{"id":"https://openalex.org/W4382446707","doi":"https://doi.org/10.1109/access.2023.3272894","title":"Traffic Classification in IP Networks Through Machine Learning Techniques in Final Systems","display_name":"Traffic Classification in IP Networks Through Machine Learning Techniques in Final Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382446707","doi":"https://doi.org/10.1109/access.2023.3272894"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3272894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3272894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10115419.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10115419.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086574977","display_name":"Jorge G\u00f3mez G\u00f3mez","orcid":"https://orcid.org/0000-0001-8746-9386"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge G\u00f3mez","raw_affiliation_strings":["System Department, Universidad de Córdoba, Córdoba, Colombia"],"raw_orcid":"https://orcid.org/0000-0001-8746-9386","affiliations":[{"raw_affiliation_string":"System Department, Universidad de Córdoba, Córdoba, Colombia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032589195","display_name":"Velssy Hern\u00e1ndez Ria\u00f1o","orcid":"https://orcid.org/0000-0003-1556-5074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Velssy Hernandez Ria\u00f1o","raw_affiliation_strings":["System Department, Universidad de Córdoba, Córdoba, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"System Department, Universidad de Córdoba, Córdoba, Colombia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037471028","display_name":"Gustavo Ram\u00edrez-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-1338-8820"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Gustavo Ramirez-Gonzalez","raw_affiliation_strings":["Telematics Department, University of Cauca, Popayán, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-1338-8820","affiliations":[{"raw_affiliation_string":"Telematics Department, University of Cauca, Popayán, Colombia","institution_ids":["https://openalex.org/I152650591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1584,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92252605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"44932","last_page":"44940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.996999979019165,"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":0.8569598197937012},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5861067175865173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49433445930480957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46628499031066895},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4320872724056244},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.42758649587631226},{"id":"https://openalex.org/keywords/lag","display_name":"Lag","score":0.4156818091869354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39934033155441284},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3319791555404663},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12738627195358276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8569598197937012},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5861067175865173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49433445930480957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46628499031066895},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4320872724056244},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.42758649587631226},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.4156818091869354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39934033155441284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3319791555404663},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12738627195358276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3272894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3272894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10115419.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad5a1fae17b648709ba721bbd4c00fa0","is_oa":true,"landing_page_url":"https://doaj.org/article/ad5a1fae17b648709ba721bbd4c00fa0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 44932-44940 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3272894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3272894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10115419.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2866427388","display_name":null,"funder_award_id":"FI-05-19","funder_id":"https://openalex.org/F4320325299","funder_display_name":"Universidad de C\u00f3rdoba"}],"funders":[{"id":"https://openalex.org/F4320325299","display_name":"Universidad de C\u00f3rdoba","ror":"https://ror.org/05yc77b46"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382446707.pdf","grobid_xml":"https://content.openalex.org/works/W4382446707.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1555655014","https://openalex.org/W1604974903","https://openalex.org/W1627253028","https://openalex.org/W1698388015","https://openalex.org/W1728842521","https://openalex.org/W1975379406","https://openalex.org/W2009090493","https://openalex.org/W2012549717","https://openalex.org/W2027449312","https://openalex.org/W2033323909","https://openalex.org/W2046327340","https://openalex.org/W2065889189","https://openalex.org/W2072298849","https://openalex.org/W2101234009","https://openalex.org/W2142215216","https://openalex.org/W2164998096","https://openalex.org/W2201508957","https://openalex.org/W2511349875","https://openalex.org/W2567615407","https://openalex.org/W2766876354","https://openalex.org/W2920437306","https://openalex.org/W3006383271","https://openalex.org/W3007492668","https://openalex.org/W3013974404","https://openalex.org/W3016762656","https://openalex.org/W3049689156","https://openalex.org/W3120160010","https://openalex.org/W3177654962","https://openalex.org/W3180196287","https://openalex.org/W3196051090","https://openalex.org/W3204613820","https://openalex.org/W4221091040","https://openalex.org/W6637572315","https://openalex.org/W6661873632","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2167436245","https://openalex.org/W2038633710","https://openalex.org/W2989056116","https://openalex.org/W2897734105","https://openalex.org/W2021745753","https://openalex.org/W2083667132","https://openalex.org/W2362805728","https://openalex.org/W2113982066","https://openalex.org/W2360829364","https://openalex.org/W2041974545"],"abstract_inverted_index":{"Data":[0],"centers":[1,43],"in":[2,15,35,142,147,166,174],"higher":[3],"education":[4],"institutions,":[5],"as":[6,8],"well":[7],"those":[9],"of":[10,17,57,68,75,99,107,150,157,164,168],"large":[11],"corporations,":[12],"face":[13],"challenges":[14],"terms":[16,167],"traffic":[18,48,165,184],"flow":[19,49,93],"management.":[20],"In":[21,111],"some":[22],"cases,":[23],"due":[24,52],"to":[25,53,103,119,180,198,203,207],"the":[26,42,47,54,58,63,73,87,91,96,100,104,108,112,121,125,129,132,137,148,153,162,169,178,183,192,200,208,210,217],"limited":[27],"hardware":[28,194],"resources":[29],"used":[30,118],"for":[31,86],"this":[32,69,190],"purpose,":[33],"and":[34,79,172],"others,":[36],"despite":[37],"having":[38],"enough":[39],"high-performance":[40],"equipment,":[41],"lag":[44],"behind":[45],"when":[46],"grows":[50],"exponentially":[51],"memory":[55],"limitations":[56],"devices,":[59],"which":[60],"slows":[61],"down":[62],"network":[64,193],"performance.":[65],"The":[66],"contribution":[67],"investigation":[70],"work":[71],"is":[72,155,185,216],"implementation":[74],"a":[76,175,221],"classifying":[77],"elephant":[78,186],"mice":[80],"system":[81],"using":[82],"machine":[83],"learning":[84,139],"techniques":[85],"early":[88],"detection":[89],"with":[90,131,159,220],"first":[92,113],"based":[94],"on":[95],"dynamic":[97,176],"calculation":[98],"threshold,":[101],"according":[102,202],"input":[105,170],"parameters":[106],"final":[109],"system.":[110],"instance,":[114],"training":[115],"algorithms":[116],"are":[117],"determine":[120,181],"best":[122,133,213],"performance,":[123],"then":[124,197],"proposed":[126],"algorithm":[127,140,154],"determines":[128],"model":[130,211],"prediction,":[134,152],"obtained":[135],"from":[136],"supervised":[138],"trained":[141],"off":[143],"line":[144],"mode.":[145],"Finally":[146],"phase":[149],"online":[151],"capable":[156],"predicting":[158],"high":[160],"precision":[161],"type":[163],"flow,":[171],"updates":[173],"way":[177],"threshold":[179],"whether":[182],"or":[187],"mice.":[188],"With":[189],"information":[191],"can":[195],"decide":[196],"route":[199],"flows":[201],"their":[204],"characterization.":[205],"According":[206],"results,":[209],"that":[212],"generates":[214],"predictions":[215],"decision":[218],"tree":[219],"100%":[222],"confidence":[223],"level.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}