{"id":"https://openalex.org/W4416957014","doi":"https://doi.org/10.1007/s43926-025-00260-z","title":"Optimization of distributed network intrusion detection system based on internet of things and federated learning","display_name":"Optimization of distributed network intrusion detection system based on internet of things and federated learning","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416957014","doi":"https://doi.org/10.1007/s43926-025-00260-z"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-025-00260-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00260-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43926-025-00260-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062291447","display_name":"Yongtao Liang","orcid":"https://orcid.org/0000-0002-8993-3012"},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqiong Liang","raw_affiliation_strings":["Department of Information Engineering, Yangjiang Polytechnic, Yangjiang, 529500, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Yangjiang Polytechnic, Yangjiang, 529500, Guangdong, China","institution_ids":["https://openalex.org/I4210118178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060227414","display_name":"Mingwan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwan Luo","raw_affiliation_strings":["Department of Information Engineering, Yangjiang Polytechnic, Yangjiang, 529500, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Yangjiang Polytechnic, Yangjiang, 529500, Guangdong, China","institution_ids":["https://openalex.org/I4210118178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062291447"],"corresponding_institution_ids":["https://openalex.org/I4210118178"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40856483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.7746000289916992,"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":0.7746000289916992,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.014600000344216824,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.011900000274181366,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.767799973487854},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.45680001378059387},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4002000093460083},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.36880001425743103},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.36649999022483826},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3571000099182129},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.34290000796318054},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.34200000762939453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104000091552734},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.767799973487854},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35499998927116394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3449999988079071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C11392498","wikidata":"https://www.wikidata.org/wiki/Q11288","display_name":"Web server","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C107645828","wikidata":"https://www.wikidata.org/wiki/Q12070446","display_name":"System model","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s43926-025-00260-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00260-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0445b432d6a64220a3c1432dad45946e","is_oa":true,"landing_page_url":"https://doaj.org/article/0445b432d6a64220a3c1432dad45946e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Internet of Things, Vol 6, Iss 1, Pp 1-35 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s43926-025-00260-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00260-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W3082065751","https://openalex.org/W3110547954","https://openalex.org/W3160455160","https://openalex.org/W3171802458","https://openalex.org/W3192184909","https://openalex.org/W3195027245","https://openalex.org/W3213574824","https://openalex.org/W4210960727","https://openalex.org/W4213102562","https://openalex.org/W4220810976","https://openalex.org/W4220886040","https://openalex.org/W4283019189","https://openalex.org/W4303022566","https://openalex.org/W4309449838","https://openalex.org/W4309494115","https://openalex.org/W4312384107","https://openalex.org/W4318486183","https://openalex.org/W4385210255","https://openalex.org/W4385234157","https://openalex.org/W4386386840","https://openalex.org/W4390692351","https://openalex.org/W4394627330","https://openalex.org/W4404371538","https://openalex.org/W4408841715","https://openalex.org/W4409363817","https://openalex.org/W4412037208"],"related_works":[],"abstract_inverted_index":{"The":[0,29,50,91,131],"Internet":[1],"of":[2,13,20,27,32,82,127,170,177,221],"Things":[3],"(IoT)":[4],"has":[5],"been":[6],"proposed":[7],"to":[8,16,41,77,109,229],"pose":[9],"a":[10,53,66,171,223],"greater":[11],"risk":[12],"cyberattacks":[14],"due":[15],"the":[17,24,100,104,158,168,178,186,209,219],"large":[18],"amounts":[19],"data":[21],"traffic":[22],"and":[23,47,73,79,112,141,163,180,202,213,241],"diverse":[25],"range":[26],"devices.":[28],"main":[30],"limitations":[31],"traditional":[33],"centralized":[34],"intrusion":[35,58,182],"detection":[36,126,183],"systems":[37],"(IDSs)":[38],"are":[39,134,154],"attributed":[40],"privacy":[42],"risks,":[43],"high":[44],"communication":[45],"costs,":[46],"poor":[48],"scalability.":[49],"research":[51],"presents":[52],"distributed,":[54],"privacy-preserving":[55,181],"framework":[56,184],"for":[57,99,124],"detection,":[59],"which":[60,153],"combines":[61],"Federated":[62,105,159],"Learning":[63,69],"(FL)":[64],"with":[65],"new":[67],"Deep":[68],"model":[70,123,132,139],"that":[71],"performs":[72],"optimizes":[74],"network":[75,129],"intrusions":[76],"collect":[78],"analyze":[80],"aspects":[81],"\u201cfederated\u201d":[83],"augmentation,":[84],"then":[85],"improve":[86],"security":[87],"in":[88,102,196,208],"Web":[89],"usage.":[90],"particular":[92],"method":[93,228],"includes":[94],"Recursive":[95],"Feature":[96],"Elimination":[97],"(RFE)":[98],"reduction":[101],"characteristics,":[103],"Kalman":[106],"Filter":[107],"(FKF)":[108],"reduce":[110],"noise,":[111],"an":[113,232],"Adaptive":[114],"Artificial":[115],"Fish":[116],"Swarm":[117],"optimized":[118],"Long":[119],"Short-Term":[120],"Memory":[121],"(AdapAFS-LSTM)":[122],"accurate":[125],"multi-type":[128],"intrusions.":[130],"parameters":[133,148],"distributed":[135,179],"based":[136,156],"on":[137,157,185],"IoT":[138,151,236],"nodes":[140],"do":[142],"not":[143],"share":[144],"raw":[145],"data.":[146],"Model":[147],"learn":[149],"from":[150],"nodes,":[152],"combined":[155],"Proximal":[160],"(FedProx)":[161],"algorithm":[162],"can":[164],"be":[165],"applied":[166],"toward":[167],"development":[169],"robust":[172],"global":[173],"IDS.":[174],"Experimental":[175],"evaluation":[176],"Multi-Type":[187],"Network":[188],"Attack":[189],"Detection":[190],"(M-TNAD)":[191],"dataset":[192],"demonstrated":[193],"superior":[194],"performance":[195,214],"achieving":[197],"99.79%":[198],"accuracy,":[199],"F1-score,":[200],"precision,":[201],"recall,":[203],"showing":[204],"low":[205],"resource":[206],"consumption":[207],"final":[210],"execution":[211],"time":[212],"metrics.":[215],"This":[216],"work":[217],"demonstrates":[218],"potential":[220],"implementing":[222],"federated,":[224],"optimization-driven":[225],"deep":[226],"learning":[227],"effectively":[230],"develop":[231],"IDS":[233],"solution":[234],"against":[235],"networks":[237],"through":[238],"optimization":[239],"methodology":[240],"machine":[242],"learning.":[243]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-12-03T00:00:00"}
