{"id":"https://openalex.org/W1963821364","doi":"https://doi.org/10.1109/infcom.2012.6195548","title":"Robust feature selection and robust PCA for internet traffic anomaly detection","display_name":"Robust feature selection and robust PCA for internet traffic anomaly detection","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W1963821364","doi":"https://doi.org/10.1109/infcom.2012.6195548","mag":"1963821364"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2012.6195548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2012.6195548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Proceedings IEEE INFOCOM","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/A5112019960","display_name":"Cl\u00e1udia Pascoal","orcid":null},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4210154254","display_name":"Instituto Superior de Tecnologias Avan\u00e7adas","ror":"https://ror.org/04hzbg791","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210154254"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Claudia Pascoal","raw_affiliation_strings":["IST and CEMAT, UTL, Lisboa, Portugal","UTL/IST and CEMAT, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"IST and CEMAT, UTL, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"UTL/IST and CEMAT, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210154254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024449512","display_name":"M. Ros\u00e1rio Oliveira","orcid":"https://orcid.org/0000-0002-5234-3713"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4210154254","display_name":"Instituto Superior de Tecnologias Avan\u00e7adas","ror":"https://ror.org/04hzbg791","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210154254"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"M. Rosario de Oliveira","raw_affiliation_strings":["IST and CEMAT, UTL, Lisboa, Portugal","UTL/IST and CEMAT, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"IST and CEMAT, UTL, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"UTL/IST and CEMAT, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210154254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018484137","display_name":"Rui Valadas","orcid":"https://orcid.org/0000-0002-7420-4386"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Valadas","raw_affiliation_strings":["IST and Instituto de Telecomunica\u00e7\u00f5es, UTL, Lisboa, Portugal","UTL/IST and Instituto de Telecomunica\u00e7\u00f5es, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"IST and Instituto de Telecomunica\u00e7\u00f5es, UTL, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471"]},{"raw_affiliation_string":"UTL/IST and Instituto de Telecomunica\u00e7\u00f5es, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041191852","display_name":"Peter Filzmoser","orcid":"https://orcid.org/0000-0002-8014-4682"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter Filzmoser","raw_affiliation_strings":["Department of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria","Department of Statistics and Probability Theory, #R##N#Vienna University of Technology, AUSTRIA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Department of Statistics and Probability Theory, #R##N#Vienna University of Technology, AUSTRIA","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012996391","display_name":"Paulo Salvador","orcid":"https://orcid.org/0000-0001-6832-9417"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Salvador","raw_affiliation_strings":["DETI, Instituto de Telecomunica\u00e7\u00f5es, University of Aveiro, Aveiro, Portugal","DETI/Univ. of Aveiro and Instituto de Telecomunica\u00e7\u00f5es, Portugal"],"affiliations":[{"raw_affiliation_string":"DETI, Instituto de Telecomunica\u00e7\u00f5es, University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I60858718"]},{"raw_affiliation_string":"DETI/Univ. of Aveiro and Instituto de Telecomunica\u00e7\u00f5es, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040168404","display_name":"Ant\u00f3nio Pacheco","orcid":"https://orcid.org/0000-0002-5757-5652"},"institutions":[{"id":"https://openalex.org/I4210154254","display_name":"Instituto Superior de Tecnologias Avan\u00e7adas","ror":"https://ror.org/04hzbg791","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210154254"]},{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Antonio Pacheco","raw_affiliation_strings":["IST and CEMAT, UTL, Lisboa, Portugal","UTL/IST and CEMAT, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"IST and CEMAT, UTL, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"UTL/IST and CEMAT, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210154254"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112019960"],"corresponding_institution_ids":["https://openalex.org/I121345201","https://openalex.org/I4210154254"],"apc_list":null,"apc_paid":null,"fwci":6.7373,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.96952399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1755","last_page":"1763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9947999715805054,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7901036739349365},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.743669867515564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709895670413971},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.620972752571106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5918245911598206},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5713555812835693},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5668106079101562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5667762160301208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5608019232749939},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