{"id":"https://openalex.org/W3175686153","doi":"https://doi.org/10.1109/tii.2021.3090362","title":"Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder","display_name":"Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3175686153","doi":"https://doi.org/10.1109/tii.2021.3090362","mag":"3175686153"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3090362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3090362","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/A5109507635","display_name":"Jongmin Dr","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongmin Dr","raw_affiliation_strings":["Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026349968","display_name":"Hyeontaek Oh","orcid":"https://orcid.org/0000-0003-0722-0762"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeontaek Oh","raw_affiliation_strings":["Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328559","display_name":"Minkyung Kim","orcid":"https://orcid.org/0000-0002-6394-8638"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minkyung Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052690644","display_name":"Sehun Jung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sehun Jung","raw_affiliation_strings":["ARMIQ Company Ltd., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ARMIQ Company Ltd., Seoul, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109507635"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.7604,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8533338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"18","issue":"3","first_page":"1541","last_page":"1551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9969000220298767,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9932000041007996,"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":0.7692290544509888},{"id":"https://openalex.org/keywords/insider-threat","display_name":"Insider threat","score":0.744559109210968},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6489214301109314},{"id":"https://openalex.org/keywords/enterprise-resource-planning","display_name":"Enterprise resource planning","score":0.5922321081161499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5662249326705933},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5550569891929626},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5401934385299683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5083743929862976},{"id":"https://openalex.org/keywords/insider","display_name":"Insider","score":0.4944121837615967},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.47161179780960083},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4705412983894348},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.4702531099319458},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.45246434211730957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4423214793205261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1934056580066681},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.17704549431800842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692290544509888},{"id":"https://openalex.org/C2776633304","wikidata":"https://www.wikidata.org/wiki/Q6038026","display_name":"Insider threat","level":3,"score":0.744559109210968},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6489214301109314},{"id":"https://openalex.org/C2777960535","wikidata":"https://www.wikidata.org/wiki/Q131508","display_name":"Enterprise resource planning","level":2,"score":0.5922321081161499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662249326705933},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5550569891929626},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5401934385299683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5083743929862976},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.4944121837615967},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.47161179780960083},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4705412983894348},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.4702531099319458},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45246434211730957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4423214793205261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1934056580066681},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.17704549431800842},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3090362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3090362","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":[],"funders":[{"id":"https://openalex.org/F4320327819","display_name":"Ministry of SMEs and Startups","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1498749478","https://openalex.org/W1522301498","https://openalex.org/W1904365287","https://openalex.org/W1924770834","https://openalex.org/W1959608418","https://openalex.org/W1960685374","https://openalex.org/W2060690494","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2100300938","https://openalex.org/W2152511329","https://openalex.org/W2158190429","https://openalex.org/W2165887572","https://openalex.org/W2171928131","https://openalex.org/W2187089797","https://openalex.org/W2191015976","https://openalex.org/W2522803339","https://openalex.org/W2538737552","https://openalex.org/W2767094836","https://openalex.org/W2772609275","https://openalex.org/W2803697594","https://openalex.org/W2808709910","https://openalex.org/W2908510526","https://openalex.org/W2949982377","https://openalex.org/W2963673968","https://openalex.org/W2963684088","https://openalex.org/W2965838158","https://openalex.org/W3026717820","https://openalex.org/W3036491774","https://openalex.org/W3039513780","https://openalex.org/W3128446401","https://openalex.org/W3129054759","https://openalex.org/W3130625521","https://openalex.org/W6631190155","https://openalex.org/W6640036494","https://openalex.org/W6640212811","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6683269077","https://openalex.org/W6685352114","https://openalex.org/W6727629398","https://openalex.org/W6745040976","https://openalex.org/W6751494907","https://openalex.org/W6753123669","https://openalex.org/W6757817989","https://openalex.org/W7046005462"],"related_works":["https://openalex.org/W2766781562","https://openalex.org/W4205304595","https://openalex.org/W2792608345","https://openalex.org/W2979782961","https://openalex.org/W308359497","https://openalex.org/W1499596878","https://openalex.org/W3136170567","https://openalex.org/W2947769183","https://openalex.org/W4387194049","https://openalex.org/W3083318772"],"abstract_inverted_index":{"Detecting":[0],"unusual":[1,85,106,149,218,227],"behaviors":[2,34,190,220],"of":[3,13,21,148,174,188,194,198],"insiders":[4],"on":[5,36,179],"enterprise":[6,25],"resource":[7],"planning":[8],"(ERP)":[9],"systems":[10,38,200],"is":[11,73,128,140],"one":[12],"the":[14,19,33,135,138,146,172,175,210],"essential":[15],"parts":[16],"to":[17,31,45,82,225],"reduce":[18],"risks":[20],"threatening":[22],"and":[23,39,65,77,126,221],"abusing":[24],"resources":[26],"by":[27,130,192],"insiders.":[28],"Many":[29],"approaches":[30,56],"detect":[32,83,217,226],"based":[35,178],"rule-based":[37],"stochastic":[40],"processes":[41],"are":[42,79],"currently":[43],"limited":[44],"empirical":[46],"monitoring":[47],"using":[48,93,134,142,184],"manually":[49],"established":[50],"algorithms":[51],"or":[52,230],"probabilistic":[53],"boundaries.":[54],"Those":[55],"need":[57],"prior":[58,71],"knowledge":[59,72],"such":[60],"as":[61],"user":[62],"permission":[63],"guideline":[64],"process":[66],"data":[67],"characteristics.":[68],"Unfortunately,":[69],"obtaining":[70],"hard":[74],"in":[75,97,202],"practice,":[76],"these":[78],"not":[80,89],"appropriate":[81],"atypical":[84],"behavior":[86,108,124,162,229],"which":[87],"can":[88,215],"be":[90,152],"clearly":[91],"defined":[92,191],"heuristic":[94],"rules.":[95],"Therefore,":[96],"this":[98],"article,":[99],"we":[100,164,181],"propose":[101],"a":[102,119,159,185],"novel":[103],"framework":[104,116,177,212],"for":[105,111,122],"insider":[107,189,219,228],"detection":[109],"(UIBD)":[110],"ERP":[112,199],"systems.":[113],"The":[114,205],"proposed":[115,176,211],"initially":[117],"derives":[118],"discriminative":[120],"model":[121,139],"normal":[123,143,155,161],"samples,":[125],"UIBD":[127],"conducted":[129],"computing":[131],"an":[132],"error":[133,147],"model.":[136],"Since":[137],"compiled":[141],"samples":[144,150],"only,":[145],"would":[151],"larger":[153],"than":[154],"ones.":[156],"To":[157,170],"derive":[158],"robust":[160],"model,":[163],"present":[165],"adversarial":[166],"recurrent":[167],"autoencoder":[168],"(ARAE).":[169],"demonstrate":[171],"efficiency":[173],"ARAE,":[180],"conduct":[182],"experiments":[183],"dataset":[186],"composed":[187],"sequences":[193],"security":[195],"audit":[196],"logs":[197],"operating":[201],"real-world":[203],"enterprises.":[204],"experimental":[206],"results":[207],"show":[208],"that":[209],"with":[213],"ARAE":[214],"successfully":[216],"outperform":[222],"other":[223],"methods":[224],"threatening.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}