{"id":"https://openalex.org/W2402399645","doi":"https://doi.org/10.1109/icassp.2016.7472465","title":"Non-linear regression for bivariate self-similarity identification \u2014 application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts","display_name":"Non-linear regression for bivariate self-similarity identification \u2014 application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402399645","doi":"https://doi.org/10.1109/icassp.2016.7472465","mag":"2402399645"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006434696","display_name":"Jordan Fr\u00e9con","orcid":"https://orcid.org/0000-0001-6594-1782"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jordan Frecon","raw_affiliation_strings":["Physics Department, ENS, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physics Department, ENS, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069426959","display_name":"Romain Fontugne","orcid":"https://orcid.org/0000-0002-9816-5625"},"institutions":[{"id":"https://openalex.org/I176979517","display_name":"International Research Center for Japanese Studies","ror":"https://ror.org/04861vz74","country_code":"JP","type":"education","lineage":["https://openalex.org/I1319490839","https://openalex.org/I176979517","https://openalex.org/I4210148627"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I4387152154","display_name":"Japanese-French Laboratory for Informatics","ror":"https://ror.org/007xn7v02","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I203951103","https://openalex.org/I39804081","https://openalex.org/I4387152154","https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Romain Fontugne","raw_affiliation_strings":["Japanese French Laboratory for Informatics, Tokyo, Japan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japanese French Laboratory for Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I176979517","https://openalex.org/I4387152154"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081762841","display_name":"Gustavo Didier","orcid":"https://orcid.org/0000-0003-1363-5868"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gustavo Didier","raw_affiliation_strings":["Mathematics Department, Tulane University, New Orleans, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, Tulane University, New Orleans, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074166239","display_name":"Nelly Pustelnik","orcid":"https://orcid.org/0000-0001-7310-1927"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nelly Pustelnik","raw_affiliation_strings":["Physics Department, ENS, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physics Department, ENS, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814201","display_name":"Kensuke Fukuda","orcid":"https://orcid.org/0000-0001-8372-2807"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensuke Fukuda","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050643672","display_name":"Patrice Abry","orcid":"https://orcid.org/0000-0002-7096-8290"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I176979517","display_name":"International Research Center for Japanese Studies","ror":"https://ror.org/04861vz74","country_code":"JP","type":"education","lineage":["https://openalex.org/I1319490839","https://openalex.org/I176979517","https://openalex.org/I4210148627"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I4387152154","display_name":"Japanese-French Laboratory for Informatics","ror":"https://ror.org/007xn7v02","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I203951103","https://openalex.org/I39804081","https://openalex.org/I4387152154","https://openalex.org/I74801974"]}],"countries":["FR","JP"],"is_corresponding":false,"raw_author_name":"Patrice Abry","raw_affiliation_strings":["Japanese French Laboratory for Informatics, Tokyo, Japan","National Institute of Informatics, Tokyo, Japan","Physics Department, ENS, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japanese French Laboratory for Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I176979517","https://openalex.org/I4387152154"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Physics Department, ENS, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4184","last_page":"4188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9939000010490417,"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":0.9833999872207642,"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/computer-science","display_name":"Computer science","score":0.7438364028930664},{"id":"https://openalex.org/keywords/internet-traffic","display_name":"Internet traffic","score":0.6981080174446106},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6120051145553589},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5766569972038269},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.5762320160865784},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.503743588924408},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.49571239948272705},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.46408411860466003},{"id":"https://openalex.org/keywords/self-similarity","display_name":"Self-similarity","score":0.45529675483703613},{"id":"https://openalex.org/keywords/hurst-exponent","display_name":"Hurst