{"id":"https://openalex.org/W4387067995","doi":"https://doi.org/10.1109/tce.2023.3319039","title":"Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks","display_name":"Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks","publication_year":2023,"publication_date":"2023-09-26","ids":{"openalex":"https://openalex.org/W4387067995","doi":"https://doi.org/10.1109/tce.2023.3319039"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3319039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3319039","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/A5067431309","display_name":"Waleed Yamany","orcid":"https://orcid.org/0000-0001-7626-924X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Waleed Yamany","raw_affiliation_strings":["University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7626-924X","affiliations":[{"raw_affiliation_string":"University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056050345","display_name":"Marwa Keshk","orcid":"https://orcid.org/0000-0001-5749-0408"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marwa Keshk","raw_affiliation_strings":["University of New South Wales, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089327837","display_name":"Nour Moustafa","orcid":"https://orcid.org/0000-0001-6127-9349"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nour Moustafa","raw_affiliation_strings":["University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6127-9349","affiliations":[{"raw_affiliation_string":"University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022626159","display_name":"Benjamin Turnbull","orcid":"https://orcid.org/0000-0003-0440-5032"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Benjamin Turnbull","raw_affiliation_strings":["University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0440-5032","affiliations":[{"raw_affiliation_string":"University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7449,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87141683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"1359","last_page":"1369"},"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":0.989300012588501,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340700030326843},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.6743077039718628},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6561153531074524},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6534942984580994},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5886316299438477},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.5425961017608643},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5279055237770081},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5043731927871704},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.4738911986351013},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.416177362203598},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.41388797760009766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37162089347839355},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34745579957962036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227877914905548},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.26939618587493896},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10420030355453491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340700030326843},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.6743077039718628},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6561153531074524},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6534942984580994},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5886316299438477},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5425961017608643},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5279055237770081},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5043731927871704},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4738911986351013},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.416177362203598},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.41388797760009766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37162089347839355},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34745579957962036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227877914905548},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26939618587493896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10420030355453491},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3319039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3319039","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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313567","display_name":"University of New South Wales Canberra","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2112796928","https://openalex.org/W2770587725","https://openalex.org/W2778726590","https://openalex.org/W2788210750","https://openalex.org/W2898455119","https://openalex.org/W2936436865","https://openalex.org/W2943481347","https://openalex.org/W2949161208","https://openalex.org/W2949377959","https://openalex.org/W2963334472","https://openalex.org/W2965721472","https://openalex.org/W2995022099","https://openalex.org/W2996845627","https://openalex.org/W3013124972","https://openalex.org/W3015636663","https://openalex.org/W3016560828","https://openalex.org/W3021654819","https://openalex.org/W3042029390","https://openalex.org/W3087391814","https://openalex.org/W3087652231","https://openalex.org/W3091801901","https://openalex.org/W3095101874","https://openalex.org/W3106356772","https://openalex.org/W3118608800","https://openalex.org/W3129603732","https://openalex.org/W3157850870","https://openalex.org/W3177095755","https://openalex.org/W4210960727","https://openalex.org/W4237972311","https://openalex.org/W4289548211","https://openalex.org/W4313576394","https://openalex.org/W4322730952","https://openalex.org/W4366250585","https://openalex.org/W4366978302","https://openalex.org/W4377079740","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6750462152","https://openalex.org/W6752600739","https://openalex.org/W6754939487","https://openalex.org/W6756840679","https://openalex.org/W6758757267","https://openalex.org/W6759226220","https://openalex.org/W6762028012","https://openalex.org/W6762930437","https://openalex.org/W6763497089","https://openalex.org/W6770634426","https://openalex.org/W6789305514"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"is":[3],"a":[4,21,98],"paradigm":[5],"of":[6,28,56,75,122,156,164],"distributed":[7,77],"machine":[8],"learning":[9,103],"that":[10],"enables":[11],"multiple":[12],"devices":[13],"or":[14],"clients":[15,129],"to":[16,44,82,92],"work":[17],"together":[18],"in":[19,48,109,160],"training":[20],"common":[22],"model":[23],"while":[24],"keeping":[25],"the":[26,54,70,120,126,131,154,157,162,167,183],"privacy":[27],"individual":[29],"data.":[30],"However,":[31],"FL":[32,165,185],"has":[33],"several":[34],"issues":[35],"such":[36,52],"as":[37,53],"slow":[38,83],"convergence,":[39],"communication":[40,87,123,141],"overhead,":[41],"and":[42,59,72,85,130,133,143,169],"vulnerability":[43],"adversarial":[45,114,135],"attacks,":[46],"particularly":[47],"Industry":[49,110],"5":[50],"environments":[51],"Internet":[55],"Things":[57],"(IoT)":[58],"its":[60],"integration":[61],"with":[62,178,182],"traditional":[63],"manufacturing":[64],"processes.":[65],"These":[66],"challenges":[67,95,163],"stem":[68],"from":[69],"diverse":[71],"non-IID":[73],"nature":[74],"data":[76,147],"across":[78],"clients,":[79],"which":[80],"leads":[81],"convergence":[84],"increased":[86],"rounds.":[88],"This":[89],"paper":[90],"aims":[91],"address":[93],"these":[94],"by":[96],"proposing":[97],"grey":[99],"wolf":[100],"optimisation-based":[101],"federated":[102],"(GWOFL)":[104],"approach":[105,118,159,174],"for":[106],"offering":[107],"resilience":[108],"5.0":[111],"settings":[112],"against":[113,146],"attacks.":[115,149],"The":[116,172],"proposed":[117,158,173],"decreases":[119],"number":[121],"rounds,":[124],"reduces":[125,140],"payload":[127],"between":[128],"server,":[132],"withstands":[134],"attacks":[136],"simultaneously.":[137],"It":[138],"also":[139],"overhead":[142],"successfully":[144],"defends":[145],"poisoning":[148],"Experimental":[150],"results":[151],"have":[152],"revealed":[153],"efficiency":[155],"overcoming":[161],"using":[166],"MNIST":[168],"CIFAR-10":[170],"datasets.":[171],"converges":[175],"faster,":[176],"along":[177],"higher":[179],"accuracy":[180],"compared":[181],"peer":[184],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}