspa
dc.coverage.spatialBucaramanga (Santander, Colombia)spa
dc.coverage.temporal2014spa
dc.date.accessioned2021-03-03T12:57:49Z
dc.date.available2021-03-03T12:57:49Z
dc.date.issued2014-10-28
dc.identifier.isbnISBN: 978-958-8166-65-0
dc.identifier.urihttp://hdl.handle.net/20.500.12749/12355
dc.description.abstractLa 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.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.relation.urihttp://hdl.handle.net/20.500.12749/12263
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.sourceColección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014
dc.sourceColección de investigaciones en innovación y apropiación de las tecnologías de la información y las comunicaciones CIINATIC 2014; Volumen 1 (2014); páginas 143-147
dc.titlePlataforma NetFPGA para la clasificación de tráfico de redspa
dc.title.translatedNetFPGA platform for network traffic classificationspa
dc.publisher.grantorUniversidad Autónoma de Bucaramanga UNABspa
dc.rights.localAbierto (Texto Completo)spa
dc.publisher.facultyFacultad Ingenieríaspa
dc.publisher.programPregrado Ingeniería de Sistemasspa
dc.type.driverinfo:eu-repo/semantics/conferenceProceedings
dc.type.localMemoria de eventosspa
dc.type.coarhttp://purl.org/coar/resource_type/c_f744
dc.subject.keywordsData Miningeng
dc.subject.keywordsNetFPGAeng
dc.subject.keywordsTraffic classificationeng
dc.subject.keywordsEngineering in Computer Scienceeng
dc.subject.keywordsDocument managementeng
dc.subject.keywordsEducationeng
dc.subject.keywordsBusinesseng
dc.subject.keywordsEngineering educationeng
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga - UNABspa
dc.identifier.reponamereponame:Repositorio Institucional UNABspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.relation.referencesA. 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.spa
dc.relation.referencesA. 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.spa
dc.relation.referencesK. Singh, S. Agrawal, and B. S. Sohi, “A Near Real-time IP Traffic Classification Using Machine Learning,” Int. J. Intell. Syst., vol. 5, 2013.spa
dc.relation.referencesT. Karagiannis, K. Papagiannaki, and M. Faloutsos, “BLINC: Multilevel Traffic Classification in the Dark,” SIGCOMM Comput. Commun. Rev., vol. 35, no. 4, pp. 229–240, 2005spa
dc.relation.referencesS. 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. 250–257spa
dc.relation.referencesD. 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.spa
dc.relation.referencesP. 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.spa
dc.relation.referencesCISCO, “Cisco Systems, Inc,” 2014. [Online]. Available: http://www.cisco.com.spa
dc.relation.references3COM, “L-3 Communications,” 2014. [Online]. Available: http://www.l-3com.com. [Accessed: 24-Aug-1BC].spa
dc.relation.referencesJUNIPER, “Juniper Networks - Networks Security & Performance,” 2014. [Online]. Available: www.juniper.net. [Accessed: 24-Aug1BC].spa
dc.relation.referencesG. 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.spa
dc.relation.referencesS. 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. 512–521spa
dc.relation.referencesU. 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.spa
dc.relation.referencesN. 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, 2006spa
dc.relation.referencesR. 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.spa
dc.relation.referencesY. Wang and S. Yu, “Supervised learning real-time traffic classifiers,” J. Networks, vol. 4, no. 7, pp. 622–629, 2009.spa
dc.relation.referencesG. 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.spa
dc.relation.referencesG. 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.spa
dc.relation.referencesG. 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.spa
dc.relation.referencesG. 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.spa
dc.relation.referencesN. 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.spa
dc.relation.referencesZ. 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.spa
dc.relation.referencesJ. 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.spa
dc.relation.referencesA. 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.spa
dc.relation.referencesA. Monemi, R. Zarei, and M. N. Marsono, “Online NetFPGA decision tree statistical traffic classifier,” Comput. Commun., vol. 36, no. 12, pp. 1329–1340, Jul. 2013spa
dc.contributor.cvlacBriceño Pineda, Wilson [0000457280]spa
dc.contributor.cvlacParra Valencia, Jorge Andrick [0000160326]spa
dc.contributor.cvlacParra Sánchez, Diana Teresa [0001476224]spa
dc.contributor.cvlacManrique Hernández, Johana Andrea [0001473387]
dc.contributor.cvlacGuerrero Santander, César Darío [0000809357]spa
dc.contributor.cvlacCalderón Benavides, Maritza Liliana [0000068900]spa
dc.contributor.googlescholarParra Valencia, Jorge Andrick [O7IQH-AAAAAJ]spa
dc.contributor.googlescholarParra Sánchez, Diana Teresa [oxohr6EAAAAJ]spa
dc.contributor.googlescholarGuerrero Santander, César Darío [_YgBOOcAAAAJ]spa
dc.contributor.orcidBriceño Pineda, Wilson [0000-0003-3194-6758]spa
dc.contributor.orcidParra Valencia, Jorge Andrick [0000-0002-2060-6419]spa
dc.contributor.orcidParra Sánchez, Diana Teresa [0000-0002-7649-0849]spa
dc.contributor.orcidCalderón Benavides, Maritza Liliana [0000-0001-8658-9036]spa
dc.contributor.orcidGuerrero Santander, César Darío [0000-0002-3286-6226]spa
dc.contributor.scopushttps://www-scopus-com.aure.unab.edu.co/authid/detail.uri?authorId=15043558200*
dc.contributor.scopushttps://www.scopus.com/authid/detail.uri?authorId=57194112517*
dc.contributor.scopusGuerrero Santander, Cesar Darío [23094317500]spa
dc.contributor.scopusCalderón Benavides, Maritza Liliana [15043558200]
dc.contributor.researchgateBriceño Pineda, Wilson [Wilson-Briceno-2]spa
dc.contributor.researchgateParra Valencia, Jorge Andrick [Jorge-Parra-Valencia]spa
dc.contributor.researchgateParra Sánchez, Diana Teresa [Diana-Parra-Sanchez-2]spa
dc.contributor.researchgateCalderón Benavides, Maritza Liliana [Liliana-Calderon-Benavides]spa
dc.contributor.researchgateGuerrero Santander, César Darío [Cesar-Guerrero-2]spa
dc.subject.lembIngeniería en ciencias de la computaciónspa
dc.subject.lembGestión de documentosspa
dc.subject.lembEducaciónspa
dc.subject.lembEmpresaspa
dc.subject.lembEducación en ingenieríaspa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.description.abstractenglishTraffic 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.eng
dc.subject.proposalClasificación de tráficospa
dc.subject.proposalNetFPGAspa
dc.subject.proposalMinería de datosspa
dc.type.redcolhttp://purl.org/redcol/resource_type/EC_AC
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.contributor.publonsGuerrero Santander, Cesar Darío [cesar-d-guerrero]spa
dc.contributor.apolounabCalderón Benavides, Maritza Liliana [maritza-liliana-calderón-benavides]
dc.contributor.linkedinGuerrero Santander, César Darío [cguerrer]
dc.contributor.linkedinCalderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]
dc.contributor.linkedinCalderón Benavides, Maritza Liliana [liliana-calderón-benavides-2031a84]


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