{"id":"https://openalex.org/W4226042189","doi":"https://doi.org/10.1109/globecom46510.2021.9685154","title":"Augmented Dual-Shuffle-based Moving Target Defense to Ensure CIA-triad in Federated Learning","display_name":"Augmented Dual-Shuffle-based Moving Target Defense to Ensure CIA-triad in Federated Learning","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4226042189","doi":"https://doi.org/10.1109/globecom46510.2021.9685154"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5056148718","display_name":"Zan Zhou","orcid":"https://orcid.org/0000-0003-2388-2280"},"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"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zan Zhou","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069646989","display_name":"Changqiao Xu","orcid":"https://orcid.org/0000-0003-1467-1086"},"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"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqiao Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029936222","display_name":"Mingze Wang","orcid":"https://orcid.org/0009-0009-2047-5111"},"institutions":[{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"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":"Mingze Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012550933","display_name":"Tengchao Ma","orcid":"https://orcid.org/0000-0003-3633-4881"},"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"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengchao Ma","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005228053","display_name":"Shui Yu","orcid":"https://orcid.org/0000-0003-4485-6743"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney,81 Broadway,Ultimo, NSW 2007,Australia","School of Computer Science, University of Technology Sydney, 81 Broadway, Ultimo, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney,81 Broadway,Ultimo, NSW 2007,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, 81 Broadway, Ultimo, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056148718"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"],"apc_list":null,"apc_paid":null,"fwci":1.2566,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83987661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.998199999332428,"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/T10237","display_name":"Cryptography and Data Security","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shuffling","display_name":"Shuffling","score":0.8565865755081177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7951877117156982},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.680438756942749},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.5807740092277527},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.53725266456604},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.5302647352218628},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5258539319038391},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.32099252939224243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2805261015892029},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.14007148146629333}],"concepts":[{"id":"https://openalex.org/C167927819","wikidata":"https://www.wikidata.org/wiki/Q1930567","display_name":"Shuffling","level":2,"score":0.8565865755081177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7951877117156982},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.680438756942749},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.5807740092277527},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.53725266456604},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.5302647352218628},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5258539319038391},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.32099252939224243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2805261015892029},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.14007148146629333},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4817671497","display_name":null,"funder_award_id":"61871048,61872253","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2127979711","https://openalex.org/W2734358244","https://openalex.org/W2898146121","https://openalex.org/W2903356604","https://openalex.org/W2912213068","https://openalex.org/W2942770187","https://openalex.org/W2963540401","https://openalex.org/W2965721472","https://openalex.org/W2970408908","https://openalex.org/W2981349114","https://openalex.org/W2983640973","https://openalex.org/W2995022099","https://openalex.org/W2995164118","https://openalex.org/W3043610783","https://openalex.org/W3044482596","https://openalex.org/W3087391814","https://openalex.org/W3118608800","https://openalex.org/W3128083813","https://openalex.org/W3128515475","https://openalex.org/W4294106961","https://openalex.org/W6756840679","https://openalex.org/W6768836789","https://openalex.org/W6771533808","https://openalex.org/W6781605033"],"related_works":["https://openalex.org/W2801622120","https://openalex.org/W2164141394","https://openalex.org/W4240977217","https://openalex.org/W3036524962","https://openalex.org/W2508088450","https://openalex.org/W2389434635","https://openalex.org/W4214750239","https://openalex.org/W2279908259","https://openalex.org/W2515148583","https://openalex.org/W4293790771"],"abstract_inverted_index":{"In":[0,112],"today's":[1],"“Internet":[2],"of":[3,18,59,159,171,177,184],"Everything":[4],"(IoE)”":[5],"era,":[6],"the":[7,14,34,63,70,127,151,156,168],"collaboration":[8],"from":[9,110],"massive":[10],"participants":[11],"significantly":[12],"boosts":[13],"performance":[15,200],"and":[16,77,93,103,132,198],"efficiency":[17],"model":[19,74,117,147],"training.":[20],"This":[21,95],"trend":[22],"also":[23,61],"un-avoidably":[24],"stirs":[25],"up":[26],"considerable":[27],"concerns":[28],"about":[29],"multi-dimensional":[30],"security":[31,130,197],"problems.":[32],"Under":[33],"circumstances,":[35],"federated":[36],"learning":[37],"(FL)":[38],"is":[39],"enthusiastically":[40],"adopted,":[41],"as":[42],"it":[43],"protects":[44],"privacy":[45],"to":[46,138],"a":[47,134,182],"certain":[48],"extent":[49],"by":[50],"only":[51],"processing":[52],"personal":[53],"data":[54],"locally.":[55],"Nevertheless,":[56],"FL's":[57],"characteristics":[58],"concealment":[60],"pave":[62],"way":[64],"for":[65],"sev-eral":[66],"emerging":[67],"attacks":[68],"during":[69],"training":[71],"process,":[72],"i.e.,":[73],"inversion,":[75],"poisoning,":[76],"backdoor.":[78],"Currently,":[79],"although":[80],"partially":[81],"mitigating":[82],"attack":[83,119],"effects,":[84],"existing":[85],"countermeasures":[86],"against":[87,201],"those":[88,98],"threats":[89,141],"are":[90],"studied":[91],"separately":[92],"orthogonal.":[94],"separation":[96],"makes":[97],"defense":[99],"methods":[100],"mutually":[101],"exclusive":[102],"restrictive":[104],"in":[105],"real-world":[106],"application":[107],"scenarios,":[108],"far":[109],"satisfying.":[111],"this":[113],"paper,":[114],"we":[115,189],"extensively":[116],"different":[118],"paradigms":[120],"into":[121],"three":[122,202],"types":[123],"based":[124,154],"on":[125,155,186],"CIA-triad,":[126],"well-known":[128],"information":[129],"primitive,":[131],"propose":[133],"novel":[135],"dual-shuffle":[136],"method":[137,193],"thwart":[139],"aforementioned":[140],"jointly.":[142],"Concretely":[143],"speaking,":[144],"our":[145,192],"primary":[146],"shuffling":[148,165],"mechanism":[149,166],"provides":[150],"confidentiality":[152],"guarantee":[153],"information-theoretic":[157],"notion":[158],"identifiability;":[160],"then,":[161],"an":[162],"augmented":[163],"client":[164],"purges":[167],"user":[169],"group":[170],"adversaries":[172],"proactively":[173],"without":[174],"any":[175],"compromise":[176],"anonymous":[178],"constraints.":[179],"By":[180],"conducting":[181],"series":[183],"experiments":[185],"bench-mark":[187],"datasets,":[188],"demonstrate":[190],"that":[191],"could":[194],"achieve":[195],"significant":[196],"convergence":[199],"state-of-the-art":[203],"attacks.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}