{"id":"https://openalex.org/W4402159238","doi":"https://doi.org/10.1109/icc51166.2024.10622975","title":"Explore Patterns to Detect Sybil Attack during Federated Learning in Mobile Digital Twin Network","display_name":"Explore Patterns to Detect Sybil Attack during Federated Learning in Mobile Digital Twin Network","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402159238","doi":"https://doi.org/10.1109/icc51166.2024.10622975"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-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/A5039208279","display_name":"Wenmiao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenmiao Zhang","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001459619","display_name":"Chong Yu","orcid":"https://orcid.org/0000-0002-6244-3486"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chong Yu","raw_affiliation_strings":["University of Cincinnati,Department of Computer Science,Cincinnati,OH,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati,Department of Computer Science,Cincinnati,OH,USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111312985","display_name":"Zhenyu Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu Meng","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017959427","display_name":"Shuaiqi Shen","orcid":"https://orcid.org/0000-0003-4706-5330"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuaiqi Shen","raw_affiliation_strings":["University of Wisconsin-Milwaukee,Department of Electrical Engineering,Milwaukee,WI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Milwaukee,Department of Electrical Engineering,Milwaukee,WI,USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100736887","display_name":"Kuan Zhang","orcid":"https://orcid.org/0000-0002-4262-153X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuan Zhang","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64190499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3969","last_page":"3974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9986000061035156,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9986000061035156,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9973000288009644,"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":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.8039287328720093},{"id":"https://openalex.org/keywords/sybil-attack","display_name":"Sybil attack","score":0.6642906665802002},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5035580992698669},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3487023115158081},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.18419113755226135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039287328720093},{"id":"https://openalex.org/C2777505653","wikidata":"https://www.wikidata.org/wiki/Q4470796","display_name":"Sybil attack","level":3,"score":0.6642906665802002},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5035580992698669},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3487023115158081},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.18419113755226135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2131681506","https://openalex.org/W2752689052","https://openalex.org/W3013696689","https://openalex.org/W3099768174","https://openalex.org/W3138153888","https://openalex.org/W3138597937","https://openalex.org/W3201824817","https://openalex.org/W4226047321","https://openalex.org/W4229455429","https://openalex.org/W4280543013","https://openalex.org/W4281639882","https://openalex.org/W4285196740","https://openalex.org/W4288057793","https://openalex.org/W4290948380","https://openalex.org/W4301242115","https://openalex.org/W4306830536","https://openalex.org/W4312318759","https://openalex.org/W4386275666","https://openalex.org/W4386280834","https://openalex.org/W4387303325","https://openalex.org/W4387869680","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6769755587","https://openalex.org/W6770634426","https://openalex.org/W6780438843"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2340192855","https://openalex.org/W2741062270","https://openalex.org/W2326507185","https://openalex.org/W2165491783","https://openalex.org/W2783409857","https://openalex.org/W2318209665","https://openalex.org/W3132838512","https://openalex.org/W2025212824"],"abstract_inverted_index":{"Digital":[0],"twins":[1,189],"represent":[2],"users":[3,11],"in":[4,37,56,166,199,218],"the":[5,18,38,91,115,129,147,203,209,235,248],"cyber":[6],"world":[7],"and":[8,12,24,67,86,183,250],"interact":[9],"between":[10],"network":[13,40],"controllers":[14],"to":[15,22,51,113,124,140,179,194,202,234,245],"better":[16],"manage":[17],"mobile":[19,39],"network.":[20],"Due":[21],"communications":[23,81],"other":[25],"resource":[26],"constraints,":[27],"transmitting":[28],"raw":[29,92],"data":[30,84,93],"for":[31],"a":[32,53,57,61,68,155,191,226,240],"traditional,":[33],"centralized":[34],"machine":[35],"learning":[36,48,78],"has":[41],"been":[42],"replaced":[43],"by":[44,89,136,159],"federated":[45,77,119,167],"learning.":[46,120,168],"Federated":[47],"allows":[49],"participants":[50,165],"train":[52],"complex":[54],"model":[55,72,111],"distributed":[58],"manner,":[59],"through":[60],"group":[62,143],"of":[63,118],"participants'":[64],"local":[65],"training":[66],"global":[69],"aggregation":[70],"with":[71,261],"updates":[73],"as":[74,190],"feedback.":[75],"Although":[76],"can":[79,131],"save":[80],"costs,":[82],"address":[83],"heterogeneity":[85],"protect":[87],"privacy":[88],"stopping":[90],"transmission,":[94],"it":[95],"faces":[96],"various":[97],"se-curity":[98],"challenges.":[99],"For":[100],"example,":[101],"poisoning":[102,126],"attacks":[103],"may":[104],"inject":[105],"false":[106],"models":[107],"or":[108],"modify":[109],"existing":[110,148,262],"parameters":[112],"bias":[114],"gradient":[116],"descent":[117],"Some":[121],"literature":[122],"attempted":[123],"detect":[125],"attacks,":[127],"but":[128],"attackers":[130,174],"still":[132],"strengthen":[133],"their":[134,142,180],"power":[135],"creating":[137,160],"many":[138],"identities":[139,197,232],"build":[141,225],"advantage,":[144],"which":[145,198,214],"overturns":[146],"detection.":[149],"In":[150],"this":[151,222],"paper,":[152],"we":[153,170,186,224],"propose":[154,239],"digital-twin-based":[156],"Sybil":[157,173,196,252],"detection":[158,163,243],"new":[161],"community":[162,242],"among":[164],"Specifically,":[169],"first":[171],"identify":[172],"on":[175],"several":[176],"levels":[177],"according":[178],"attacking":[181],"strength":[182],"strategies.":[184],"Then,":[185],"integrate":[187],"digital":[188,219],"side":[192],"channel":[193],"distinguish":[195,251],"fact":[200],"belong":[201],"same":[204,236],"attacker.":[205,237],"This":[206],"could":[207],"leak":[208],"attacker's":[210],"correlated":[211],"behavior":[212],"patterns":[213],"are":[215],"automatically":[216],"recorded":[217],"twins.":[220],"Under":[221],"observation,":[223],"DT-graph":[227,249],"that":[228],"tightly":[229],"connects":[230],"Sybil-controlled":[231],"belonging":[233],"We":[238],"graph-based":[241],"algorithm":[244],"further":[246],"partition":[247],"attacks.":[253],"Extensive":[254],"simulations":[255],"validate":[256],"our":[257],"proposed":[258],"method":[259],"compared":[260],"work.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}