{"id":"https://openalex.org/W4399039675","doi":"https://doi.org/10.1109/tce.2024.3406194","title":"Uncovering Malicious Accounts in Online Social Networks Using XGBoost and Graph Convolution Networks","display_name":"Uncovering Malicious Accounts in Online Social Networks Using XGBoost and Graph Convolution Networks","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399039675","doi":"https://doi.org/10.1109/tce.2024.3406194"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3406194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3406194","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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":"https://openalex.org/A5010492811","display_name":"Yuting Tang","orcid":"https://orcid.org/0000-0001-8443-7098"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Tang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","College of Computer Science and Electronic Engineering, Hunan University, China"],"raw_orcid":"https://orcid.org/0000-0001-8443-7098","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594819","display_name":"Dafang Zhang","orcid":"https://orcid.org/0000-0001-5187-8129"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafang Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","College of Computer Science and Electronic Engineering, Hunan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Ching Li","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan","Department of Computer Science and Information Engr. (CSIE), Providence University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1381-4364","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"Department of Computer Science and Information Engr. (CSIE), Providence University, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7324-7034"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["Computer Science and Engineering Department, University at Buffalo, Buffalo, NY, USA","Computer Science and Engineering Department, University at Buffalo, USA"],"raw_orcid":"https://orcid.org/0000-0002-7324-7034","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.561,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83412061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"71","issue":"2","first_page":"6489","last_page":"6498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9944999814033508,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6741659045219421},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6075338125228882},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.517753541469574},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.435963898897171},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.42914268374443054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2886433005332947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2528172433376312},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13587459921836853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11016339063644409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741659045219421},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6075338125228882},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.517753541469574},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.435963898897171},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.42914268374443054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2886433005332947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2528172433376312},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13587459921836853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11016339063644409}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3406194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3406194","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1862522826","display_name":"\u6cdb\u5728\u4f53\u57df\u7f51\u4e2d\u654f\u611f\u6570\u636e\u7684\u5b89\u5168\u4e0e\u9690\u79c1\u4fdd\u62a4\u7814\u7a76","funder_award_id":"61872138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6226816379","display_name":"\u9ad8\u9891\u6b21\u533a\u5757\u94fe\u6570\u636e\u8bbf\u95ee\u63a7\u5236\u4e0e\u81ea\u4e3b\u5b58\u8bc1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1986678144","https://openalex.org/W2125490153","https://openalex.org/W2152760593","https://openalex.org/W2157317320","https://openalex.org/W2586047314","https://openalex.org/W2754370068","https://openalex.org/W2785725014","https://openalex.org/W2902479064","https://openalex.org/W2948410086","https://openalex.org/W2979437960","https://openalex.org/W2998607255","https://openalex.org/W3003943463","https://openalex.org/W3005367885","https://openalex.org/W3022522270","https://openalex.org/W3133533225","https://openalex.org/W3136431323","https://openalex.org/W3159922844","https://openalex.org/W3169347762","https://openalex.org/W3177239394","https://openalex.org/W3208885160","https://openalex.org/W4289236186","https://openalex.org/W4292230185","https://openalex.org/W4294690883","https://openalex.org/W4313597392","https://openalex.org/W4362563552","https://openalex.org/W4379527425","https://openalex.org/W4382865033","https://openalex.org/W4384787880","https://openalex.org/W4385486439","https://openalex.org/W4386090352","https://openalex.org/W4386243226","https://openalex.org/W4387146071","https://openalex.org/W4387303325","https://openalex.org/W4388756760","https://openalex.org/W4389298228","https://openalex.org/W4390659346","https://openalex.org/W4391311259","https://openalex.org/W4391661457","https://openalex.org/W4394595165"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4385627933","https://openalex.org/W2532801570","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,63,79,107],"introduce":[4],"a":[5],"Machine-Learning":[6],"(ML)":[7],"approach":[8,41,85,129],"based":[9,91,116],"on":[10,37,92,117],"XGBoost":[11,66],"and":[12,49,99,105,135,146],"Graph":[13,82],"Convolutional":[14,83],"Networks":[15,27,84],"(GCNs)":[16],"for":[17,58],"the":[18,65,73,81,93,100,109,126],"detection":[19,33,140],"of":[20,75,103],"active":[21],"malicious":[22,97],"accounts":[23,98],"in":[24],"Online":[25],"Social":[26],"(OSN).":[28],"Distinguishing":[29],"itself":[30],"from":[31],"previous":[32],"algorithms":[34,141],"by":[35],"relying":[36],"user":[38,47,56,89,114],"relationships,":[39],"our":[40],"combines":[42],"heterogeneous":[43],"information,":[44],"including":[45],"descriptive":[46,101],"features":[48,102],"inter-user":[50],"relationship":[51],"data,":[52],"to":[53,68,86,112],"obtain":[54],"advanced":[55,88],"representations":[57,90],"determining":[59],"their":[60,118],"legitimacy.":[61],"Specifically,":[62],"employ":[64,108],"algorithm":[67],"extract":[69],"crucial":[70],"features,":[71],"mitigating":[72],"impact":[74],"redundant":[76],"ones.":[77],"Next,":[78],"utilize":[80],"derive":[87],"actual":[94],"relationships":[95],"between":[96],"users,":[104],"lastly,":[106],"sigmoid":[110],"function":[111],"assess":[113],"legitimacy":[115],"high-level":[119],"feature":[120,132],"matrices.":[121],"Experimental":[122],"results":[123],"depict":[124],"that":[125],"proposed":[127],"XGBoost-based":[128],"outperforms":[130],"other":[131,138],"selection":[133],"methods,":[134],"comparison":[136],"with":[137],"account":[139],"shows":[142],"superior":[143],"efficiency,":[144],"accuracy,":[145],"flexibility.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}