{"id":"https://openalex.org/W4407783835","doi":"https://doi.org/10.1109/comsnets63942.2025.10885622","title":"Online payment fraud monitoring and detection: Performance analysis of tree-based Ensemble Machine Learning models","display_name":"Online payment fraud monitoring and detection: Performance analysis of tree-based Ensemble Machine Learning models","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407783835","doi":"https://doi.org/10.1109/comsnets63942.2025.10885622"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-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":null,"display_name":"Somnath Bhowmik","orcid":null},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Somnath Bhowmik","raw_affiliation_strings":["NIT Durgapur,Computer Science and Engineering,India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur,Computer Science and Engineering,India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054955742","display_name":"Jaydeep Howlader","orcid":"https://orcid.org/0000-0003-3572-8168"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaydeep Howlader","raw_affiliation_strings":["NIT Durgapur,Computer Science and Engineering,India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur,Computer Science and Engineering,India","institution_ids":["https://openalex.org/I155837530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155837530"],"apc_list":null,"apc_paid":null,"fwci":2.2283,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87466341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9404000043869019,"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":0.9404000043869019,"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":0.6948883533477783},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6323369145393372},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.5614611506462097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5392220616340637},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5254532098770142},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45028477907180786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4435510039329529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33746469020843506},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1224936842918396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948883533477783},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6323369145393372},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.5614611506462097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5392220616340637},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5254532098770142},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45028477907180786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4435510039329529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33746469020843506},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1224936842918396},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets63942.2025.10885622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W435157458","https://openalex.org/W2056132907","https://openalex.org/W2295598076","https://openalex.org/W3006782564","https://openalex.org/W3036902593","https://openalex.org/W3197003110","https://openalex.org/W4248606406","https://openalex.org/W4306796170","https://openalex.org/W4323981513","https://openalex.org/W4386984060","https://openalex.org/W4390547231","https://openalex.org/W4400762160","https://openalex.org/W4404032602","https://openalex.org/W6676769703","https://openalex.org/W6980807232"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W3134840015","https://openalex.org/W4384470695","https://openalex.org/W2900445707","https://openalex.org/W4366979180","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W3136871737"],"abstract_inverted_index":{"In":[0,24],"today\u2019s":[1],"world":[2],"of":[3,15,40,56,71,81,100,117,133,141,233,247],"digital":[4,19,41,125],"transformation":[5],"in":[6,87,222],"business,":[7],"driven":[8],"by":[9,73,76,148],"rapid":[10],"technological":[11],"advancement,":[12],"the":[13,29,53,98,115,131,142,149,163,195,209,231],"use":[14,55,70,232],"electronic":[16],"commerce":[17],"and":[18,32,62,78,104,108,139,180,200,225,228,244],"banking":[20,31],"is":[21,35],"ever":[22],"increasing.":[23,67],"line":[25],"with":[26,90],"global":[27],"trends,":[28],"Indian":[30],"financial":[33,95],"sector":[34],"experiencing":[36],"a":[37],"major":[38],"adoption":[39],"payments,":[42,58],"be":[43],"it":[44],"smaller":[45],"retail":[46],"payments":[47],"or":[48],"high-value":[49],"corporate":[50],"payments.":[51],"With":[52],"increasing":[54],"online":[57],"money":[59],"laundering,":[60],"cyberattacks,":[61],"other":[63,154],"fraudulent":[64,82,226,248],"activities":[65],"are":[66,208],"The":[68,204,217],"innovative":[69],"technology":[72],"fraudsters,":[74],"aided":[75],"dynamic":[77],"irregular":[79],"patterns":[80],"activities,":[83],"poses":[84],"additional":[85],"challenges":[86],"identifying":[88],"frauds":[89],"high":[91],"accuracy.":[92],"Hence,":[93],"preventing":[94],"fraud":[96,106,134],"requires":[97],"implementation":[99],"secured":[101],"payment":[102,126,215,249],"systems":[103],"efficient":[105],"detection":[107,246],"monitoring":[109,243],"systems.This":[110],"study":[111,138],"delves":[112],"into":[113,159],"analyzing":[114],"results":[116,218],"applying":[118],"ensemble-based":[119],"Machine":[120],"Learning":[121],"(ML)":[122],"methods":[123],"to":[124,129,167],"transactions,":[127,227],"aiming":[128],"enhance":[130],"accuracy":[132],"detection.":[135],"A":[136],"recent":[137],"review":[140],"existing":[143],"literature":[144],"show":[145,219],"better":[146],"performance":[147],"Decision":[150],"Tree":[151,177],"algorithm":[152,166],"over":[153],"ML":[155],"models.":[156],"Taking":[157],"this":[158],"account,":[160],"we":[161],"used":[162,207],"decision":[164],"tree":[165],"further":[168],"build":[169],"tree-based":[170,234],"ensemble":[171,235],"models,":[172],"namely":[173],"Random":[174],"Forest,":[175],"Gradient":[176],"Boosting,":[178],"AdaBoost,":[179],"XGBoost.":[181],"We":[182],"analyze":[183],"seven":[184],"evaluation":[185],"metrics:":[186],"Precision,":[187],"Recall,":[188],"F-score,":[189],"Accuracy,":[190],"Misclassification":[191],"Error,":[192],"Area":[193],"Under":[194],"Receiver":[196],"Operating":[197],"Characteristic":[198],"Curve,":[199],"Cohen":[201],"Kappa":[202],"score.":[203],"data":[205],"sets":[206],"National":[210],"Electronic":[211],"Fund":[212],"Transfer":[213],"(NEFT)":[214],"transactions.":[216,250],"encouraging":[220],"scores":[221],"segregating":[223],"valid":[224],"thereby":[229],"suggest":[230],"models":[236],"as":[237],"an":[238],"effective":[239],"tool":[240],"for":[241],"continuous":[242],"early":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
