{"id":"https://openalex.org/W4312819566","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892843","title":"Campus Network Intrusion Detection based on Federated Learning","display_name":"Campus Network Intrusion Detection based on Federated Learning","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312819566","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892843"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5100785999","display_name":"Junjun Chen","orcid":"https://orcid.org/0000-0001-8902-2553"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjun Chen","raw_affiliation_strings":["Computing Center Peking University,Beijing,China","Computing Center Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computing Center Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Computing Center Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003308987","display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0003-4849-3396"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["Computing Center Peking University,Beijing,China","Computing Center Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computing Center Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Computing Center Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051768476","display_name":"Zhongnan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongnan Fu","raw_affiliation_strings":["Computing Center Peking University,Beijing,China","Computing Center Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computing Center Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Computing Center Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017857628","display_name":"Qun Shang","orcid":"https://orcid.org/0000-0001-7237-339X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Shang","raw_affiliation_strings":["Computing Center Peking University,Beijing,China","Computing Center Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computing Center Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Computing Center Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064804308","display_name":"Hao Ma","orcid":"https://orcid.org/0000-0001-9593-4102"},"institutions":[{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ma","raw_affiliation_strings":["Computing Center Peking University,Beijing,China","Computing Center Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computing Center Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Computing Center Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210139765","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["School of Information Technology Deakin University,Deakin Blockchain Innovation Lab,Melbourne,Australia","Deakin Blockchain Innovation Lab, School of Information Technology Deakin University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology Deakin University,Deakin Blockchain Innovation Lab,Melbourne,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Deakin Blockchain Innovation Lab, School of Information Technology Deakin University, Melbourne, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100785999"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210139765"],"apc_list":null,"apc_paid":null,"fwci":0.8648,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69076752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8373699188232422},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7458921670913696},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6186935901641846},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5753594636917114},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.5664376020431519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4775979518890381},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46750128269195557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4648323059082031},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4142685830593109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3463493585586548},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19078361988067627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373699188232422},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7458921670913696},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6186935901641846},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5753594636917114},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.5664376020431519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4775979518890381},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46750128269195557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4648323059082031},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4142685830593109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3463493585586548},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19078361988067627},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W2148143831","https://openalex.org/W2530417694","https://openalex.org/W2789828921","https://openalex.org/W2900996896","https://openalex.org/W2958285686","https://openalex.org/W2964162474","https://openalex.org/W2970606380","https://openalex.org/W2981025625","https://openalex.org/W2982853004","https://openalex.org/W3011040471","https://openalex.org/W3012501605","https://openalex.org/W3022244822","https://openalex.org/W3040552057","https://openalex.org/W3042070225","https://openalex.org/W3045720734","https://openalex.org/W3048715803","https://openalex.org/W3086590218","https://openalex.org/W3092093850","https://openalex.org/W3107100345","https://openalex.org/W3114953370","https://openalex.org/W3126752450","https://openalex.org/W3195631217","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6757006202","https://openalex.org/W6770055351","https://openalex.org/W6770634426"],"related_works":["https://openalex.org/W590788508","https://openalex.org/W4235873430","https://openalex.org/W2611974471","https://openalex.org/W4313233093","https://openalex.org/W2358082531","https://openalex.org/W2589976903","https://openalex.org/W2335596023","https://openalex.org/W2026719400","https://openalex.org/W3171384686","https://openalex.org/W4388282301"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,72,79,114,129],"problem":[3],"of":[4,105,131],"data":[5,8,41,46,106,134],"scarcity":[6],"and":[7,108],"silos":[9],"in":[10,71,99],"campus":[11],"network":[12],"intrusion":[13,16,119],"detection,":[14],"an":[15],"detection":[17,35,81,120],"method":[18,26,68,92,116],"based":[19],"on":[20,84],"federated":[21,56,73,100],"learning":[22,49,57,74,101,127],"is":[23,50,69,93],"proposed.":[24],"This":[25],"allows":[27,58],"multiple":[28],"participants":[29],"to":[30,52,77,123],"collaboratively":[31],"train":[32],"a":[33,89],"global":[34,80],"model":[36],"without":[37],"sharing":[38],"their":[39],"training":[40,64,75],"with":[42],"third":[43],"parties,":[44],"protecting":[45,132],"privacy.":[47,135],"Federated":[48],"connected":[51],"transfer":[53,61],"learning,":[54],"as":[55],"participants'":[59,97],"knowledge":[60],"via":[62],"its":[63],"mechanism.":[65],"The":[66],"resampling":[67],"used":[70],"process":[76],"improve":[78],"model's":[82],"performance":[83,121],"rare":[85],"class":[86],"data.":[87],"Besides,":[88],"contribution":[90,98],"evaluation":[91],"proposed,":[94],"which":[95],"evaluates":[96],"from":[102],"two":[103],"aspects":[104],"quality":[107],"quantity.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"proposed":[115],"can":[117],"achieve":[118],"similar":[122],"traditional":[124],"centralized":[125],"collaborative":[126],"under":[128],"premise":[130],"participant":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
