{"id":"https://openalex.org/W2996222779","doi":"https://doi.org/10.1093/jigpal/jzz053","title":"Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions","display_name":"Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions","publication_year":2019,"publication_date":"2019-11-10","ids":{"openalex":"https://openalex.org/W2996222779","doi":"https://doi.org/10.1093/jigpal/jzz053","mag":"2996222779"},"language":"en","primary_location":{"id":"doi:10.1093/jigpal/jzz053","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzz053","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","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/A5110651614","display_name":"Seul-Gi Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seul-Gi Choi","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108081550","display_name":"Sung\u2010Bae Cho","orcid":"https://orcid.org/0000-0002-7027-2429"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":0.5331,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70723664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"28","issue":"4","first_page":"449","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"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":0.8558540940284729},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7922577857971191},{"id":"https://openalex.org/keywords/relational-database-management-system","display_name":"Relational database management system","score":0.6026372313499451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5748171806335449},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5292251110076904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5134066343307495},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.4740467071533203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46930697560310364},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4620238244533539},{"id":"https://openalex.org/keywords/insider-threat","display_name":"Insider threat","score":0.4465574026107788},{"id":"https://openalex.org/keywords/insider","display_name":"Insider","score":0.413927286863327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3865365982055664},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3529898524284363},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3291061520576477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8558540940284729},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7922577857971191},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.6026372313499451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5748171806335449},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5292251110076904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5134066343307495},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.4740467071533203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46930697560310364},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4620238244533539},{"id":"https://openalex.org/C2776633304","wikidata":"https://www.wikidata.org/wiki/Q6038026","display_name":"Insider threat","level":3,"score":0.4465574026107788},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.413927286863327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3865365982055664},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3529898524284363},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3291061520576477},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jigpal/jzz053","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzz053","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W44465109","https://openalex.org/W46332219","https://openalex.org/W165295313","https://openalex.org/W1481547447","https://openalex.org/W1554374928","https://openalex.org/W1658853941","https://openalex.org/W1660903906","https://openalex.org/W1729456038","https://openalex.org/W1807157444","https://openalex.org/W1967682684","https://openalex.org/W1978845641","https://openalex.org/W1987856704","https://openalex.org/W1991231882","https://openalex.org/W2002435616","https://openalex.org/W2030128230","https://openalex.org/W2033599479","https://openalex.org/W2055942425","https://openalex.org/W2071806120","https://openalex.org/W2074192731","https://openalex.org/W2089303860","https://openalex.org/W2100215068","https://openalex.org/W2103317919","https://openalex.org/W2111116266","https://openalex.org/W2148488647","https://openalex.org/W2153463254","https://openalex.org/W2156728410","https://openalex.org/W2168683140","https://openalex.org/W2471273676","https://openalex.org/W2614763420","https://openalex.org/W2788332681","https://openalex.org/W2790587587","https://openalex.org/W2998349125","https://openalex.org/W6601733706","https://openalex.org/W6601814988","https://openalex.org/W6628990124","https://openalex.org/W6633098902","https://openalex.org/W6637161575","https://openalex.org/W6642288742","https://openalex.org/W6647157225","https://openalex.org/W6647887605","https://openalex.org/W6651158490","https://openalex.org/W6664686927","https://openalex.org/W6675844770","https://openalex.org/W6682044388","https://openalex.org/W6682806312","https://openalex.org/W6683225304","https://openalex.org/W6738119479"],"related_works":["https://openalex.org/W2766781562","https://openalex.org/W4205304595","https://openalex.org/W2979782961","https://openalex.org/W308359497","https://openalex.org/W1499596878","https://openalex.org/W3136170567","https://openalex.org/W2947769183","https://openalex.org/W2018332730","https://openalex.org/W1575529579","https://openalex.org/W3022423983"],"abstract_inverted_index":{"Abstract":[0],"Relational":[1],"database":[2,10,58],"management":[3],"system":[4,61],"(RDBMS)":[5],"is":[6,13,36,116],"the":[7,99,102,108,111,134,142,146,162,170,173],"most":[8],"popular":[9],"system.":[11],"It":[12,35],"important":[14],"to":[15,38,66,107],"maintain":[16],"data":[17,23],"security":[18],"from":[19],"information":[20],"leakage":[21],"and":[22,49,78,91,101,121,124,167],"corruption.":[24],"RDBMS":[25],"can":[26,63],"be":[27,64],"attacked":[28],"by":[29,176],"an":[30,33,40,56,88,92],"outsider":[31],"or":[32],"insider.":[34],"difficult":[37],"detect":[39],"insider":[41,68],"attack":[42],"because":[43],"its":[44],"patterns":[45,120],"are":[46],"constantly":[47],"changing":[48],"evolving.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,168],"propose":[55],"adaptive":[57],"intrusion":[59,147],"detection":[60,109],"that":[62,133],"resistant":[65],"potential":[67],"misuse":[69],"using":[70,149],"evolutionary":[71,79],"reinforcement":[72,76,125],"learning,":[73],"which":[74],"combines":[75],"learning":[77,115,126],"learning.":[80,129],"The":[81,95,158],"model":[82,144],"consists":[83],"of":[84,110,172],"two":[85],"neural":[86],"networks,":[87],"evaluation":[89,103],"network":[90,97,104],"action":[93,96,112],"network.":[94,113],"detects":[98],"intrusion,":[100],"provides":[105],"feedback":[106],"Evolutionary":[114],"effective":[117],"for":[118,136],"dynamic":[119],"atypical":[122],"patterns,":[123],"enables":[127],"online":[128],"Experimental":[130],"results":[131],"show":[132],"performance":[135,152,164],"detecting":[137],"abnormal":[138],"queries":[139],"improves":[140],"as":[141],"proposed":[143,159,174],"learns":[145],"adaptively":[148],"Transaction":[150],"Processing":[151],"Council-E":[153],"scenario-based":[154],"virtual":[155],"query":[156],"data.":[157],"method":[160,175],"achieves":[161],"highest":[163],"at":[165],"94.86%,":[166],"demonstrate":[169],"usefulness":[171],"performing":[177],"5-fold":[178],"cross-validation.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}