{"id":"https://openalex.org/W3084709735","doi":"https://doi.org/10.1142/s0218001421500129","title":"Anomaly Detection for Industrial Control Networks Based on Improved One-Class Support Vector Machine","display_name":"Anomaly Detection for Industrial Control Networks Based on Improved One-Class Support Vector Machine","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3084709735","doi":"https://doi.org/10.1142/s0218001421500129","mag":"3084709735"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001421500129","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421500129","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5014935476","display_name":"Haicheng Qu","orcid":"https://orcid.org/0000-0002-2351-3154"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haicheng Qu","raw_affiliation_strings":["Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I176808543","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695481","display_name":"Jianzhong Zhou","orcid":"https://orcid.org/0000-0001-5476-5883"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Zhou","raw_affiliation_strings":["Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0001-5476-5883","affiliations":[{"raw_affiliation_string":"Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I176808543","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011038195","display_name":"Jitao Qin","orcid":"https://orcid.org/0000-0001-8619-1677"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jitao Qin","raw_affiliation_strings":["Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I176808543","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086179265","display_name":"Xiaorong Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Tian","raw_affiliation_strings":["Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Liaoning Technical University, Huludao 125105, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I176808543","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69997902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"35","issue":"04","first_page":"2150012","last_page":"2150012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8195881247520447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7132313251495361},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6690109968185425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6596137285232544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5752527117729187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4952913820743561},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.45642656087875366},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45636552572250366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35704392194747925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32072365283966064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1773947775363922}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8195881247520447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132313251495361},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6690109968185425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6596137285232544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5752527117729187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4952913820743561},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.45642656087875366},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45636552572250366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35704392194747925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32072365283966064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1773947775363922},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001421500129","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421500129","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W195047088","https://openalex.org/W949399104","https://openalex.org/W1988422089","https://openalex.org/W2066832805","https://openalex.org/W2087432251","https://openalex.org/W2134490011","https://openalex.org/W2188404594","https://openalex.org/W2296719434","https://openalex.org/W2496948936","https://openalex.org/W2542770903","https://openalex.org/W2743138268","https://openalex.org/W2963423448","https://openalex.org/W2983890249","https://openalex.org/W4239954780"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2090763504","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2998615029"],"abstract_inverted_index":{"In":[0],"traditional":[1],"network":[2,109],"anomaly":[3,7,22,40,145,182],"detection":[4,23,41,133,146,183],"algorithms,":[5],"the":[6,28,47,54,57,64,67,71,77,87,98,106,115,119,126,132,170,180],"threshold":[8],"needs":[9],"to":[10,38,52,130],"be":[11],"defined":[12],"manually.":[13],"Keeping":[14],"this":[15,18],"as":[16,154],"background,":[17],"study":[19],"proposes":[20],"an":[21],"algorithm":[24,139,172],"(VAEOCSVM),":[25],"which":[26],"combines":[27],"variable":[29],"auto-encoder":[30],"(VAE)":[31],"and":[32,86,103,110,157],"one-class":[33],"support":[34],"vector":[35],"machine":[36],"(OCSVM)":[37],"realize":[39,131],"in":[42,148],"industrial":[43],"control":[44],"networks.":[45],"First,":[46],"VAE":[48,72],"model":[49,73,100,121],"is":[50,74,101,122,140],"used":[51],"obtain":[53],"distribution":[55],"of":[56,70,118,134,150],"original":[58],"normal":[59],"sample":[60],"data":[61],"represented":[62,102],"by":[63,124],"low-dimensional":[65],"code;":[66],"reconstruction":[68],"error":[69],"merged":[75],"into":[76],"new":[78],"input.":[79],"Then,":[80],"using":[81,105,125,165],"OCSVM\u2019s":[82],"hinge-loss":[83],"objective":[84],"function":[85,94,117],"random":[88],"Fourier":[89],"feature":[90],"fitting":[91],"radial":[92],"basis":[93],"(RBF)":[95],"kernel":[96],"method,":[97],"OCSVM":[99,120],"solved":[104,127],"deep":[107],"neural":[108],"gradient":[111],"descent":[112],"method.":[113],"Finally,":[114],"decision":[116],"constructed":[123],"parameter":[128],"information":[129],"abnormal":[135],"data.":[136],"The":[137,162],"proposed":[138,171],"compared":[141],"with":[142],"other":[143],"machine-learning-based":[144,181],"algorithms":[147],"terms":[149],"multiple":[151],"indicators":[152],"such":[153],"precision,":[155],"recall,":[156],"[Formula:":[158],"see":[159],"text]":[160],"score.":[161],"experimental":[163],"results":[164],"various":[166],"datasets":[167],"show":[168],"that":[169],"has":[173],"a":[174],"better":[175],"outlier":[176],"recognition":[177],"ability":[178],"than":[179],"algorithms.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
