{"id":"https://openalex.org/W3202642857","doi":"https://doi.org/10.1145/3440943.3444743","title":"Study on Anomaly Detection Technique in an Industrial Control System Based on Machine Learning","display_name":"Study on Anomaly Detection Technique in an Industrial Control System Based on Machine Learning","publication_year":2020,"publication_date":"2020-12-12","ids":{"openalex":"https://openalex.org/W3202642857","doi":"https://doi.org/10.1145/3440943.3444743","mag":"3202642857"},"language":"en","primary_location":{"id":"doi:10.1145/3440943.3444743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440943.3444743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","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/A5030864019","display_name":"Janghoon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Janghoon Kim","raw_affiliation_strings":["Department of Information Security Engineering, Soonchunhyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014427404","display_name":"Hyunpyo Choi","orcid":"https://orcid.org/0000-0002-1878-9922"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunpyo Choi","raw_affiliation_strings":["Department of Information Security Engineering, Soonchunhyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055766787","display_name":"Jiho Shin","orcid":"https://orcid.org/0000-0002-2697-8221"},"institutions":[{"id":"https://openalex.org/I323440827","display_name":"Korean National Police University","ror":"https://ror.org/02s89kd69","country_code":"KR","type":"education","lineage":["https://openalex.org/I323440827"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiho Shin","raw_affiliation_strings":["Police Science Institute, Korean National Police University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Police Science Institute, Korean National Police University, South Korea","institution_ids":["https://openalex.org/I323440827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051250672","display_name":"Jung Taek Seo","orcid":"https://orcid.org/0000-0003-0971-8548"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Taek Seo","raw_affiliation_strings":["Department of Information Security Engineering, Soonchunhyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]}],"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":3,"citation_normalized_percentile":{"value":0.71935155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9968000054359436,"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":0.9907000064849854,"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":0.7850751876831055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202209234237671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081077098846436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6736748814582825},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5778540968894958},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5427563190460205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5221683979034424},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4959891736507416},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.49301716685295105},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.49188876152038574},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4516892731189728},{"id":"https://openalex.org/keywords/industrial-control-system","display_name":"Industrial control system","score":0.44652628898620605},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2992309629917145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13191473484039307}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7850751876831055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202209234237671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081077098846436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6736748814582825},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5778540968894958},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5427563190460205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5221683979034424},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4959891736507416},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49301716685295105},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.49188876152038574},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4516892731189728},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.44652628898620605},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2992309629917145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13191473484039307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3440943.3444743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440943.3444743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","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":8,"referenced_works":["https://openalex.org/W1989429174","https://openalex.org/W2067185050","https://openalex.org/W2122301654","https://openalex.org/W2296719434","https://openalex.org/W2768348081","https://openalex.org/W2782213427","https://openalex.org/W2918639172","https://openalex.org/W3016241755"],"related_works":["https://openalex.org/W3148060700","https://openalex.org/W3080681248","https://openalex.org/W4376646226","https://openalex.org/W4287685660","https://openalex.org/W3047177827","https://openalex.org/W2057778272","https://openalex.org/W206706326","https://openalex.org/W4319302697","https://openalex.org/W2986085304","https://openalex.org/W2163389298"],"abstract_inverted_index":{"This":[0],"study":[1,33,123],"proposed":[2,70],"an":[3,8],"anomaly":[4,126],"detection":[5,127],"technique":[6,71],"in":[7,36,74,118,129],"industrial":[9,37,130],"control":[10,38,131],"system":[11],"using":[12],"supervised":[13,52],"and":[14,55,60,88,90,92,103,121],"unsupervised":[15,64],"machine":[16],"learning":[17,44,53,65],"algorithms.":[18],"For":[19,42],"the":[20,24,32,43,101,109,137],"dataset":[21,29],"for":[22,31,125],"learning,":[23],"HIL-based":[25],"Augmented":[26],"ICS":[27],"(HAI)":[28],"provided":[30],"on":[34,136],"security":[35],"systems":[39,132],"was":[40,106],"used.":[41],"model,":[45],"Light":[46],"Gradient":[47],"Boosted":[48],"Machine":[49,59],"--":[50],"a":[51],"algorithm":[54,102],"One-Class":[56],"Support":[57],"Vector":[58],"Isolation":[61],"Forest":[62],"as":[63,80],"algorithms":[66],"were":[67,133],"employed.":[68],"The":[69,96],"is":[72,78],"presented":[73,134],"this":[75],"paper,":[76],"which":[77],"organized":[79],"follows:":[81],"Feature":[82],"selection,":[83],"Data":[84],"preprocessing,":[85],"Hyperparameter":[86],"optimization":[87],"verification,":[89],"Experiment":[91],"analysis":[93],"of":[94],"results.":[95,111,139],"performance":[97],"difference":[98],"according":[99],"to":[100,115],"model":[104,119],"configuration":[105,120],"exhibited":[107],"through":[108],"experimental":[110,138],"In":[112],"addition,":[113],"issues":[114],"be":[116],"considered":[117],"future":[122],"directions":[124],"techniques":[128],"based":[135]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}