{"id":"https://openalex.org/W2041449234","doi":"https://doi.org/10.1109/cnsm.2014.7014196","title":"NTCS: A real time flow-based network traffic classification system","display_name":"NTCS: A real time flow-based network traffic classification system","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2041449234","doi":"https://doi.org/10.1109/cnsm.2014.7014196","mag":"2041449234"},"language":"en","primary_location":{"id":"doi:10.1109/cnsm.2014.7014196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnsm.2014.7014196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Network and Service Management (CNSM) and Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009090207","display_name":"Silas S. L. Pereira","orcid":"https://orcid.org/0000-0003-2535-3024"},"institutions":[{"id":"https://openalex.org/I102939073","display_name":"Universidade Estadual do Cear\u00e1","ror":"https://ror.org/00sec1m50","country_code":"BR","type":"education","lineage":["https://openalex.org/I102939073"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Silas Santiago Lopes Pereira","raw_affiliation_strings":["Department of Statistics and Computing, UECE State University of Cear\u00e1 Fortaleza, Cear\u00e1, Brazil","Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computing, UECE State University of Cear\u00e1 Fortaleza, Cear\u00e1, Brazil","institution_ids":["https://openalex.org/I102939073"]},{"raw_affiliation_string":"Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil","institution_ids":["https://openalex.org/I102939073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112434241","display_name":"Jorge Luiz de Castro e Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I102939073","display_name":"Universidade Estadual do Cear\u00e1","ror":"https://ror.org/00sec1m50","country_code":"BR","type":"education","lineage":["https://openalex.org/I102939073"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jorge Luiz De Castro e Silva","raw_affiliation_strings":["Department of Statistics and Computing, Universidade Estadual do Ceara, Fortaleza, CE, BR","Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computing, Universidade Estadual do Ceara, Fortaleza, CE, BR","institution_ids":["https://openalex.org/I102939073"]},{"raw_affiliation_string":"Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil","institution_ids":["https://openalex.org/I102939073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028426135","display_name":"Jos\u00e9 Everardo Bessa Maia","orcid":"https://orcid.org/0000-0002-4983-1724"},"institutions":[{"id":"https://openalex.org/I102939073","display_name":"Universidade Estadual do Cear\u00e1","ror":"https://ror.org/00sec1m50","country_code":"BR","type":"education","lineage":["https://openalex.org/I102939073"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Everardo Bessa Maia","raw_affiliation_strings":["Department of Statistics and Computing, Universidade Estadual do Ceara, Fortaleza, CE, BR","Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computing, Universidade Estadual do Ceara, Fortaleza, CE, BR","institution_ids":["https://openalex.org/I102939073"]},{"raw_affiliation_string":"Department of Statistics and Computing, UECE - State University of Cear\u00e1, Fortaleza - Brazil","institution_ids":["https://openalex.org/I102939073"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009090207"],"corresponding_institution_ids":["https://openalex.org/I102939073"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84497577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"368","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561092972755432},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7293554544448853},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6333741545677185},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6221374273300171},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.595248818397522},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5781413912773132},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5322964191436768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5265225172042847},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5252580046653748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49528947472572327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48118096590042114},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45875832438468933},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.4527015686035156},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4164890646934509},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33376869559288025},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3147200644016266},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1399458646774292},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13007891178131104},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10590365529060364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561092972755432},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7293554544448853},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6333741545677185},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6221374273300171},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.595248818397522},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5781413912773132},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5322964191436768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5265225172042847},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5252580046653748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49528947472572327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48118096590042114},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45875832438468933},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.4527015686035156},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4164890646934509},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33376869559288025},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3147200644016266},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1399458646774292},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13007891178131104},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10590365529060364}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnsm.2014.7014196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnsm.2014.7014196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Network and Service Management (CNSM) and Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W40890042","https://openalex.org/W159719520","https://openalex.org/W610271275","https://openalex.org/W1501706198","https://openalex.org/W1510529350","https://openalex.org/W1570448133","https://openalex.org/W1912123407","https://openalex.org/W1977522004","https://openalex.org/W1986774378","https://openalex.org/W2011628134","https://openalex.org/W2012095206","https://openalex.org/W2017733151","https://openalex.org/W2062248396","https://openalex.org/W2082330847","https://openalex.org/W2087405576","https://openalex.org/W2090640027","https://openalex.org/W2096118443","https://openalex.org/W2109093395","https://openalex.org/W2112076978","https://openalex.org/W2119271160","https://openalex.org/W2125055259","https://openalex.org/W2127561666","https://openalex.org/W2130182604","https://openalex.org/W2145376937","https://openalex.org/W2149310626","https://openalex.org/W2149600645","https://openalex.org/W2153221215","https://openalex.org/W2167546585","https://openalex.org/W2387140644","https://openalex.org/W2724888230","https://openalex.org/W3146200671","https://openalex.org/W6640114639","https://openalex.org/W6676005843"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"the":[3,66,71,74,98,101,104],"design":[4],"and":[5,29,33,60,118],"implementation":[6],"of":[7,24,73,84,93,103],"a":[8,21,81,89],"real":[9],"time":[10],"flow-based":[11],"network":[12],"traffic":[13],"classification":[14,34,99],"system.":[15],"The":[16,39],"classifier":[17],"monitor":[18],"acts":[19],"as":[20,43],"pipeline":[22],"consisting":[23],"three":[25],"modules:":[26],"packet":[27],"capture":[28],"preprocessing,":[30],"flow":[31,67],"reassembly,":[32],"with":[35,46],"Machine":[36],"Learning":[37,121],"(ML).":[38],"modules":[40],"are":[41,123],"built":[42],"concurrent":[44],"processes":[45],"well":[47],"defined":[48],"data":[49],"interfaces":[50],"between":[51],"them":[52],"so":[53],"that":[54],"any":[55],"module":[56],"can":[57],"be":[58],"improved":[59],"updated":[61],"independently.":[62],"In":[63,76],"this":[64,77],"pipeline,":[65],"reassembly":[68,85],"function":[69],"becomes":[70],"bottleneck":[72],"performance.":[75],"implementation,":[78],"was":[79],"used":[80],"efficient":[82],"method":[83],"which":[86],"results":[87],"in":[88,125],"average":[90],"delivery":[91],"delay":[92],"0.49":[94],"seconds,":[95],"aproximately.":[96],"For":[97],"module,":[100],"performances":[102],"K-Nearest":[105],"Neighbor":[106],"(KNN),":[107],"C4.5":[108],"Decision":[109],"Tree,":[110],"Naive":[111,115],"Bayes":[112,116],"(NB),":[113],"Flexible":[114],"(FNB)":[117],"AdaBoost":[119],"Ensemble":[120],"Algorithm":[122],"compared":[124],"order":[126],"to":[127],"validate":[128],"our":[129],"approach.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
