{"id":"https://openalex.org/W7203892973","doi":"https://doi.org/10.1142/s1793962326500546","title":"Blockchain-enabled secure financial management model with IoT-based real-time asset monitoring","display_name":"Blockchain-enabled secure financial management model with IoT-based real-time asset monitoring","publication_year":2026,"publication_date":"2026-08-21","ids":{"openalex":"https://openalex.org/W7203892973","doi":"https://doi.org/10.1142/s1793962326500546"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962326500546","doi":"https://doi.org/10.1142/s1793962326500546","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962326500546","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-20","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5123471351","display_name":"Lina Sha","orcid":"https://orcid.org/0009-0001-9223-6760","observed_orcids":["https://orcid.org/0009-0001-9223-6760"]},"institutions":[{"id":"https://openalex.org/I4405279793","display_name":"Yinchuan College of Energy","ror":"https://ror.org/020kz5a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405279793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lina Sha","raw_affiliation_strings":["Business School, Yinchuan College of Energy, Yinchuan 750001, Ningxia Hui Autonomous Region, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-9223-6760","affiliations":[{"raw_affiliation_string":"Business School, Yinchuan College of Energy, Yinchuan 750001, Ningxia Hui Autonomous Region, P. R. China","institution_ids":["https://openalex.org/I4405279793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5123471351"],"corresponding_institution_ids":["https://openalex.org/I4405279793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"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":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9916999936103821,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9916999936103821,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.0035000001080334187,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/blockchain","display_name":"blockchain","score":0.6039999723434448},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.8709999918937683},{"id":"https://openalex.org/keywords/enterprise-financial-management","display_name":"enterprise financial management","score":0.6800000071525574},{"id":"https://openalex.org/keywords/financial-anomaly-detection","display_name":"financial anomaly detection","score":0.9150000214576721},{"id":"https://openalex.org/keywords/asset-monitoring","display_name":"asset monitoring","score":0.703000009059906},{"id":"https://openalex.org/keywords/lstm-autoencoder","display_name":"LSTM autoencoder","score":0.8930000066757202},{"id":"https://openalex.org/keywords/isolation-forest","display_name":"Isolation Forest","score":0.972000002861023},{"id":"https://openalex.org/keywords/hyperledger-fabric","display_name":"Hyperledger Fabric","score":0.9850000143051147},{"id":"https://openalex.org/keywords/aes-256","display_name":"AES-256","score":0.8040000200271606},{"id":"https://openalex.org/keywords/sha-256","display_name":"SHA-256","score":0.9129999876022339},{"id":"https://openalex.org/keywords/hybrid-anomaly-detection","display_name":"hybrid anomaly detection","score":0.621999979019165},{"id":"https://openalex.org/keywords/real-time-financial-monitoring","display_name":"real-time financial monitoring","score":0.5070000290870667},{"id":"https://openalex.org/keywords/financial-risk-detection","display_name":"financial risk detection","score":0.6069999933242798}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7512000203132629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128000259399414},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5644000172615051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49779999256134033},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C2776517139","wikidata":"https://www.wikidata.org/wiki/Q873442","display_name":"Asset management","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C200749887","wikidata":"https://www.wikidata.org/wiki/Q1165574","display_name":"System monitoring","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C139819358","wikidata":"https://www.wikidata.org/wiki/Q462748","display_name":"Asset allocation","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962326500546","doi":"https://doi.org/10.1142/s1793962326500546","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962326500546","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-20","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.651199996471405,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4410356225","https://openalex.org/W7161132050","https://openalex.org/W7163907411","https://openalex.org/W7131086015","https://openalex.org/W4415337678","https://openalex.org/W4392921155","https://openalex.org/W4411640622","https://openalex.org/W4412698437","https://openalex.org/W4408983014","https://openalex.org/W7129756280"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,49,82,234],"the":[3,37,56,141,149,216,221,235],"Internet":[4],"of":[5,39,55,88,118,129,140,200,206,223,230],"Things":[6],"(IoT),":[7],"Artificial":[8],"Intelligence":[9],"(AI),":[10],"and":[11,23,45,61,73,103,122,132,164,166,191,204,228],"blockchain":[12],"have":[13],"enhanced":[14],"enterprise":[15,75,119],"financial":[16,41,66,100,120,231],"monitoring":[17,81],"through":[18,77],"real-time":[19],"analytics,":[20],"predictive":[21],"decision-making,":[22],"secure":[24,46,69,104,169],"data":[25,71],"management.":[26],"Previous":[27],"research":[28],"mainly":[29],"relies":[30],"on":[31],"single":[32],"anomaly":[33,67,154,224],"detection":[34,102],"models,":[35],"limiting":[36],"capture":[38],"temporal":[40,130,153],"behavior,":[42],"statistical":[43,159],"irregularities,":[44],"risk":[47,101],"verification":[48],"complex":[50],"industrial":[51],"environments.":[52,85],"The":[53,86,108,172,194,212],"integration":[54],"LSTM":[57,150],"Autoencoder,":[58],"Isolation":[59,156],"Forest,":[60],"Hyperledger":[62,162],"Fabric":[63],"enables":[64],"accurate":[65,99],"detection,":[68,155,161,225],"blockchain-based":[70,105],"management,":[72],"reliable":[74],"decision-making":[76],"continuous":[78],"IoT-based":[79],"asset":[80],"dynamic":[83],"operational":[84,124],"objective":[87],"this":[89],"study":[90],"is":[91],"to":[92],"develop":[93],"an":[94],"intelligent":[95,236],"financial\u2013IoT":[96,113],"framework":[97],"for":[98,152,158,168],"decision":[106],"support.":[107],"proposed":[109,217],"methodology":[110],"uses":[111],"a":[112,197],"dataset":[114],"comprising":[115],"100,000":[116],"records":[117],"indicators":[121],"IoT":[123],"metrics.":[125],"Data":[126],"preprocessing":[127],"consists":[128],"splitting":[131],"Principal":[133],"Component":[134],"Analysis":[135],"(PCA),":[136],"which":[137],"keeps":[138],"95%":[139],"variance":[142],"with":[143,179],"nine":[144],"principal":[145],"components.":[146],"It":[147],"combines":[148],"Autoencoder":[151],"Forest":[157],"outlier":[160],"Fabric,":[163],"AES-256":[165],"SHA-256":[167],"decentralized":[170],"validation.":[171],"experimental":[173],"results":[174,213],"show":[175,214],"that":[176,215],"it":[177],"outperforms":[178],"97%":[180,185,187],"classification":[181],"accuracy,":[182],"98%":[183],"precision,":[184],"recall,":[186],"[Formula:":[188],"see":[189],"text]1-score,":[190],"99%":[192],"ROC-AUC.":[193],"system":[195],"ensures":[196],"prediction":[198],"latency":[199],"less":[201],"than":[202],"50ms":[203],"throughput":[205],"over":[207],"1800":[208],"transactions":[209],"per":[210],"second.":[211],"hybrid":[218],"approach":[219],"enhances":[220],"accuracy":[222],"scalability,":[226],"transparency,":[227],"security":[229],"management":[232],"applications":[233],"enterprise.":[237]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2026-08-22T00:00:00"}