{"id":"https://openalex.org/W4403510445","doi":"https://doi.org/10.1109/tii.2024.3470902","title":"Causal Inference-Based Adversarial Domain Adaptation for Cross-Domain Industrial Intrusion Detection","display_name":"Causal Inference-Based Adversarial Domain Adaptation for Cross-Domain Industrial Intrusion Detection","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403510445","doi":"https://doi.org/10.1109/tii.2024.3470902"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3470902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3470902","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","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/A5077607914","display_name":"Yongle Chen","orcid":"https://orcid.org/0000-0002-1000-1109"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongle Chen","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101215337","display_name":"Yubo Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubo Ji","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694836","display_name":"Haoran Wang","orcid":"https://orcid.org/0009-0000-1505-1191"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112838168","display_name":"Xiaoyan Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Hao","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651654","display_name":"Yuli Yang","orcid":"https://orcid.org/0000-0003-1833-2129"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuli Yang","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568942","display_name":"Yao Ma","orcid":"https://orcid.org/0000-0002-4985-8724"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Ma","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082075857","display_name":"Dan Yu","orcid":"https://orcid.org/0000-0003-0999-8543"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yu","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5077607914"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":1.8185,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8770113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"21","issue":"1","first_page":"970","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9914000034332275,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9771000146865845,"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/adversarial-system","display_name":"Adversarial system","score":0.7496786117553711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6749614477157593},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6377286314964294},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6237128973007202},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6144140958786011},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5995652675628662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674215018749237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4416523277759552},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4171847701072693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36259618401527405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14998698234558105},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09040305018424988}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7496786117553711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749614477157593},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6377286314964294},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6237128973007202},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6144140958786011},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5995652675628662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674215018749237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4416523277759552},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4171847701072693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36259618401527405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14998698234558105},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09040305018424988},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3470902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3470902","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1316732057","display_name":null,"funder_award_id":"62472302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W195047088","https://openalex.org/W2102688888","https://openalex.org/W2149466042","https://openalex.org/W2946737926","https://openalex.org/W2964288524","https://openalex.org/W2965561013","https://openalex.org/W2990536252","https://openalex.org/W2995121266","https://openalex.org/W2998115938","https://openalex.org/W3004205097","https://openalex.org/W3034771037","https://openalex.org/W3092093850","https://openalex.org/W3104199920","https://openalex.org/W3135165465","https://openalex.org/W3163895120","https://openalex.org/W3169117630","https://openalex.org/W4293370949","https://openalex.org/W4313151601","https://openalex.org/W6630846680","https://openalex.org/W6634441602","https://openalex.org/W6683167872","https://openalex.org/W6773644718"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4394775207"],"abstract_inverted_index":{"The":[0],"intrusion":[1],"detection":[2,34,62,170],"system":[3,15],"(IDS)":[4],"ensures":[5],"the":[6,12,20,27,33,37,41,61,65,79,89,140,145,151,154,159,169,175,178,192,196],"safe":[7],"and":[8,26,83,94,109,166,191,202],"stable":[9],"operation":[10],"of":[11,22,29,36,44,147,153,171,186,195],"industrial":[13],"control":[14],"(ICS).":[16],"However,":[17],"due":[18],"to":[19,59],"lack":[21],"data":[23,66,90,149],"in":[24,88,139,158,174],"ICS":[25,45,156,180],"influences":[28],"numerous":[30],"communication":[31],"protocols,":[32],"performance":[35],"IDS":[38,97,125],"constructed":[39,99],"with":[40,126],"unbalanced":[42],"dataset":[43],"is":[46,57,73,98],"limited.":[47],"In":[48,168],"this":[49],"article,":[50],"a":[51,121,127],"causal":[52,76],"inference-based":[53],"adversarial":[54],"adaptive":[55],"approach":[56],"proposed":[58],"improve":[60],"performance.":[63],"First,":[64],"feature":[67],"space":[68],"mapping":[69],"between":[70],"cross-domain":[71,148,161,198],"datasets":[72],"realized":[74],"through":[75,100],"inference.":[77],"Second,":[78],"graph":[80],"structure":[81],"relationship":[82],"time":[84],"series":[85],"features":[86,91,108],"contained":[87],"are":[92],"mined":[93],"two-dimensional.":[95],"Finally,":[96],"common":[101],"domain-adversarial":[102],"transfer":[103],"learning":[104],"based":[105,111],"on":[106,112],"high-impact":[107],"fine-tuning":[110],"remaining":[113],"features.":[114],"This":[115],"method":[116],"can":[117],"not":[118],"only":[119],"construct":[120],"cross-application":[122],"or":[123],"cross-protocol":[124],"high":[128],"F1-score":[129,185],"for":[130,144,188],"imbalanced":[131],"data,":[132],"but":[133],"also":[134],"detect":[135],"some":[136],"new":[137,172],"attacks":[138,173,190],"target":[141,176],"domain.":[142],"As":[143],"problem":[146],"imbalance,":[150],"F1-scores":[152,194],"trained":[155,179],"model":[157,181],"two":[160,197],"tasks":[162,199],"respectively":[163],"reached":[164,200],"97.27%":[165],"97.78%.":[167],"domain,":[177],"achieved":[182],"an":[183],"average":[184],"97%":[187],"known":[189],"best":[193],"90%":[201],"56%.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
