{"id":"https://openalex.org/W3034223580","doi":"https://doi.org/10.24963/ijcai.2020/636","title":"The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert","display_name":"The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034223580","doi":"https://doi.org/10.24963/ijcai.2020/636","mag":"3034223580"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/636","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/636","pdf_url":"https://www.ijcai.org/proceedings/2020/0636.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0636.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417007","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-4752-0316"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng WANG","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China","Shanghai Institute of Intelligent Science and Technology, Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Shanghai Institute of Intelligent Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100417007"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I1327237609"],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72755792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4611","last_page":"4618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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/payment","display_name":"Payment","score":0.6536651253700256},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6411634683609009},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6045525670051575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.560496985912323},{"id":"https://openalex.org/keywords/ex-ante","display_name":"Ex-ante","score":0.5424621105194092},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4325963258743286},{"id":"https://openalex.org/keywords/interim","display_name":"Interim","score":0.4259999990463257},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.37646573781967163},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.14099296927452087},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12061667442321777},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.08098116517066956}],"concepts":[{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6536651253700256},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6411634683609009},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6045525670051575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560496985912323},{"id":"https://openalex.org/C122251271","wikidata":"https://www.wikidata.org/wiki/Q940039","display_name":"Ex-ante","level":2,"score":0.5424621105194092},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4325963258743286},{"id":"https://openalex.org/C2776957806","wikidata":"https://www.wikidata.org/wiki/Q4895105","display_name":"Interim","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.37646573781967163},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.14099296927452087},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12061667442321777},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.08098116517066956},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/636","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/636","pdf_url":"https://www.ijcai.org/proceedings/2020/0636.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/636","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/636","pdf_url":"https://www.ijcai.org/proceedings/2020/0636.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1754873590","display_name":"\u9762\u5411\u7ebf\u4e0a\u8eab\u4efd\u8ba4\u8bc1\u7684\u7528\u6237\u5408\u6210\u884c\u4e3a\u5efa\u6a21\u53ca\u6027\u80fd\u57fa\u672c\u6781\u9650\u7814\u7a76","funder_award_id":"61972287","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"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034223580.pdf","grobid_xml":"https://content.openalex.org/works/W3034223580.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1910034139","https://openalex.org/W2295598076","https://openalex.org/W2604968786","https://openalex.org/W2626675245","https://openalex.org/W2756359217","https://openalex.org/W2778746621","https://openalex.org/W2789419008","https://openalex.org/W2794604966","https://openalex.org/W2806534322","https://openalex.org/W2883528737","https://openalex.org/W2889403065","https://openalex.org/W2896916493","https://openalex.org/W2898963020","https://openalex.org/W2930363294","https://openalex.org/W2950289837","https://openalex.org/W2963236854","https://openalex.org/W2963523189","https://openalex.org/W2964184494","https://openalex.org/W2972156159","https://openalex.org/W2979743032","https://openalex.org/W2998150042","https://openalex.org/W3102015031","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W1969630132","https://openalex.org/W2901809887","https://openalex.org/W4239271673","https://openalex.org/W4242296308","https://openalex.org/W2059665379","https://openalex.org/W4396667065","https://openalex.org/W2366404685","https://openalex.org/W2391015470","https://openalex.org/W4387389211","https://openalex.org/W2059272164"],"abstract_inverted_index":{"As":[0],"a":[1,63,66,147,166,172,208,223],"matter":[2],"of":[3,14,54,62,106,145,157,188,218],"fact,":[4],"it":[5,212],"is":[6,17,57,76,89,93,138,150,200],"usually":[7],"taken":[8],"for":[9,19],"granted":[10],"that":[11,45,77,90,178],"the":[12,20,60,104,118,155,158,179,189,197],"occurrence":[13,156],"unauthorized":[15,49],"behaviors":[16,50,105],"necessary":[18],"fraud":[21,71,120],"detection":[22,181,205],"in":[23,34,68,124],"online":[24,69,78],"payment":[25,70,79],"services.":[26],"However,":[27],"we":[28,109],"seek":[29],"to":[30,39,116,206],"break":[31],"this":[32,35],"stereotype":[33],"work.":[36],"We":[37,161],"strive":[38],"design":[40],"an":[41,111,125,142,203],"ex-ante":[42,119,180],"anti-fraud":[43,210],"method":[44,164,182,199],"can":[46,183,213],"work":[47],"before":[48,154,192],"occur.":[51,195],"The":[52,73,135],"feasibility":[53],"our":[55,163],"solution":[56],"supported":[58],"by":[59,84],"cooperation":[61],"characteristic":[64,75],"and":[65,130],"finding":[67,88],"scenarios:":[72],"well-recognized":[74],"frauds":[80],"are":[81],"mostly":[82],"caused":[83],"account":[85,91,112],"compromise.":[86],"Our":[87],"theft":[92],"indeed":[94],"predictable":[95],"based":[96],"on":[97,103,165],"users'":[98],"high-risk":[99],"behaviors,":[100],"without":[101],"relying":[102],"thieves.":[107],"Accordingly,":[108],"propose":[110],"risk":[113,133,136],"prediction":[114],"scheme":[115],"realize":[117],"detection.":[121],"It":[122],"takes":[123],"account's":[126],"historical":[127],"transaction":[128,149,169],"sequence,":[129],"outputs":[131],"its":[132],"score.":[134],"score":[137],"then":[139],"used":[140],"as":[141],"early":[143],"evidence":[144],"whether":[146],"new":[148,159],"fraudulent":[151,190,219],"or":[152],"not,":[153],"transaction.":[160],"examine":[162],"real-world":[167],"B2C":[168],"dataset":[170],"from":[171],"commercial":[173],"bank.":[174],"Experimental":[175],"results":[176],"show":[177],"prevent":[184],"more":[185,215],"than":[186,216,230],"80\\%":[187],"transactions":[191,220],"they":[193],"actually":[194],"When":[196],"proposed":[198],"combined":[201],"with":[202],"interim":[204],"form":[207],"real-time":[209],"system,":[211],"detect":[214],"94\\%":[217],"while":[221],"maintaining":[222],"very":[224],"low":[225],"false":[226],"alarm":[227],"rate":[228],"(less":[229],"0.1\\%).":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}