5564842820167542},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.5049963593482971},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48985978960990906},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4741717576980591},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4424680471420288},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4253205955028534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18936848640441895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10944756865501404}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7901036739349365},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.743669867515564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709895670413971},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.620972752571106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5918245911598206},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5713555812835693},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5668106079101562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5667762160301208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608019232749939},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5564842820167542},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.5049963593482971},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48985978960990906},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4741717576980591},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4424680471420288},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4253205955028534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18936848640441895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10944756865501404},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2012.6195548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2012.6195548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Proceedings IEEE INFOCOM","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":36,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W187043655","https://openalex.org/W1599132067","https://openalex.org/W1661871015","https://openalex.org/W1963821364","https://openalex.org/W1965771882","https://openalex.org/W1977336324","https://openalex.org/W1985987493","https://openalex.org/W1997299558","https://openalex.org/W2007562169","https://openalex.org/W2011628134","https://openalex.org/W2012095206","https://openalex.org/W2038819732","https://openalex.org/W2048993342","https://openalex.org/W2054834816","https://openalex.org/W2058496912","https://openalex.org/W2113853667","https://openalex.org/W2118578744","https://openalex.org/W2118931532","https://openalex.org/W2119479037","https://openalex.org/W2122646361","https://openalex.org/W2127589913","https://openalex.org/W2135957476","https://openalex.org/W2156916299","https://openalex.org/W2169487163","https://openalex.org/W2169623711","https://openalex.org/W2177696067","https://openalex.org/W3009746682","https://openalex.org/W3036349319","https://openalex.org/W3124370832","https://openalex.org/W4250857377","https://openalex.org/W4255230573","https://openalex.org/W4285719527","https://openalex.org/W6607543680","https://openalex.org/W6636914306","https://openalex.org/W6779939193"],"related_works":["https://openalex.org/W2991135868","https://openalex.org/W3037121946","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W2046343964","https://openalex.org/W3107369729","https://openalex.org/W4379515847","https://openalex.org/W4387454008"],"abstract_inverted_index":{"Robust":[0],"statistics":[1,6],"is":[2,49,81,94,168],"a":[3,31,52,61,67,106,110,125,131,156],"branch":[4],"of":[5,12,18,44,76,103,117,129,145,163],"which":[7,40,57],"includes":[8,66],"statistical":[9],"methods":[10],"capable":[11,128],"dealing":[13],"adequately":[14],"with":[15],"the":[16,74,101,114,142,149,161],"presence":[17],"outliers.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,58,123],"propose":[24],"an":[25,36,172],"anomaly":[26,164],"detection":[27,38,80],"method":[28,122,147],"that":[29],"combines":[30],"feature":[32,166],"selection":[33,48,167],"algorithm":[34],"and":[35,69,99,182],"outlier":[37],"method,":[39],"makes":[41],"extensive":[42],"use":[43],"robust":[45,62,84],"statistics.":[46],"Feature":[47],"based":[50,82],"on":[51,83],"mutual":[53],"information":[54],"metric":[55],"for":[56,72],"have":[59],"developed":[60],"estimator;":[63],"it":[64],"also":[65],"novel":[68],"automatic":[70],"procedure":[71],"determining":[73],"number":[75],"relevant":[77],"features.":[78],"Outlier":[79],"Principal":[85],"Component":[86],"Analysis":[87],"(PCA)":[88],"which,":[89],"opposite":[90],"to":[91,97,170,178],"classical":[92,151],"PCA,":[93],"not":[95],"sensitive":[96],"outliers":[98],"precludes":[100],"necessity":[102],"training":[104],"using":[105],"reliably":[107],"labeled":[108],"dataset,":[109],"strong":[111],"advantage":[112],"from":[113],"operational":[115],"point":[116],"view.":[118],"To":[119],"evaluate":[120],"our":[121,146],"designed":[124],"network":[126,180],"scenario":[127],"producing":[130],"perfect":[132],"ground-truth":[133],"under":[134],"real":[135],"(but":[136],"controlled)":[137],"traffic":[138],"conditions.":[139],"Results":[140],"show":[141],"significant":[143,184],"improvements":[144],"over":[148],"corresponding":[150],"ones.":[152],"Moreover,":[153],"despite":[154],"being":[155],"largely":[157],"overlooked":[158],"issue":[159],"in":[160],"context":[162],"detection,":[165],"found":[169],"be":[171],"important":[173],"preprocessing":[174],"step,":[175],"allowing":[176],"adaption":[177],"different":[179],"conditions":[181],"inducing":[183],"performance":[185],"gains.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
