{"id":"https://openalex.org/W7128608206","doi":"https://doi.org/10.1109/icnsc66229.2025.00050","title":"Machine Learning-Based Research for Safety Data Network Anomaly Detection","display_name":"Machine Learning-Based Research for Safety Data Network Anomaly Detection","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7128608206","doi":"https://doi.org/10.1109/icnsc66229.2025.00050"},"language":null,"primary_location":{"id":"doi:10.1109/icnsc66229.2025.00050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc66229.2025.00050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112643133","display_name":"Yefei Luo","orcid":"https://orcid.org/0000-0003-0912-976X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefei Luo","raw_affiliation_strings":["School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047889","display_name":"Yi-Xiang Wang","orcid":"https://orcid.org/0000-0001-5697-0717"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026196907","display_name":"Fei Du","orcid":"https://orcid.org/0000-0002-9989-8230"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Du","raw_affiliation_strings":["School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106670276","display_name":"Jianxing Liu","orcid":"https://orcid.org/0000-0002-2201-3887"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Liu","raw_affiliation_strings":["School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636115","display_name":"Baigen Cai","orcid":"https://orcid.org/0000-0002-6440-005X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baigen Cai","raw_affiliation_strings":["School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beiiing Jiaotong University,Beiiing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125667841","display_name":"Xingtao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100976","display_name":"BOE Technology Group (China)","ror":"https://ror.org/01cwwvj38","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210100976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingtao Zhou","raw_affiliation_strings":["Beijing Daoer Science and Technology Co., Ltd,Beijing,China,100070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Daoer Science and Technology Co., Ltd,Beijing,China,100070","institution_ids":["https://openalex.org/I4210100976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.22030000388622284,"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":0.22030000388622284,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.10170000046491623,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.1006999984383583,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6200000047683716},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5716999769210815},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4700999855995178},{"id":"https://openalex.org/keywords/safety-monitoring","display_name":"Safety monitoring","score":0.4223000109195709},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.40540000796318054},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.33219999074935913},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6200000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5879999995231628},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5716999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370000004768372},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43650001287460327},{"id":"https://openalex.org/C2777488183","wikidata":"https://www.wikidata.org/wiki/Q6900510","display_name":"Safety monitoring","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.40540000796318054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38940000534057617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36059999465942383},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc66229.2025.00050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc66229.2025.00050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2008416345","display_name":null,"funder_award_id":"U2468202,T2222015,T2422002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7058135391","display_name":null,"funder_award_id":"2025ZYCX015","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7263421032","display_name":null,"funder_award_id":"2022YFB4300500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"safety":[1,73,92],"data":[2,15,32,74,93],"network":[3,94],"plays":[4],"an":[5,85,151],"indispensable":[6,179],"role":[7,180],"in":[8,44,184],"the":[9,20,47,51,55,70,91,107,110,157,169,178,186],"railway":[10,189],"signal":[11,190],"system,":[12,24],"transmitting":[13],"key":[14],"about":[16],"train":[17],"operation.":[18],"However,":[19],"current":[21],"existing":[22],"monitoring":[23,185],"Element":[25],"Management":[26],"System":[27],"(EMS),":[28],"can":[29],"only":[30],"detect":[31],"such":[33,137],"as":[34,138],"equipment":[35],"status,":[36],"but":[37],"is":[38,59],"unable":[39],"to":[40,61,68,105,166],"monitor":[41,167],"sudden":[42],"changes":[43],"traffic":[45,71],"within":[46],"channel":[48],"or":[49],"perceive":[50],"health":[52],"status":[53],"of":[54,72,109,161,171,181,188],"channel.":[56],"Therefore,":[57],"it":[58],"crucial":[60],"develop":[62],"a":[63],"robust":[64],"anomaly":[65,86],"detection":[66,87],"method":[67],"assess":[69],"networks.":[75],"To":[76],"solve":[77],"this":[78,80],"problem,":[79],"article":[81],"studies":[82],"and":[83,103,130,144,176],"proposes":[84,165],"system":[88],"framework":[89],"for":[90],"(ADSSDN).":[95],"Different":[96],"machine":[97],"learning":[98],"methods":[99,114],"have":[100],"been":[101],"implemented":[102],"tested":[104],"enhance":[106],"performance":[108],"proposed":[111],"system.":[112],"These":[113],"include":[115],"DT(Decision":[116],"Tree),":[117],"LR":[118],"(Logistic":[119],"Regression),":[120],"RF(Random":[121],"Forest),":[122],"AdaBoost":[123],"(Adaptive":[124],"Boosting),":[125],"LightGBM(Light":[126],"Gradient":[127,132],"Boosting":[128],"Machine),":[129],"XGBoost(Extreme":[131],"Boosting).":[133],"Comprehensive":[134],"evaluation":[135],"metrics":[136],"Precision,":[139],"Recall":[140],"rate,":[141],"Accuracy,":[142],"F1-score,":[143],"AUC":[145],"indicate":[146],"that":[147],"XGoost":[148],"consistently":[149],"has":[150],"advantage":[152],"over":[153],"simulation":[154],"datasets,":[155],"achieving":[156],"highest":[158],"accuracy":[159],"rate":[160],"99.69%.":[162],"This":[163],"research":[164],"from":[168],"perspective":[170],"abnormal":[172],"device":[173],"communication":[174],"sessions,":[175],"highlights":[177],"ML":[182],"technology":[183],"resilience":[187],"systems.":[191]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-12T00:00:00"}