{"id":"https://openalex.org/W1999193755","doi":"https://doi.org/10.1145/1501434.1501462","title":"Approximate autoregressive modeling for network attack detection","display_name":"Approximate autoregressive modeling for network attack detection","publication_year":2006,"publication_date":"2006-10-30","ids":{"openalex":"https://openalex.org/W1999193755","doi":"https://doi.org/10.1145/1501434.1501462","mag":"1999193755"},"language":"en","primary_location":{"id":"doi:10.1145/1501434.1501462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1501434.1501462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services","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/A5073020270","display_name":"Harshit Nayyar","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Harshit Nayyar","raw_affiliation_strings":["University of New Brunswick, Fredericton, NB, Canada","University of New Brunswick, Fredericton, NB, CANADA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, CANADA","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685391","display_name":"Ali A. Ghorbani","orcid":"https://orcid.org/0000-0001-9189-6268"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali A Ghorbani","raw_affiliation_strings":["University of New Brunswick, Fredericton, NB, Canada","University of New Brunswick, Fredericton, NB, CANADA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, CANADA","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12914779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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":0.9890999794006348,"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":0.7957568168640137},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7275457382202148},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6092544794082642},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5823655724525452},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5702151656150818},{"id":"https://openalex.org/keywords/simple-network-management-protocol","display_name":"Simple Network Management Protocol","score":0.5266423225402832},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.48985859751701355},{"id":"https://openalex.org/keywords/network-administrator","display_name":"Network administrator","score":0.4719083905220032},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44974640011787415},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.44732049107551575},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.4335174560546875},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4165792167186737},{"id":"https://openalex.org/keywords/network-monitoring","display_name":"Network monitoring","score":0.4147678315639496},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4145115911960602},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4123605191707611},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.3798547685146332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29939359426498413},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28684553503990173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27342548966407776},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2000034749507904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957568168640137},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7275457382202148},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6092544794082642},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5823655724525452},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5702151656150818},{"id":"https://openalex.org/C69527307","wikidata":"https://www.wikidata.org/wiki/Q184230","display_name":"Simple Network Management Protocol","level":3,"score":0.5266423225402832},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.48985859751701355},{"id":"https://openalex.org/C2779173999","wikidata":"https://www.wikidata.org/wiki/Q680296","display_name":"Network administrator","level":2,"score":0.4719083905220032},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44974640011787415},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.44732049107551575},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.4335174560546875},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4165792167186737},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.4147678315639496},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4145115911960602},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4123605191707611},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.3798547685146332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29939359426498413},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28684553503990173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27342548966407776},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2000034749507904},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1501434.1501462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1501434.1501462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3906548581","display_name":null,"funder_award_id":"RGPN 227441","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320323028","display_name":"Atlantic Canada Opportunities Agency","ror":"https://ror.org/03jp5g380"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W47128722","https://openalex.org/W1490025813","https://openalex.org/W1516506771","https://openalex.org/W1540713332","https://openalex.org/W1642161394","https://openalex.org/W1674877186","https://openalex.org/W1823417729","https://openalex.org/W1838783946","https://openalex.org/W1965324089","https://openalex.org/W1982304603","https://openalex.org/W1988918299","https://openalex.org/W1989359075","https://openalex.org/W1996089921","https://openalex.org/W2105818147","https://openalex.org/W2114238591","https://openalex.org/W2115755118","https://openalex.org/W2117028727","https://openalex.org/W2121511513","https://openalex.org/W2121904442","https://openalex.org/W2127273221","https://openalex.org/W2128796442","https://openalex.org/W2131389289","https://openalex.org/W2137131477","https://openalex.org/W2147191819","https://openalex.org/W2157665255","https://openalex.org/W2160038532","https://openalex.org/W2164576874","https://openalex.org/W4234835238","https://openalex.org/W6638595856","https://openalex.org/W6641780247","https://openalex.org/W6677399427","https://openalex.org/W6678935822"],"related_works":["https://openalex.org/W2380400043","https://openalex.org/W4205316883","https://openalex.org/W2378302710","https://openalex.org/W624949607","https://openalex.org/W2553802035","https://openalex.org/W1569390378","https://openalex.org/W3181805982","https://openalex.org/W2371829462","https://openalex.org/W4321846333","https://openalex.org/W1979528400"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,43,58,90],"technique":[4,41,74,93],"for":[5,16,77,122],"creating":[6],"an":[7],"ARX":[8],"model":[9,32],"of":[10,45,57,111,127],"network":[11,18,105,129,137],"signals":[12,24,106],"and":[13,29,49,82,98,131],"using":[14,33,42],"it":[15,118],"detecting":[17],"anomalies":[19],"caused":[20],"by":[21],"intrusions.":[22],"Network":[23],"are":[25],"non-stationary,":[26],"highly":[27],"volatile":[28],"hard":[30],"to":[31,62,85,134],"traditional":[34],"methods.":[35],"We":[36,52,70],"present":[37,54],"our":[38],"own":[39],"modeling":[40],"combination":[44],"system":[46],"identification":[47],"theory":[48],"wavelet":[50],"approximation.":[51],"also":[53],"the":[55,73,125,128,135],"results":[56],"prototype":[59],"implementation":[60],"applied":[61],"1999":[63],"DARPA":[64],"intrusion":[65,80],"detection":[66,81],"evaluation":[67],"data":[68],"set.":[69],"verify":[71],"that":[72],"is":[75,95],"viable":[76],"anomaly":[78],"based":[79],"can":[83,99],"contribute":[84],"defense":[86],"in":[87,89],"depth":[88],"network.":[91],"The":[92],"proposed":[94],"online,":[96],"generic":[97],"be":[100],"used":[101],"with":[102],"many":[103],"other":[104],"like":[107],"bandwidth":[108],"consumption,":[109],"rate":[110],"flow":[112],"arrival":[113],"or":[114],"SNMP":[115],"variables.":[116],"Moreover,":[117],"requires":[119],"minimal":[120],"expertise":[121],"use":[123],"on":[124],"part":[126],"administrator":[130],"automatically":[132],"adapts":[133],"underlying":[136],"behavior.":[138]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}