exponent","score":0.4426209628582001},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4303526282310486},{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.4256059229373932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32505401968955994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2858373820781708},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20989146828651428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14871758222579956},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11225971579551697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438364028930664},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.6981080174446106},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6120051145553589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5766569972038269},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.5762320160865784},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.503743588924408},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.49571239948272705},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.46408411860466003},{"id":"https://openalex.org/C119453123","wikidata":"https://www.wikidata.org/wiki/Q262372","display_name":"Self-similarity","level":2,"score":0.45529675483703613},{"id":"https://openalex.org/C96835011","wikidata":"https://www.wikidata.org/wiki/Q1638718","display_name":"Hurst exponent","level":2,"score":0.4426209628582001},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4303526282310486},{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.4256059229373932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32505401968955994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2858373820781708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20989146828651428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14871758222579956},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11225971579551697},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W149523093","https://openalex.org/W1516946955","https://openalex.org/W1533429117","https://openalex.org/W1605113984","https://openalex.org/W1628887537","https://openalex.org/W1755246693","https://openalex.org/W1974673435","https://openalex.org/W2022894179","https://openalex.org/W2026784425","https://openalex.org/W2038536589","https://openalex.org/W2040333627","https://openalex.org/W2043711675","https://openalex.org/W2060381004","https://openalex.org/W2065202763","https://openalex.org/W2067120253","https://openalex.org/W2070775244","https://openalex.org/W2074223538","https://openalex.org/W2102481563","https://openalex.org/W2105818147","https://openalex.org/W2114839095","https://openalex.org/W2115755118","https://openalex.org/W2120664731","https://openalex.org/W2121511513","https://openalex.org/W2138543759","https://openalex.org/W2140664056","https://openalex.org/W2148275477","https://openalex.org/W2154195006","https://openalex.org/W2154993037","https://openalex.org/W2155915275","https://openalex.org/W2164210932","https://openalex.org/W2246734578","https://openalex.org/W2952403538","https://openalex.org/W2964208788","https://openalex.org/W3102362558","https://openalex.org/W4251335428","https://openalex.org/W4302067267","https://openalex.org/W6606098666","https://openalex.org/W6638000309","https://openalex.org/W6657020421","https://openalex.org/W6683304156","https://openalex.org/W6690942137"],"related_works":["https://openalex.org/W2377886499","https://openalex.org/W1602918169","https://openalex.org/W2127392574","https://openalex.org/W1506543445","https://openalex.org/W2149756718","https://openalex.org/W113696316","https://openalex.org/W2573791844","https://openalex.org/W2148934434","https://openalex.org/W2148767310","https://openalex.org/W1502564715"],"abstract_inverted_index":{"Internet":[0,117,137,150],"traffic":[1,20,118],"monitoring":[2],"is":[3,95,107,122],"a":[4,11,15,63,142],"crucial":[5],"task":[6],"for":[7,14,97],"network":[8],"security.":[9],"Self-similarity,":[10],"key":[12],"property":[13],"relevant":[16],"description":[17],"of":[18,101,111,127,130,145],"internet":[19],"statistics,":[21],"has":[22],"already":[23],"been":[24],"massively":[25],"and":[26,54,80,148,163],"successfully":[27],"involved":[28],"in":[29,78,158],"anomaly":[30,119,159],"detection.":[31],"Self-similar":[32],"analysis":[33],"was":[34],"however":[35],"so":[36],"far":[37],"applied":[38],"either":[39],"to":[40,74,141],"byte":[41],"or":[42],"Packet":[43],"count":[44],"time":[45],"series":[46],"independently,":[47],"while":[48],"both":[49],"signals":[50],"are":[51,161],"jointly":[52,76],"collected":[53],"technically":[55],"deeply":[56],"related.":[57],"The":[58,104],"present":[59],"contribution":[60],"elaborates":[61],"on":[62,87],"recently":[64],"proposed":[65],"multivariate":[66],"self-similar":[67],"model,":[68],"Operator":[69],"fractional":[70],"Brownian":[71],"Motion":[72],"(OfBm),":[73],"analyze":[75],"self-similarity":[77],"bytes":[79],"packets.":[81],"A":[82],"non-linear":[83],"regression":[84],"procedure,":[85,94],"based":[86,136],"an":[88,116],"original":[89],"Branch":[90],"&":[91],"Bound":[92],"resolution":[93],"devised":[96],"the":[98,128,134,153],"full":[99],"identification":[100],"bivariate":[102],"OfBm.":[103],"estimation":[105],"performance":[106],"assessed":[108],"by":[109],"means":[110],"Monte":[112],"Carlo":[113],"simulations.":[114],"Further,":[115],"detection":[120,160],"procedure":[121],"proposed,":[123],"that":[124],"makes":[125],"use":[126],"vector":[129],"Hurst":[131],"exponents":[132],"underlying":[133],"OfBm":[135],"data":[138,151],"modeling.":[139],"Applied":[140],"large":[143],"set":[144],"high":[146],"quality":[147],"modern":[149],"from":[152],"MAWI":[154],"repository,":[155],"proof-of-concept":[156],"results":[157],"detailed":[162],"discussed.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}