{"id":"https://openalex.org/W4319998055","doi":"https://doi.org/10.1109/tits.2021.3127681","title":"Intrusion Detection and Network Information Security Based on Deep Learning Algorithm in Urban Rail Transit Management System","display_name":"Intrusion Detection and Network Information Security Based on Deep Learning Algorithm in Urban Rail Transit Management System","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319998055","doi":"https://doi.org/10.1109/tits.2021.3127681"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3127681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3127681","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5006784389","display_name":"Zhongru Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118789","display_name":"Chinese Academy of Personnel Science","ror":"https://ror.org/02wstxe29","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210118789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongru Wang","raw_affiliation_strings":["Chinese Academy of Cyberspace Studies, Beijing, China","Jiangsu DigApis Technology Company Ltd, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Cyberspace Studies, Beijing, China","institution_ids":["https://openalex.org/I4210118789"]},{"raw_affiliation_string":"Jiangsu DigApis Technology Company Ltd, Nantong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050680581","display_name":"Xinzhou Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhou Xie","raw_affiliation_strings":["School of New Media, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of New Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China","College of Computer Science and Technology, National University of Defense Technology, Hunan, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Hunan, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080117023","display_name":"Shouyou Song","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210118789","display_name":"Chinese Academy of Personnel Science","ror":"https://ror.org/02wstxe29","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210118789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouyou Song","raw_affiliation_strings":["Chinese Academy of Cyberspace Studies, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Cyberspace Studies, Beijing, China","institution_ids":["https://openalex.org/I4210118789"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738315","display_name":"Zhongjie Wang","orcid":"https://orcid.org/0000-0002-9084-7373"},"institutions":[{"id":"https://openalex.org/I4210118789","display_name":"Chinese Academy of Personnel Science","ror":"https://ror.org/02wstxe29","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210118789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjie Wang","raw_affiliation_strings":["Chinese Academy of Cyberspace Studies, Beijing, China","Jiangsu DigApis Technology Company Ltd, Nantong, China","Beijing DigApis Technology Company Ltd., Beijing, China","Jiangsu DigApis Technology Company Ltd., Jiangsu, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Cyberspace Studies, Beijing, China","institution_ids":["https://openalex.org/I4210118789"]},{"raw_affiliation_string":"Jiangsu DigApis Technology Company Ltd, Nantong, China","institution_ids":[]},{"raw_affiliation_string":"Beijing DigApis Technology Company Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu DigApis Technology Company Ltd., Jiangsu, Nantong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5748,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96386105,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.998199999332428,"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":0.998199999332428,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9853000044822693,"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/urban-rail-transit","display_name":"Urban rail transit","score":0.7773406505584717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488336324691772},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5627033710479736},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5476776361465454},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5221010446548462},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5052130818367004},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.47545525431632996},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4646434783935547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3656168282032013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36390358209609985},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3047260046005249},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2934023141860962},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1987064778804779}],"concepts":[{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.7773406505584717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488336324691772},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5627033710479736},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5476776361465454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5221010446548462},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5052130818367004},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.47545525431632996},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4646434783935547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3656168282032013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390358209609985},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3047260046005249},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2934023141860962},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1987064778804779}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3127681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3127681","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2189168722","display_name":null,"funder_award_id":"62172006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G852910896","display_name":"\u65b0\u5a92\u4f53\u53d1\u5c55\u7ba1\u7406\u7406\u8bba\u4e0e\u653f\u7b56\u7814\u7a76","funder_award_id":"71633001","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2762776925","https://openalex.org/W2793486043","https://openalex.org/W2794786524","https://openalex.org/W2890474333","https://openalex.org/W2891214000","https://openalex.org/W2913330314","https://openalex.org/W2915969651","https://openalex.org/W2917796313","https://openalex.org/W2921364842","https://openalex.org/W2921685418","https://openalex.org/W2928842143","https://openalex.org/W2934625602","https://openalex.org/W2935633365","https://openalex.org/W2944406047","https://openalex.org/W2947984433","https://openalex.org/W2948108169","https://openalex.org/W2955014922","https://openalex.org/W2955805844","https://openalex.org/W2958489519","https://openalex.org/W2980674799","https://openalex.org/W2995254795","https://openalex.org/W2997627599","https://openalex.org/W3003174479","https://openalex.org/W3003685271","https://openalex.org/W3005630930","https://openalex.org/W3023238316","https://openalex.org/W3091074232","https://openalex.org/W3092448674","https://openalex.org/W3097577072","https://openalex.org/W3115360974","https://openalex.org/W3120990338","https://openalex.org/W3127521468","https://openalex.org/W3134733603","https://openalex.org/W3179240416"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0],"exploration":[1],"of":[2,7,20,52,76,99,112,115,130,159,171,216,230],"the":[3,17,21,28,49,57,67,83,89,96,100,109,116,146,156,166,178,192,203,214,227],"intrusion":[4,73,113,117],"detection":[5,74,114,118],"effect":[6],"urban":[8,25,53,77],"rail":[9,54,78,231],"transit":[10,79,232],"management":[11,80],"system":[12],"aims":[13],"to":[14,47,70],"further":[15],"improve":[16],"safety":[18,228],"performance":[19,85,163,212,229],"traffic":[22],"field":[23],"in":[24,106,234],"construction.":[26],"Thus,":[27],"deep":[29],"convolution":[30],"neural":[31,62,132],"network":[32,37,63,133],"model":[33,75,84,101,119,173,205],"AlexNet":[34,69],"with":[35],"more":[36,175],"layers":[38],"and":[39,45,92,102,145,183,191],"stronger":[40],"learning":[41],"ability":[42],"is":[43,64,86,123,139,149,174,195],"adopted":[44],"improved,":[46],"ensure":[48],"safe":[50],"operation":[51],"transit.":[55],"Meanwhile,":[56],"GRU":[58],"(Gate":[59],"Recurrent":[60],"Unit)":[61],"introduced":[65],"into":[66],"improved":[68],"build":[71],"an":[72],"system.":[81],"Finally,":[82],"verified":[87],"through":[88],"collected":[90],"data":[91,160,167,179,209],"simulation":[93],"experiments.":[94],"Through":[95],"comparative":[97],"analysis":[98,157],"other":[103,131],"scholars\u2019":[104],"models":[105],"related":[107],"fields,":[108],"recognition":[110],"accuracy":[111],"reaches":[120],"96.00%,":[121],"which":[122,220],"at":[124,141,151,198],"least":[125],"1.55%":[126],"higher":[127],"than":[128,176,189],"that":[129,165],"models.":[134],"Besides,":[135],"its":[136],"training":[137],"time":[138,148],"stable":[140,150,197],"about":[142,152,199],"55.05":[143],"seconds,":[144],"test":[147],"22.17":[153],"seconds.":[154],"Moreover,":[155],"result":[158],"transmission":[161,210],"security":[162,211],"indicates":[164],"message":[168,180],"delivery":[169],"rate":[170,182,186],"this":[172],"80%,":[177],"leakage":[181],"packet":[184],"loss":[185],"are":[187],"less":[188],"10%,":[190],"average":[193],"delay":[194],"basically":[196],"350":[200],"milliseconds.":[201],"Therefore,":[202],"constructed":[204],"can":[206,221],"achieve":[207],"high":[208],"under":[213],"premise":[215],"ensuring":[217],"prediction":[218],"accuracy,":[219],"provide":[222],"experimental":[223],"basis":[224],"for":[225],"improving":[226],"systems":[233],"smart":[235],"cities.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}