{"id":"https://openalex.org/W4408103641","doi":"https://doi.org/10.1016/j.hcc.2025.100313","title":"Block-chain abnormal transaction detection method based on generative adversarial network and autoencoder","display_name":"Block-chain abnormal transaction detection method based on generative adversarial network and autoencoder","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408103641","doi":"https://doi.org/10.1016/j.hcc.2025.100313"},"language":"en","primary_location":{"id":"doi:10.1016/j.hcc.2025.100313","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.hcc.2025.100313","pdf_url":null,"source":{"id":"https://openalex.org/S4210186527","display_name":"High-Confidence Computing","issn_l":"2667-2952","issn":["2667-2952"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"High-Confidence Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.hcc.2025.100313","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101963481","display_name":"Ao Xiong","orcid":"https://orcid.org/0000-0002-1391-1298"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Xiong","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080104237","display_name":"Chenbin Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenbin Qiao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442689","display_name":"Wenjing Li","orcid":"https://orcid.org/0000-0003-3852-1007"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Li","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080470435","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-0577-7305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["State Grid Digital Technology Holding Co., Ltd., Beijing, 100053, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Digital Technology Holding Co., Ltd., Beijing, 100053, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384534","display_name":"Da Li","orcid":"https://orcid.org/0000-0002-1127-0642"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["State Grid Digital Technology Holding Co., Ltd., Beijing, 100053, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Digital Technology Holding Co., Ltd., Beijing, 100053, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046026365","display_name":"Bo Gao","orcid":"https://orcid.org/0000-0002-9012-2663"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Gao","raw_affiliation_strings":["State Grid Jiangsu Electric Power CO.. LTD., Nanjing, 210018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power CO.. LTD., Nanjing, 210018, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090076448","display_name":"Weixian Wang","orcid":"https://orcid.org/0009-0005-7863-0154"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixian Wang","raw_affiliation_strings":["State Grid Beijing Electric Power Company, Beijing, 100031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Beijing Electric Power Company, Beijing, 100031, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080104237"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":4.1552,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93009609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"5","issue":"4","first_page":"100313","last_page":"100313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9976999759674072,"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":0.9937999844551086,"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/autoencoder","display_name":"Autoencoder","score":0.9101043939590454},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6149144172668457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913264155387878},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.573926568031311},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5624349117279053},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.519790768623352},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5037371516227722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46057558059692383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41555255651474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23009717464447021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21204298734664917},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14058884978294373}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9101043939590454},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6149144172668457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913264155387878},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.573926568031311},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5624349117279053},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.519790768623352},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5037371516227722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46057558059692383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41555255651474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23009717464447021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21204298734664917},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14058884978294373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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":2,"locations":[{"id":"doi:10.1016/j.hcc.2025.100313","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.hcc.2025.100313","pdf_url":null,"source":{"id":"https://openalex.org/S4210186527","display_name":"High-Confidence Computing","issn_l":"2667-2952","issn":["2667-2952"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"High-Confidence Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:481dd26da7d647689bd7cf2386a2e1b1","is_oa":true,"landing_page_url":"https://doaj.org/article/481dd26da7d647689bd7cf2386a2e1b1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"High-Confidence Computing, Vol 5, Iss 4, Pp 100313- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.hcc.2025.100313","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.hcc.2025.100313","pdf_url":null,"source":{"id":"https://openalex.org/S4210186527","display_name":"High-Confidence Computing","issn_l":"2667-2952","issn":["2667-2952"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"High-Confidence Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7374578693","display_name":null,"funder_award_id":"2022YFB2703400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2008056655","https://openalex.org/W2064675550","https://openalex.org/W2393319904","https://openalex.org/W2561849210","https://openalex.org/W2765811365","https://openalex.org/W2772316869","https://openalex.org/W3001272657","https://openalex.org/W3168997536","https://openalex.org/W3171954485","https://openalex.org/W3201909053","https://openalex.org/W4248175462","https://openalex.org/W4288276219","https://openalex.org/W4310050354","https://openalex.org/W4376544986","https://openalex.org/W6731258994","https://openalex.org/W6732659443","https://openalex.org/W6739733045","https://openalex.org/W6788544718"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2502115930","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,78,103,146,179],"in":[2,65],"blockchain":[3,33,189],"transactions":[4],"faces":[5],"several":[6],"challenges,":[7],"the":[8,12,45,56,106,113,136,141,145,154,164,176,192],"most":[9],"prominent":[10],"being":[11],"imbalance":[13],"between":[14],"positive":[15,194],"and":[16,40,59,86,101,132,160,169,196,200],"negative":[17],"samples.":[18],"Most":[19],"transaction":[20,34],"data":[21,95,114,119,158,161],"are":[22],"normal,":[23],"with":[24],"only":[25],"a":[26,94,102],"small":[27,39],"fraction":[28],"of":[29,47,91,156],"anomalous":[30,188],"data.":[31],"Additionally,":[32],"datasets":[35],"tend":[36],"to":[37,123,152],"be":[38],"often":[41],"incomplete,":[42],"which":[43],"complicates":[44],"process":[46],"anomaly":[48,77,178],"detection.":[49],"When":[50],"using":[51],"simple":[52],"AI":[53],"models,":[54],"selecting":[55],"appropriate":[57],"model":[58,79,89,127,180],"tuning":[60],"parameters":[61],"becomes":[62],"difficult,":[63],"resulting":[64],"poor":[66],"performance.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"this":[72],"paper":[73],"proposes":[74],"GANAnomaly,":[75],"an":[76,98,125],"based":[80],"on":[81],"Generative":[82],"Adversarial":[83],"Networks":[84],"(GANs)":[85],"Autoencoders.":[87],"The":[88,117],"consists":[90],"three":[92],"components:":[93],"generation":[96,115],"model,":[97,100],"encoding":[99,126],"model.":[104,116,147],"Firstly,":[105],"Wasserstein":[107],"GAN":[108],"(WGAN)":[109],"is":[110,120],"employed":[111],"as":[112,140],"generated":[118],"then":[121],"used":[122],"train":[124],"that":[128,175],"performs":[129],"feature":[130,142],"extraction":[131],"dimensionality":[133],"reduction.":[134],"Finally,":[135],"trained":[137],"encoder":[138,165],"serves":[139],"extractor":[143],"for":[144],"This":[148],"approach":[149],"leverages":[150],"GANs":[151],"mitigate":[153],"challenges":[155],"low":[157],"volume":[159],"imbalance,":[162],"while":[163],"extracts":[166],"relevant":[167],"features":[168],"reduces":[170],"dimensionality.":[171],"Experimental":[172],"results":[173],"demonstrate":[174],"proposed":[177],"outperforms":[181],"traditional":[182],"methods":[183],"by":[184],"more":[185],"accurately":[186],"identifying":[187],"transactions,":[190],"reducing":[191],"false":[193],"rate,":[195],"improving":[197],"both":[198],"accuracy":[199],"efficiency.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}