{"id":"https://openalex.org/W2909901615","doi":"https://doi.org/10.1631/fitee.1800580","title":"Fraud detection within bankcard enrollment on mobile device based payment using machine learning","display_name":"Fraud detection within bankcard enrollment on mobile device based payment using machine learning","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2909901615","doi":"https://doi.org/10.1631/fitee.1800580","mag":"2909901615"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1800580","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1800580","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","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/A5101825064","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-0869-6570"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210098154","display_name":"UnionPay (China)","ror":"https://ror.org/00vg14y34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098154"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["Department of Risk Control, China UnionPay, Shanghai, 200135, China","School of Cyber Security, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":"https://orcid.org/0000-0002-0869-6570","affiliations":[{"raw_affiliation_string":"Department of Risk Control, China UnionPay, Shanghai, 200135, China","institution_ids":["https://openalex.org/I4210098154"]},{"raw_affiliation_string":"School of Cyber Security, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023897455","display_name":"Hongfeng Chai","orcid":"https://orcid.org/0000-0002-8577-4771"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I40246663","display_name":"Chinese Academy of Engineering","ror":"https://ror.org/00z3yke57","country_code":"CN","type":"other","lineage":["https://openalex.org/I40246663"]},{"id":"https://openalex.org/I4210098154","display_name":"UnionPay (China)","ror":"https://ror.org/00vg14y34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098154"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-feng Chai","raw_affiliation_strings":["Chinese Academy of Engineering, Beijing, 100088, China","Office of Board of Directors, China UnionPay, Shanghai, 200135, China","School of Cyber Security, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Engineering, Beijing, 100088, China","institution_ids":["https://openalex.org/I40246663"]},{"raw_affiliation_string":"Office of Board of Directors, China UnionPay, Shanghai, 200135, China","institution_ids":["https://openalex.org/I4210098154"]},{"raw_affiliation_string":"School of Cyber Security, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110753352","display_name":"Maolin Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098154","display_name":"UnionPay (China)","ror":"https://ror.org/00vg14y34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098154"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao-lin Qiu","raw_affiliation_strings":["Department of Risk Control, China UnionPay, Shanghai, 200135, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Risk Control, China UnionPay, Shanghai, 200135, China","institution_ids":["https://openalex.org/I4210098154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101825064"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210098154"],"apc_list":null,"apc_paid":null,"fwci":1.5243,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.87557949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"12","first_page":"1537","last_page":"1545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7396254539489746},{"id":"https://openalex.org/keywords/mobile-payment","display_name":"Mobile payment","score":0.6792499423027039},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.550197184085846},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.5425565242767334},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5041419267654419},{"id":"https://openalex.org/keywords/financial-transaction","display_name":"Financial transaction","score":0.4969234764575958},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4434361457824707},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.440753698348999},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.42405885457992554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3224449157714844},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30037790536880493},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19069752097129822},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14472275972366333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396254539489746},{"id":"https://openalex.org/C160949748","wikidata":"https://www.wikidata.org/wiki/Q1365703","display_name":"Mobile