{"id":"https://openalex.org/W4367624656","doi":"https://doi.org/10.3390/data8050083","title":"Cloud-Based Smart Contract Analysis in FinTech Using IoT-Integrated Federated Learning in Intrusion Detection","display_name":"Cloud-Based Smart Contract Analysis in FinTech Using IoT-Integrated Federated Learning in Intrusion Detection","publication_year":2023,"publication_date":"2023-04-29","ids":{"openalex":"https://openalex.org/W4367624656","doi":"https://doi.org/10.3390/data8050083"},"language":"en","primary_location":{"id":"doi:10.3390/data8050083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8050083","pdf_url":"https://www.mdpi.com/2306-5729/8/5/83/pdf?version=1682764988","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/8/5/83/pdf?version=1682764988","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086904726","display_name":"Venkatagurunatham Naidu Kollu","orcid":"https://orcid.org/0000-0001-5120-3009"},"institutions":[{"id":"https://openalex.org/I19926482","display_name":"Dr. M.G.R. Educational and Research Institute","ror":"https://ror.org/053hsst90","country_code":"IN","type":"education","lineage":["https://openalex.org/I19926482"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatagurunatham Naidu Kollu","raw_affiliation_strings":["Department of Computer Science and Engineering, Dr.M.G.R. Educational and Research Institute, Chennai 600095, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Dr.M.G.R. Educational and Research Institute, Chennai 600095, India","institution_ids":["https://openalex.org/I19926482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035295931","display_name":"Vijayaraj Janarthanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijayaraj Janarthanan","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, Easwari Engineering College, Ramapuram, Chennai 600089, India"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, Easwari Engineering College, Ramapuram, Chennai 600089, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064613320","display_name":"Muthulakshmi Karupusamy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muthulakshmi Karupusamy","raw_affiliation_strings":["Department of Information Technology, PanimalarEngineering College, Poonamallee, Chennai 600123, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, PanimalarEngineering College, Poonamallee, Chennai 600123, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027454208","display_name":"R. Manikandan","orcid":"https://orcid.org/0000-0001-6116-2132"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manikandan Ramachandran","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur 613401, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur 613401, India","institution_ids":["https://openalex.org/I932239252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027454208"],"corresponding_institution_ids":["https://openalex.org/I932239252"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":8.6418,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9766113,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"5","first_page":"83","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9958999752998352,"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":0.9958999752998352,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.991100013256073,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185205221176147},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6463592648506165},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6178191304206848},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5749066472053528},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4495667815208435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43579694628715515},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4011048674583435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33463406562805176},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2985422909259796},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11903449892997742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185205221176147},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6463592648506165},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6178191304206848},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5749066472053528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4495667815208435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43579694628715515},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4011048674583435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33463406562805176},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2985422909259796},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11903449892997742}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/data8050083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8050083","pdf_url":"https://www.mdpi.com/2306-5729/8/5/83/pdf?version=1682764988","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jdataj:v:8:y:2023:i:5:p:83-:d:1136822","is_oa":false,"landing_page_url":"https://www.mdpi.com/2306-5729/8/5/83/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:3845ed62b5d34b00b1ce938e314ec9dd","is_oa":true,"landing_page_url":"https://doaj.org/article/3845ed62b5d34b00b1ce938e314ec9dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 