{"id":"https://openalex.org/W6930856473","doi":"https://doi.org/10.5281/zenodo.15374617","title":"THE AI SHIELD: DETECTING FINANCIAL CRIMES IN REAL-TIME","display_name":"THE AI SHIELD: DETECTING FINANCIAL CRIMES IN REAL-TIME","publication_year":2025,"publication_date":"2025-05-09","ids":{"openalex":"https://openalex.org/W6930856473","doi":"https://doi.org/10.5281/zenodo.15374617"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.15374617","doi":"https://doi.org/10.5281/zenodo.15374617","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15374617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.15374617","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016009329","display_name":"S.K. Manju Bargavi","orcid":"https://orcid.org/0000-0001-7112-5810","observed_orcids":["https://orcid.org/0000-0001-7112-5810"]},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dr.S. K Manju Bargavi","raw_affiliation_strings":["Professor, Department of Computer Science and  IT, JAIN (Deemed to be University), Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, Department of Computer Science and  IT, JAIN (Deemed to be University), Bangalore","institution_ids":["https://openalex.org/I106826634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016009329"],"corresponding_institution_ids":["https://openalex.org/I106826634"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30985716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9409000277519226,"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":0.9409000277519226,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.029400000348687172,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.006200000178068876,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/financial-fraud-detection","display_name":"financial fraud detection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/real-time-fraud-detection","display_name":"real-time fraud detection","score":0.8999999761581421},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.9520000219345093},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"predictive analytics","score":0.9950000047683716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.6019999980926514},{"id":"https://openalex.org/keywords/blockchain-security","display_name":"blockchain security","score":0.7160000205039978},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.843999981880188},{"id":"https://openalex.org/keywords/privacy","display_name":"privacy","score":0.5509999990463257},{"id":"https://openalex.org/keywords/adversarial-attacks","display_name":"adversarial attacks","score":0.9959999918937683},{"id":"https://openalex.org/keywords/banking","display_name":"banking sector","score":0.8379999995231628},{"id":"https://openalex.org/keywords/insurance","display_name":"insurance","score":0.9369999766349792},{"id":"https://openalex.org/keywords/stock-trading","display_name":"stock trading","score":0.9150000214576721},{"id":"https://openalex.org/keywords/e-commerce","display_name":"e-commerce","score":1.0}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6744999885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569599986076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509999990463257},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41819998621940613},{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C540431452","wikidata":"https://www.wikidata.org/wiki/Q16319025","display_name":"FinTech","level":3,"score":0.2906000018119812},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.15374617","doi":"https://doi.org/10.5281/zenodo.15374617","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15374617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.15374618","doi":"https://doi.org/10.5281/zenodo.15374618","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15374618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.15374617","doi":"https://doi.org/10.5281/zenodo.15374617","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15374617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.7732547521591187}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"As":[1],"the":[2,13,72],"number":[3],"of":[4,15,75],"digital":[5],"transactions":[6],"surges,":[7],"so":[8],"does":[9],"financial":[10],"fraud,":[11],"revealing":[12],"shortcomings":[14],"traditional":[16],"rule-based":[17],"detection":[18,53],"systems.":[19],"Artificial":[20,100],"Intelligence,":[21],"with":[22],"its":[23],"ability":[24],"to":[25,62],"analyze":[26],"real-time":[27],"data":[28],"and":[29,41,54,67,70,83],"learn":[30],"from":[31],"patterns,":[32],"has":[33],"emerged":[34],"as":[35],"a":[36],"powerful":[37],"method":[38],"for":[39,90],"detecting":[40],"mitigating":[42],"fraud.":[43],"This":[44],"paper":[45],"discusses":[46],"techniques":[47],"driven":[48],"by":[49],"AI,":[50],"including":[51],"anomaly":[52],"predictive":[55],"analytics,":[56],"delves":[57],"into":[58],"challenges":[59],"that":[60],"need":[61],"be":[63],"addressed":[64],"(e.g.,":[65],"privacy":[66],"adversarial":[68],"attacks),":[69],"highlights":[71],"current":[73],"state":[74],"real-world":[76],"applications":[77],"across":[78],"banking,":[79],"insurance,":[80],"stock":[81],"trading,":[82],"e-commerce.":[84],"Finally,":[85],"we":[86],"discuss":[87],"future":[88],"directions":[89],"enhancing":[91],"AI's":[92],"role":[93],"in":[94],"fraud":[95],"detection..":[96],"Keywords:":[97],"Anomaly":[98],"Detection,":[99,110],"Intelligence":[101],"(AI),":[102],"Blockchain":[103],"Security,":[104],"Deep":[105],"Learning":[106,112],"(DL),":[107],"Financial":[108],"Fraud":[109],"Machine":[111],"(ML),":[113],"Predictive":[114],"Analytics,":[115],"Supervised":[116],"Learning,":[117],"Unsupervised":[118],"Learning.":[119]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2025-10-10T00:00:00"}