payment","level":3,"score":0.6792499423027039},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.550197184085846},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.5425565242767334},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5041419267654419},{"id":"https://openalex.org/C164516710","wikidata":"https://www.wikidata.org/wiki/Q1166072","display_name":"Financial transaction","level":3,"score":0.4969234764575958},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4434361457824707},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.440753698348999},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.42405885457992554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3224449157714844},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30037790536880493},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19069752097129822},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14472275972366333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1800580","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1800580","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1602011302","https://openalex.org/W1966338076","https://openalex.org/W1973533434","https://openalex.org/W2009708022","https://openalex.org/W2045049630","https://openalex.org/W2088402748","https://openalex.org/W2133064331","https://openalex.org/W2148125134","https://openalex.org/W2168123127","https://openalex.org/W2230049528","https://openalex.org/W2295598076","https://openalex.org/W2466674194","https://openalex.org/W2525596522","https://openalex.org/W2583531645","https://openalex.org/W2736588040","https://openalex.org/W2786577118","https://openalex.org/W2787884921","https://openalex.org/W2793130752","https://openalex.org/W2794370042","https://openalex.org/W2802601876","https://openalex.org/W2963044043","https://openalex.org/W3102476541","https://openalex.org/W3127599935","https://openalex.org/W3143293593","https://openalex.org/W3148701971","https://openalex.org/W6600103761"],"related_works":["https://openalex.org/W2479490800","https://openalex.org/W1516624930","https://openalex.org/W2994321821","https://openalex.org/W2971739992","https://openalex.org/W1758886324","https://openalex.org/W2972238427","https://openalex.org/W3045333632","https://openalex.org/W1584799441","https://openalex.org/W3014244312","https://openalex.org/W3041256418"],"abstract_inverted_index":{"The":[0,189],"rapid":[1],"growth":[2],"of":[3,26,39,113,158],"mobile":[4,13,19,27,32,203],"Internet":[5],"technologies":[6],"has":[7,34],"induced":[8],"a":[9,50,145,174,185,198,202],"dramatic":[10],"increase":[11],"in":[12,144,168],"payments":[14],"as":[15,17],"well":[16],"concomitant":[18],"transaction":[20],"fraud.":[21],"As":[22],"the":[23,36,64,69,74,104,111,132,159,180,209],"first":[24],"step":[25],"transactions,":[28],"bankcard":[29,75],"enrollment":[30,76,160,177],"on":[31,156],"devices":[33],"become":[35],"primary":[37],"target":[38],"fraud":[40,51,65,70,205],"attempts.":[41],"Although":[42],"no":[43],"immediate":[44],"financial":[45,81],"loss":[46,115],"is":[47,107],"incurred":[48],"after":[49],"attempt,":[52],"subsequent":[53],"fraudulent":[54],"transactions":[55,167],"can":[56],"be":[57],"quickly":[58],"executed":[59],"and":[60,83,91,116,129,162,191,195],"could":[61],"easily":[62],"deceive":[63],"detection":[66,206],"systems":[67,90],"if":[68],"attempt":[71],"succeeds":[72],"at":[73],"step.":[77],"In":[78,119],"recent":[79],"years,":[80],"institutions":[82],"service":[84,95],"providers":[85],"have":[86],"implemented":[87],"rule-based":[88],"expert":[89],"adopted":[92,194],"short":[93],"message":[94],"(SMS)":[96],"user":[97],"authentication":[98],"to":[99,109,164],"address":[100],"this":[101,120],"problem.":[102],"However,":[103],"above":[105],"solution":[106],"inadequate":[108],"face":[110],"challenges":[112],"data":[114],"social":[117],"engineering.":[118],"study,":[121],"we":[122,172],"introduce":[123],"several":[124],"traditional":[125],"machine":[126],"learning":[127],"algorithms":[128],"finally":[130],"choose":[131],"improved":[133],"gradient":[134],"boosting":[135],"decision":[136],"tree":[137],"(GBDT)":[138],"algorithm":[139],"software":[140],"library":[141],"for":[142,201],"use":[143,173],"real":[146,175],"system,":[147],"namely,":[148],"XGBoost.":[149],"We":[150],"further":[151],"expand":[152],"multiple":[153],"features":[154],"based":[155],"analysis":[157],"behavior":[161],"plan":[163],"add":[165],"historical":[166],"future":[169],"studies.":[170],"Subsequently,":[171],"card":[176],"dataset":[178],"covering":[179],"year":[181],"2017,":[182],"provided":[183],"by":[184],"worldwide":[186],"payment":[187,204,211],"processor.":[188,212],"results":[190],"framework":[192],"are":[193],"absorbed":[196],"into":[197],"new":[199],"design":[200],"system":[207],"within":[208],"Chinese":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}