{"id":"https://openalex.org/W2896412072","doi":"https://doi.org/10.1109/access.2018.2875045","title":"Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark","display_name":"Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896412072","doi":"https://doi.org/10.1109/access.2018.2875045","mag":"2896412072"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2875045","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875045","pdf_url":null,"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://doi.org/10.1109/access.2018.2875045","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014416499","display_name":"Naila Marir","orcid":"https://orcid.org/0000-0001-6633-9099"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Naila Marir","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954149","display_name":"Huiqiang Wang","orcid":"https://orcid.org/0000-0002-1007-5589"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqiang Wang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1007-5589","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056970858","display_name":"Guangsheng Feng","orcid":"https://orcid.org/0000-0001-7192-1622"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangsheng Feng","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7192-1622","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108667379","display_name":"Bingyang Li","orcid":"https://orcid.org/0009-0004-3018-8216"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyang Li","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100950317","display_name":"Meijuan Jia","orcid":"https://orcid.org/0000-0002-8971-9630"},"institutions":[{"id":"https://openalex.org/I4210155943","display_name":"Daqing Normal University","ror":"https://ror.org/05dd1f546","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155943"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijuan Jia","raw_affiliation_strings":["College of Computer Science and Information Technology, Daqing Normal University, Daqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, Daqing Normal University, Daqing, China","institution_ids":["https://openalex.org/I4210155943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014416499"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":13.4318,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.98946457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"59657","last_page":"59671"},"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":0.9994000196456909,"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":0.9980999827384949,"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":0.839826762676239},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6665145754814148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6582744121551514},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6394550800323486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5876122117042542},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5834423303604126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5158199667930603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4867232143878937},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.44407808780670166},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4435771107673645},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.41228151321411133},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4110236167907715},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3376745581626892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839826762676239},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6665145754814148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6582744121551514},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6394550800323486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876122117042542},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5834423303604126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5158199667930603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4867232143878937},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.44407808780670166},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4435771107673645},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.41228151321411133},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4110236167907715},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3376745581626892},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/access.2018.2875045","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875045","pdf_url":null,"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:d269486d059d415aa5de6aa83492b6e6","is_oa":true,"landing_page_url":"https://doaj.org/article/d269486d059d415aa5de6aa83492b6e6","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 6, Pp 59657-59671 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2875045","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875045","pdf_url":null,"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/G2072077023","display_name":null,"funder_award_id":"61872104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5604198983","display_name":null,"funder_award_id":"61502118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7210143577","display_name":null,"funder_award_id":"F2016028","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W111228695","https://openalex.org/W261961050","https://openalex.org/W1780696074","https://openalex.org/W1815125660","https://openalex.org/W1823320334","https://openalex.org/W1965334909","https://openalex.org/W2031394433","https://openalex.org/W2076758681","https://openalex.org/W2091825929","https://openalex.org/W2096205677","https://openalex.org/W2099940443","https://openalex.org/W2118023920","https://openalex.org/W2120432001","https://openalex.org/W2121035740","https://openalex.org/W2136922672","https://openalex.org/W2155461860","https://openalex.org/W2167287136","https://openalex.org/W2191006491","https://openalex.org/W2340896621","https://openalex.org/W2342408547","https://openalex.org/W2399941526","https://openalex.org/W2401369396","https://openalex.org/W2432038293","https://openalex.org/W2529525882","https://openalex.org/W2531160404","https://openalex.org/W2552964202","https://openalex.org/W2554148185","https://openalex.org/W2584408238","https://openalex.org/W2594348459","https://openalex.org/W2743475759","https://openalex.org/W2748696935","https://openalex.org/W2754849562","https://openalex.org/W2762776925","https://openalex.org/W2766750480","https://openalex.org/W2767547957","https://openalex.org/W2767620858","https://openalex.org/W2772317693","https://openalex.org/W2783741806","https://openalex.org/W2786514898","https://openalex.org/W2789828921","https://openalex.org/W6638211177","https://openalex.org/W6674723989","https://openalex.org/W6730018140","https://openalex.org/W6733113829"],"related_works":["https://openalex.org/W2061466315","https://openalex.org/W2376886931","https://openalex.org/W2010561419","https://openalex.org/W224405725","https://openalex.org/W2374845301","https://openalex.org/W2351448539","https://openalex.org/W1977863481","https://openalex.org/W2384741105","https://openalex.org/W3157271777","https://openalex.org/W2377372927"],"abstract_inverted_index":{"The":[0,127,188],"emergence":[1],"of":[2,16,43,104,121,142,190],"Internet":[3],"connectivity":[4],"has":[5],"led":[6],"to":[7,35,56,70,88,95,183],"a":[8,58,62,76,83,114,140,143,155,161,167,206],"significant":[9],"increase":[10],"in":[11,30,124,154,209],"the":[12,28,36,44,46,119,131,178,184,191,196],"volume":[13],"and":[14,39,100,147],"complexity":[15],"cyber":[17],"attacks.":[18],"Abnormal":[19],"behavior":[20,91,123,133],"detection":[21,49,120],"systems":[22],"are":[23,66,181],"valuable":[24],"tools":[25],"for":[26,118],"ensuring":[27],"security":[29],"computer":[31],"networks.":[32,126],"However,":[33],"due":[34],"huge":[37],"amount":[38],"ever":[40],"increasing":[41],"diversity":[42],"intrusions,":[45],"existing":[47,214],"intrusion":[48],"systems,":[50],"which":[51,74],"use":[52],"machine":[53],"learning":[54],"techniques":[55],"learn":[57,97],"classifier":[59],"based":[60,200],"on":[61,172,201],"handcrafted":[63],"feature":[64,145],"vector,":[65],"not":[67],"robust":[68],"enough":[69],"detect":[71,89],"sophisticated":[72],"attacks":[73],"cause":[75],"high":[77],"false":[78],"alarm":[79],"rate.":[80],"Therefore,":[81],"building":[82],"flexible":[84],"in-depth":[85],"defense":[86],"system":[87],"abnormal":[90,122,132],"requires":[92],"an":[93],"ability":[94],"automatically":[96],"powerful":[98],"features":[99,180],"analyze":[101],"large":[102],"amounts":[103],"network":[105,136,174],"traffic.":[106],"To":[107],"address":[108],"these":[109],"concerns,":[110],"this":[111],"paper":[112],"proposes":[113],"novel":[115],"distributed":[116,156,168],"approach":[117],"largescale":[125],"developed":[128],"model":[129],"discovers":[130],"from":[134],"large-scale":[135,173],"traffic":[137,175],"data":[138],"using":[139],"combination":[141],"deep":[144,169],"extraction":[146],"multi-layer":[148,185],"ensemble":[149,186,192],"support":[150],"vector":[151],"machines":[152],"(SVMs)":[153],"way.":[157],"First,":[158],"we":[159],"perform":[160],"non-linear":[162],"dimensionality":[163],"reduction,":[164],"achieved":[165],"through":[166,195],"belief":[170],"networks":[171],"data.":[176],"Then,":[177],"obtained":[179],"fed":[182],"SVM.":[187],"construction":[189],"is":[193],"accomplished":[194],"iterative":[197],"reduce":[198],"paradigm":[199],"Spark.":[202],"Empirical":[203],"results":[204],"show":[205],"promising":[207],"gain":[208],"performance":[210],"compared":[211],"with":[212],"other":[213],"models.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}