{"id":"https://openalex.org/W4400235224","doi":"https://doi.org/10.1109/noms59830.2024.10574962","title":"Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems","display_name":"Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems","publication_year":2024,"publication_date":"2024-05-06","ids":{"openalex":"https://openalex.org/W4400235224","doi":"https://doi.org/10.1109/noms59830.2024.10574962"},"language":"en","primary_location":{"id":"doi:10.1109/noms59830.2024.10574962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms59830.2024.10574962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2024-2024 IEEE Network Operations and Management Symposium","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/A5053927488","display_name":"Dylan Perdig\u00e3o","orcid":"https://orcid.org/0000-0001-6923-900X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Dylan Perdig\u00e3o","raw_affiliation_strings":["University of Coimbra,CISUC, DEI,Coimbra,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Coimbra,CISUC, DEI,Coimbra,Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081229833","display_name":"Tiago Cruz","orcid":"https://orcid.org/0000-0001-9278-6503"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Tiago Cruz","raw_affiliation_strings":["University of Coimbra,CISUC, DEI,Coimbra,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Coimbra,CISUC, DEI,Coimbra,Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044815659","display_name":"Paulo Sim\u00f5es","orcid":"https://orcid.org/0000-0002-5079-8327"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Sim\u00f5es","raw_affiliation_strings":["University of Coimbra,CISUC, DEI,Coimbra,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Coimbra,CISUC, DEI,Coimbra,Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065859612","display_name":"Pedro Henriques Abreu","orcid":"https://orcid.org/0000-0002-9278-8194"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Henriques Abreu","raw_affiliation_strings":["University of Coimbra,CISUC, DEI,Coimbra,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Coimbra,CISUC, DEI,Coimbra,Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053927488"],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":0.9588,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74671533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9858999848365784,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7476789355278015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722366213798523},{"id":"https://openalex.org/keywords/industrial-control-system","display_name":"Industrial control system","score":0.5352473855018616},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4871063232421875},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.43575870990753174},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4147525429725647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30185264348983765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23741137981414795},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13387954235076904},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07809928059577942}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7476789355278015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722366213798523},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.5352473855018616},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4871063232421875},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.43575870990753174},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4147525429725647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30185264348983765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23741137981414795},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13387954235076904},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07809928059577942},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/noms59830.2024.10574962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms59830.2024.10574962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2024-2024 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W195047088","https://openalex.org/W752888290","https://openalex.org/W2099940443","https://openalex.org/W2145429839","https://openalex.org/W2148143831","https://openalex.org/W2163952039","https://openalex.org/W2166547175","https://openalex.org/W2296509296","https://openalex.org/W2330219538","https://openalex.org/W2908140179","https://openalex.org/W2952369555","https://openalex.org/W2963748489","https://openalex.org/W2991517675","https://openalex.org/W3037310712","https://openalex.org/W3047526793","https://openalex.org/W3086579950","https://openalex.org/W3157680283","https://openalex.org/W3163895120","https://openalex.org/W3186797389","https://openalex.org/W4283772362","https://openalex.org/W4285103550","https://openalex.org/W4297060071","https://openalex.org/W4314446179","https://openalex.org/W4316660992","https://openalex.org/W6754506371","https://openalex.org/W6781175393","https://openalex.org/W6839094154","https://openalex.org/W6922345125"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Energy":[0],"smart":[1,77],"grids":[2,78],"and":[3,23,33,39,51,79,94,145],"other":[4,80],"modern":[5],"industrial":[6,81,152],"control":[7,82,153],"systems":[8,154],"networks":[9],"impose":[10],"considerable":[11],"security":[12],"management":[13],"challenges":[14],"due":[15],"to":[16,65,70,91,123,135,142],"several":[17],"factors:":[18],"their":[19],"broad":[20,149],"geographic":[21],"dispersion":[22],"capillarity,":[24],"the":[25,31,40,92,97,100,103,109,115,136],"constrained":[26],"nature":[27],"of":[28,30,96,102,106,108,129,151],"many":[29],"devices":[32],"network":[34],"links":[35],"that":[36,42,89],"integrate":[37],"them,":[38],"fact":[41],"they":[43],"are":[44],"often":[45,57],"fragmented":[46],"across":[47],"multiple":[48],"domains,":[49],"owned":[50],"managed":[52],"by":[53],"different":[54,104],"entities":[55],"which":[56,112],"have":[58],"nonaligned":[59],"or":[60],"even":[61],"competing":[62],"interests.":[63],"Due":[64],"this":[66],"scenario,":[67],"we":[68],"propose":[69],"improve":[71],"federated":[72,86,138],"learning-based":[73],"anomaly":[74],"detection":[75],"for":[76,131],"networks,":[83],"using":[84],"a":[85,148],"data-centric":[87],"methodology":[88],"attends":[90],"balance":[93],"causality":[95],"data,":[98,111],"improving":[99],"representation":[101],"classes":[105],"anomalies":[107],"ingested":[110],"directly":[113],"impact":[114],"classifier's":[116],"performance.":[117],"The":[118],"proposed":[119],"approach":[120,139],"shows":[121],"up":[122],"33%":[124],"performance":[125],"improvements":[126],"in":[127],"terms":[128],"F1-score":[130],"attack":[132],"classification,":[133],"compared":[134],"baseline":[137],"(not":[140],"attending":[141],"class":[143],"imbalance":[144],"causality)":[146],"on":[147],"range":[150],"traffic":[155],"datasets.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}