{"id":"https://openalex.org/W4317821550","doi":"https://doi.org/10.3390/s23031310","title":"A Comparative Study of Time Series Anomaly Detection Models for Industrial Control Systems","display_name":"A Comparative Study of Time Series Anomaly Detection Models for Industrial Control Systems","publication_year":2023,"publication_date":"2023-01-23","ids":{"openalex":"https://openalex.org/W4317821550","doi":"https://doi.org/10.3390/s23031310","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772349"},"language":"en","primary_location":{"id":"doi:10.3390/s23031310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031310","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1310/pdf?version=1674886696","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1310/pdf?version=1674886696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050724727","display_name":"Bedeuro Kim","orcid":"https://orcid.org/0000-0003-4128-4671"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bedeuro Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4128-4671","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038399656","display_name":"Mohsen Ali Alawami","orcid":"https://orcid.org/0000-0002-1658-9716"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mohsen Ali Alawami","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1658-9716","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604437","display_name":"Eun\u2010Soo Kim","orcid":"https://orcid.org/0000-0001-9332-5653"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunsoo Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067902158","display_name":"Sanghak Oh","orcid":"https://orcid.org/0000-0002-5047-5683"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghak Oh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023535527","display_name":"Jeongyong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongyong Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016563574","display_name":"Hyoungshick Kim","orcid":"https://orcid.org/0000-0002-1605-3866"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyoungshick Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1605-3866","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016563574"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":13.228,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99218311,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"1310","last_page":"1310"},"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.8640537261962891},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6716909408569336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612451672554016},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6099920868873596},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.550483226776123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5089936256408691},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5001730918884277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44063544273376465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40141716599464417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3230108618736267}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8640537261962891},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6716909408569336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612451672554016},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6099920868873596},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.550483226776123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5089936256408691},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5001730918884277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44063544273376465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40141716599464417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3230108618736267},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031310","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1310/pdf?version=1674886696","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772349","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772349","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9921147","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9921147","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9921147/pdf/sensors-23-01310.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:45ac61b75da8488094cda984225f0afb","is_oa":true,"landing_page_url":"https://doaj.org/article/45ac61b75da8488094cda984225f0afb","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":"Sensors, Vol 23, Iss 3, p 1310 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1310/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031310","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 3; Pages: 1310","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031310","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1310/pdf?version=1674886696","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G193629969","display_name":null,"funder_award_id":"2022-0-01199","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7156997829","display_name":null,"funder_award_id":"1781000003 and No. 2022-0-01199","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4317821550.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W175120007","https://openalex.org/W1570188672","https://openalex.org/W1982359930","https://openalex.org/W1997037234","https://openalex.org/W2039148409","https://openalex.org/W2044087439","https://openalex.org/W2101609731","https://openalex.org/W2106595237","https://openalex.org/W2141050228","https://openalex.org/W2161630727","https://openalex.org/W2284373869","https://openalex.org/W2295637543","https://openalex.org/W2344510388","https://openalex.org/W2383630506","https://openalex.org/W2398119937","https://openalex.org/W2407991977","https://openalex.org/W2460752635","https://openalex.org/W2530565048","https://openalex.org/W2551233363","https://openalex.org/W2552129899","https://openalex.org/W2605014876","https://openalex.org/W2611645847","https://openalex.org/W2755148105","https://openalex.org/W2767011062","https://openalex.org/W2786088545","https://openalex.org/W2786827964","https://openalex.org/W2791969307","https://openalex.org/W2803355698","https://openalex.org/W2900906990","https://openalex.org/W2904188281","https://openalex.org/W2910314742","https://openalex.org/W2911200746","https://openalex.org/W2919115771","https://openalex.org/W2936503027","https://openalex.org/W2950361482","https://openalex.org/W2956034398","https://openalex.org/W2978355461","https://openalex.org/W2984900279","https://openalex.org/W3005893373","https://openalex.org/W3034480370","https://openalex.org/W3092030485","https://openalex.org/W3096918578","https://openalex.org/W3106543020","https://openalex.org/W3119687955","https://openalex.org/W3169450514","https://openalex.org/W3170937175","https://openalex.org/W3170981104","https://openalex.org/W3187582314","https://openalex.org/W3198258457","https://openalex.org/W3203827585","https://openalex.org/W4200037416","https://openalex.org/W4206544014","https://openalex.org/W4212795178","https://openalex.org/W4212883601","https://openalex.org/W4281785773","https://openalex.org/W4297830846","https://openalex.org/W4399647672","https://openalex.org/W6751093677","https://openalex.org/W6798931642","https://openalex.org/W6806485262","https://openalex.org/W6869608176","https://openalex.org/W7053349295","https://openalex.org/W7074076409"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,22,67,88,106,168],"has":[2],"been":[3,25,33],"known":[4],"as":[5],"an":[6],"effective":[7],"technique":[8],"to":[9,42,59,183,192],"detect":[10],"faults":[11],"or":[12],"cyber-attacks":[13],"in":[14,49,105],"industrial":[15],"control":[16],"systems":[17],"(ICS).":[18],"Therefore,":[19],"many":[20],"anomaly":[21,66,87,167],"models":[23,31,68,104],"have":[24,32],"proposed":[26],"for":[27,151],"ICS.":[28],"However,":[29],"most":[30],"implemented":[34],"and":[35,94,109,118],"evaluated":[36],"under":[37],"specific":[38],"circumstances,":[39],"which":[40],"leads":[41],"confusion":[43],"about":[44,173],"choosing":[45],"the":[46,99,103,125,132,138,146,156,159,164,176,194],"best":[47,126],"model":[48,127,186],"a":[50,61,79,185,188],"real-world":[51],"situation.":[52],"In":[53],"other":[54],"words,":[55],"there":[56],"still":[57],"needs":[58],"be":[60,181],"comprehensive":[62],"comparison":[63],"of":[64,82,102,141,149,158,166,175],"state-of-the-art":[65],"with":[69,112,131],"common":[70],"experimental":[71,121],"configurations.":[72],"To":[73],"address":[74],"this":[75],"problem,":[76],"we":[77],"conduct":[78],"comparative":[80],"study":[81],"five":[83],"representative":[84],"time":[85],"series":[86],"models:":[89],"InterFusion,":[90],"RANSynCoder,":[91],"GDN,":[92],"LSTM-ED,":[93],"USAD.":[95],"We":[96,153,170],"specifically":[97],"compare":[98],"performance":[100,165,190],"analysis":[101],"accuracy,":[107],"training,":[108],"testing":[110],"times":[111],"two":[113],"publicly":[114],"available":[115],"datasets:":[116],"SWaT":[117],"HAI.":[119,152],"The":[120],"results":[122,128],"show":[123],"that":[124,172],"are":[129],"inconsistent":[130],"datasets.":[133],"For":[134],"SWaT,":[135],"InterFusion":[136],"achieves":[137,145],"highest":[139,147],"F1-score":[140,148],"90.7%":[142],"while":[143],"RANSynCoder":[144],"82.9%":[150],"also":[154],"investigate":[155],"effects":[157],"training":[160,178,196],"set":[161,179],"size":[162],"on":[163],"models.":[169],"found":[171],"40%":[174],"entire":[177,195],"would":[180],"sufficient":[182],"build":[184],"producing":[187],"similar":[189],"compared":[191],"using":[193],"set.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":16}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