8, Iss 5, p 83 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2306-5729/8/5/83/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/data8050083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data; Volume 8; Issue 5; Pages: 83","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/data8050083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8050083","pdf_url":"https://www.mdpi.com/2306-5729/8/5/83/pdf?version=1682764988","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4367624656.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2920759707","https://openalex.org/W3111919937","https://openalex.org/W3170695344","https://openalex.org/W3210857299","https://openalex.org/W4200486839","https://openalex.org/W4205307972","https://openalex.org/W4213298953","https://openalex.org/W4220810976","https://openalex.org/W4225876608","https://openalex.org/W4226164615","https://openalex.org/W4282981070","https://openalex.org/W4293565131","https://openalex.org/W4297539704","https://openalex.org/W4311628232","https://openalex.org/W4311763854","https://openalex.org/W4312303616","https://openalex.org/W4312313880","https://openalex.org/W4312973732","https://openalex.org/W4315864917","https://openalex.org/W4322576471"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W2364419519","https://openalex.org/W2017948608","https://openalex.org/W2360767377","https://openalex.org/W3151146928","https://openalex.org/W2360951146"],"abstract_inverted_index":{"Data":[0],"sharing":[1],"is":[2,57,81,85],"proposed":[3,212],"because":[4],"the":[5,17,64,96,168,203],"issue":[6],"of":[7,12,41,45,54,66,72,78,91,171,191,216,219,222,225,228,231,235,238,242],"data":[8,22],"islands":[9],"hinders":[10],"advancement":[11],"artificial":[13],"intelligence":[14],"technology":[15,98],"in":[16,95,142,167,176,186],"5G":[18],"era.":[19],"Sharing":[20],"high-quality":[21],"has":[23,50,62],"a":[24,52,70,89,105,125,132,150,153,174,189],"direct":[25],"impact":[26],"on":[27,111,152],"how":[28],"well":[29,117],"machine-learning":[30],"models":[31],"work,":[32],"but":[33],"there":[34],"will":[35],"always":[36],"be":[37],"misuse":[38],"and":[39,56,138,209,240],"leakage":[40],"data.":[42,144],"The":[43,180,211],"field":[44,61],"financial":[46,97],"technology,":[47],"or":[48,178],"FinTech,":[49],"received":[51],"lot":[53],"attention":[55],"growing":[58],"quickly.":[59],"This":[60,83,100,122],"seen":[63],"introduction":[65],"new":[67],"terms":[68],"as":[69,116,118,156],"result":[71],"its":[73],"ongoing":[74],"expansion.":[75],"One":[76],"example":[77],"such":[79],"terminology":[80],"\u201cFinTech\u201d.":[82],"term":[84],"used":[86],"to":[87,103,148],"describe":[88],"variety":[90,190],"procedures":[92],"utilized":[93],"frequently":[94],"industry.":[99],"study":[101,123],"aims":[102],"create":[104,149],"cloud-based":[106,139],"intrusion":[107],"detection":[108],"system":[109,137],"based":[110],"IoT":[112],"federated":[113,134],"learning":[114],"architecture":[115],"smart":[119,140],"contract":[120],"analysis.":[121],"proposes":[124],"novel":[126],"method":[127],"for":[128,195],"detecting":[129],"intrusions":[130],"using":[131,188],"cyber-threat":[133],"graphical":[135],"authentication":[136],"contracts":[141],"FinTech":[143,192],"Users":[145],"are":[146],"required":[147],"route":[151],"world":[154],"map":[155],"their":[157],"credentials":[158],"under":[159,202],"this":[160],"scheme.":[161],"We":[162],"had":[163,173],"120":[164],"people":[165],"participate":[166],"evaluation,":[169],"60":[170],"whom":[172],"background":[175],"finance":[177],"FinTech.":[179],"simulation":[181],"was":[182],"then":[183],"carried":[184],"out":[185],"Python":[187],"cyber-attack":[193],"datasets":[194],"accuracy,":[196],"precision,":[197],"recall,":[198],"F-measure,":[199],"AUC":[200,230],"(Area":[201],"ROC":[204],"Curve),":[205],"trust":[206,233],"value,":[207],"scalability,":[208],"integrity.":[210],"technique":[213],"attained":[214],"accuracy":[215],"95%,":[217],"precision":[218],"85%,":[220],"RMSE":[221],"59%,":[223],"recall":[224],"68%,":[226],"F-measure":[227],"83%,":[229],"79%,":[232],"value":[234],"65%,":[236],"scalability":[237],"91%,":[239],"integrity":[241],"83%.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2023-05-02T00:00:00"}
