{"id":"https://openalex.org/W4283750307","doi":"https://doi.org/10.1109/medcomnet55087.2022.9810378","title":"Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks","display_name":"Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4283750307","doi":"https://doi.org/10.1109/medcomnet55087.2022.9810378"},"language":"en","primary_location":{"id":"doi:10.1109/medcomnet55087.2022.9810378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/medcomnet55087.2022.9810378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)","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/A5090211271","display_name":"Juan Marcos Ram\u00edrez","orcid":"https://orcid.org/0000-0003-0000-1073"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan Marcos Ramirez","raw_affiliation_strings":["IMDEA Networks Institute,Spain","IMDEA Networks Institute, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047248287","display_name":"Pablo Rojo","orcid":"https://orcid.org/0000-0002-0197-5462"},"institutions":[{"id":"https://openalex.org/I4210094645","display_name":"Nokia (Spain)","ror":"https://ror.org/00ngjbr32","country_code":"ES","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210094645"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Rojo","raw_affiliation_strings":["Nokia CNS,Spain","Nokia CNS, Spain"],"affiliations":[{"raw_affiliation_string":"Nokia CNS,Spain","institution_ids":["https://openalex.org/I4210094645"]},{"raw_affiliation_string":"Nokia CNS, Spain","institution_ids":["https://openalex.org/I4210094645"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fernando Diez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fernando Diez","raw_affiliation_strings":["Universidad Politécnica de Madrid,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Politécnica de Madrid,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070765508","display_name":"Vincenzo Mancuso","orcid":"https://orcid.org/0000-0002-4661-381X"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Vincenzo Mancuso","raw_affiliation_strings":["IMDEA Networks Institute,Spain","IMDEA Networks Institute, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014057564","display_name":"Antonio Fern\u00e1ndez Anta","orcid":"https://orcid.org/0000-0001-6501-2377"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Fernandez Anta","raw_affiliation_strings":["IMDEA Networks Institute,Spain","IMDEA Networks Institute, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Spain","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090211271"],"corresponding_institution_ids":["https://openalex.org/I2802499160"],"apc_list":null,"apc_paid":null,"fwci":0.5709,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67551845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.848638653755188},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8403370380401611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962270379066467},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.615226686000824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5663893222808838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5159885883331299},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.507654070854187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4891670048236847},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4806291460990906},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4431918263435364},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41840147972106934},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11601093411445618}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.848638653755188},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8403370380401611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962270379066467},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.615226686000824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5663893222808838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5159885883331299},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.507654070854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4891670048236847},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4806291460990906},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4431918263435364},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41840147972106934},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11601093411445618},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/medcomnet55087.2022.9810378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/medcomnet55087.2022.9810378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1966809779","https://openalex.org/W1990920914","https://openalex.org/W1994373811","https://openalex.org/W2026453187","https://openalex.org/W2040975718","https://openalex.org/W2080099070","https://openalex.org/W2093606067","https://openalex.org/W2097994458","https://openalex.org/W2101234009","https://openalex.org/W2131389289","https://openalex.org/W2319824271","https://openalex.org/W2487770199","https://openalex.org/W2512573859","https://openalex.org/W2519132385","https://openalex.org/W2555676925","https://openalex.org/W2605344455","https://openalex.org/W2667207928","https://openalex.org/W2782517596","https://openalex.org/W2785362611","https://openalex.org/W2894275747","https://openalex.org/W2997116778","https://openalex.org/W3045840010","https://openalex.org/W3098957257","https://openalex.org/W3179039649","https://openalex.org/W4297957988","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W3195353062","https://openalex.org/W2066625485","https://openalex.org/W1557144543","https://openalex.org/W2098215860","https://openalex.org/W2132308729"],"abstract_inverted_index":{"Mobile":[0],"communications":[1],"providers":[2],"often":[3],"monitor":[4],"key":[5],"performance":[6,84,176],"indicators":[7],"(KPIs)":[8],"with":[9,147],"the":[10,20,42,47,51,56,122,143,148,165,170,175,178,195],"goal":[11],"of":[12,22,53,55,177],"identifying":[13,103],"anomalous":[14,111,171],"operation":[15,106],"scenarios":[16,107],"that":[17,108,130],"can":[18],"affect":[19],"quality":[21],"Internet-based":[23],"services.":[24],"In":[25],"this":[26],"regard,":[27],"anomaly":[28,96,144],"detection":[29,97,145],"and":[30,50,75,82,94,98,105,132,135,161,169],"classification":[31,99],"in":[32,86,139,208],"mobile":[33,87],"networks":[34],"has":[35],"become":[36],"a":[37,71,126,181,189,200],"challenging":[38],"task":[39],"due":[40],"to":[41,80,116,141],"unknown":[43],"distributions":[44],"exhibited":[45],"by":[46,205],"collected":[48],"data":[49,72,127,185,202],"lack":[52],"interpretability":[54],"embedded":[57],"(machine":[58],"learning)":[59],"models.":[60],"This":[61],"paper":[62],"proposes":[63],"an":[64],"unsupervised":[65],"end-to-end":[66],"methodology":[67,196],"based":[68],"on":[69,199],"both":[70,164],"cleaning":[73,128],"strategy":[74],"explainable":[76,95],"machine":[77,153],"learning":[78,154],"models":[79,155],"detect":[81],"classify":[83],"anomalies":[85],"networks.":[88,210],"The":[89],"proposed":[90,123,179],"approach,":[91],"dubbed":[92],"clean":[93],"(KLNX),":[100],"aims":[101],"at":[102],"attributes":[104,136],"could":[109],"induce":[110],"KPI":[112],"values":[113],"without":[114],"resorting":[115],"parameter":[117],"tuning.":[118],"Unlike":[119],"previous":[120],"methodologies,":[121],"method":[124],"includes":[125],"stage":[129],"extracts":[131],"removes":[133],"experiments":[134],"considered":[137],"outliers":[138],"order":[140],"train":[142],"engine":[146],"cleanest":[149],"possible":[150],"dataset.":[151],"Additionally,":[152],"provide":[156],"interpretable":[157],"information":[158],"about":[159],"features":[160],"boundaries":[162],"describing":[163],"normal":[166],"network":[167],"behavior":[168],"scenarios.":[172],"To":[173],"evaluate":[174],"method,":[180],"testbed":[182],"generating":[183],"synthetic":[184],"is":[186,197],"developed":[187],"using":[188],"known":[190],"TCP":[191],"throughput":[192],"model.":[193],"Finally,":[194],"assessed":[198],"real":[201],"set":[203],"captured":[204],"operational":[206],"tests":[207],"commercial":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}