{"id":"https://openalex.org/W4385079041","doi":"https://doi.org/10.1109/iwcmc58020.2023.10183217","title":"Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things","display_name":"Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4385079041","doi":"https://doi.org/10.1109/iwcmc58020.2023.10183217"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc58020.2023.10183217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10183217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Wireless Communications and Mobile Computing (IWCMC)","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/A5114246699","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-4960-3019"},"institutions":[{"id":"https://openalex.org/I4210137384","display_name":"Centre for Health Technology and Services Research","ror":"https://ror.org/0434vme59","country_code":"PT","type":"facility","lineage":["https://openalex.org/I4210137384"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["CISTER Research Centre,Portugal","CyLab Security and Privacy Institute, Carnegie Mellon University (CMU), USA","CISTER Research Centre, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISTER Research Centre,Portugal","institution_ids":["https://openalex.org/I4210137384"]},{"raw_affiliation_string":"CyLab Security and Privacy Institute, Carnegie Mellon University (CMU), USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"CISTER Research Centre, Portugal","institution_ids":["https://openalex.org/I4210137384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049765501","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-9167-1613"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organization (CSIRO),Australia","Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organization (CSIRO),Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023908179","display_name":"Jingjing Zheng","orcid":"https://orcid.org/0000-0002-5728-9453"},"institutions":[{"id":"https://openalex.org/I4210137384","display_name":"Centre for Health Technology and Services Research","ror":"https://ror.org/0434vme59","country_code":"PT","type":"facility","lineage":["https://openalex.org/I4210137384"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Jingjing Zheng","raw_affiliation_strings":["CISTER Research Centre,Portugal","CyLab Security and Privacy Institute, Carnegie Mellon University (CMU), USA","CISTER Research Centre, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISTER Research Centre,Portugal","institution_ids":["https://openalex.org/I4210137384"]},{"raw_affiliation_string":"CyLab Security and Privacy Institute, Carnegie Mellon University (CMU), USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"CISTER Research Centre, Portugal","institution_ids":["https://openalex.org/I4210137384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021527965","display_name":"Wei Ni","orcid":"https://orcid.org/0000-0002-4933-594X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Ni","raw_affiliation_strings":["Commonwealth Scientific and Industrial Research Organization (CSIRO),Australia","Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organization (CSIRO),Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057916222","display_name":"Mohsen Guizani","orcid":"https://orcid.org/0000-0002-8972-8094"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohsen Guizani","raw_affiliation_strings":["MBZUAI,Abu Dhabi,United Arab Emirates","MBZUAI, Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MBZUAI,Abu Dhabi,United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]},{"raw_affiliation_string":"MBZUAI, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1421,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82379168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"898","last_page":"903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9854000210762024,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8548691272735596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8308464288711548},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7884174585342407},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7527923583984375},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5453871488571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368922352790833},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5355861783027649},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.514860987663269},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.498765230178833},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4358677566051483},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.42163345217704773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4107006788253784},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4094834327697754},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3516062796115875},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3232939541339874}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8548691272735596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308464288711548},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7884174585342407},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7527923583984375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5453871488571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368922352790833},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5355861783027649},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.514860987663269},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.498765230178833},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4358677566051483},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.42163345217704773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4107006788253784},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4094834327697754},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3516062796115875},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3232939541339874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc58020.2023.10183217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10183217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2382354666","https://openalex.org/W2889656324","https://openalex.org/W2963614579","https://openalex.org/W2982302101","https://openalex.org/W3030742901","https://openalex.org/W3048592926","https://openalex.org/W3082335637","https://openalex.org/W3087391814","https://openalex.org/W3091784605","https://openalex.org/W3111327456","https://openalex.org/W3136620885","https://openalex.org/W3171405713","https://openalex.org/W3185547071","https://openalex.org/W3187828410","https://openalex.org/W3192457170","https://openalex.org/W3200002062","https://openalex.org/W3203505883","https://openalex.org/W4210960727","https://openalex.org/W4225795792","https://openalex.org/W4285554319","https://openalex.org/W4288057793","https://openalex.org/W4290948380","https://openalex.org/W4292432025","https://openalex.org/W4293195534","https://openalex.org/W4313291084","https://openalex.org/W6778519234","https://openalex.org/W6800335922","https://openalex.org/W6805491549","https://openalex.org/W6842503205","https://openalex.org/W6842764673"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W2946768379","https://openalex.org/W3080832531","https://openalex.org/W4214626077"],"abstract_inverted_index":{"Mobile":[0],"edge":[1],"computing":[2],"(MEC)":[3],"enables":[4],"the":[5,30,36,66,70,93,106,112,123],"Internet":[6],"of":[7,13,32,69,122],"Things":[8],"(IoT)":[9],"with":[10,92,111],"seamless":[11],"integration":[12],"multiple":[14],"application":[15],"services.":[16],"Federated":[17],"learning":[18,43,63],"is":[19],"increasingly":[20],"considered":[21],"to":[22,82],"improve":[23],"training":[24,67,113],"accuracy":[25,68],"in":[26,115],"MEC-IoT":[27],"while":[28,118],"circumventing":[29],"disclosure":[31],"private":[33,48],"data,":[34],"where":[35],"IoT":[37,108],"nodes":[38,109],"collaboratively":[39],"train":[40],"a":[41,55],"machine":[42],"model":[44,86],"without":[45],"disclosing":[46],"their":[47],"data.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"new":[56],"cyber-epidemic":[57,75],"attack":[58,76,102],"that":[59,88],"progressively":[60],"manipulates":[61],"federated":[62,116],"and":[64,96],"reduces":[65],"benign":[71,94,107],"MEC-IoT.":[72],"The":[73,99],"proposed":[74,100],"explores":[77],"adversarial":[78],"graph":[79],"autoencoders":[80],"(GACE)":[81],"generate":[83],"malicious":[84],"local":[85,95],"updates":[87],"extract":[89],"correlated":[90],"features":[91],"global":[97],"models.":[98],"GACE":[101],"epidemically":[103],"infects":[104],"all":[105],"along":[110],"iterations":[114],"learning,":[117],"highly":[119],"enhancing":[120],"concealment":[121],"attack.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
