{"id":"https://openalex.org/W3126709645","doi":"https://doi.org/10.1109/icoin50884.2021.9333905","title":"Cross-Silo Model-Based Secure Federated Transfer Learning for Flow-Based Traffic Classification","display_name":"Cross-Silo Model-Based Secure Federated Transfer Learning for Flow-Based Traffic Classification","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3126709645","doi":"https://doi.org/10.1109/icoin50884.2021.9333905","mag":"3126709645"},"language":"en","primary_location":{"id":"doi:10.1109/icoin50884.2021.9333905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","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/A5041497344","display_name":"Umer Majeed","orcid":"https://orcid.org/0000-0002-5908-3889"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Umer Majeed","raw_affiliation_strings":["Kyung Hee University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044963028","display_name":"Sheikh Salman Hassan","orcid":"https://orcid.org/0000-0002-5317-6494"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sheikh Salman Hassan","raw_affiliation_strings":["Kyung Hee University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041497344"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":2.9913,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92429442,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"588","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8294813632965088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7941317558288574},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5507333874702454},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5377722978591919},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5290858745574951},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.48966506123542786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48466068506240845},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45543086528778076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3895728588104248},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22876805067062378}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8294813632965088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941317558288574},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5507333874702454},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5377722978591919},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5290858745574951},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.48966506123542786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48466068506240845},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45543086528778076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3895728588104248},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22876805067062378},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin50884.2021.9333905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2283463896","https://openalex.org/W2343828539","https://openalex.org/W2579186979","https://openalex.org/W2807006176","https://openalex.org/W2897202622","https://openalex.org/W2901321248","https://openalex.org/W2985145906","https://openalex.org/W2987317136","https://openalex.org/W3048535702","https://openalex.org/W3088682211","https://openalex.org/W3093892217","https://openalex.org/W3094056986","https://openalex.org/W3095611529","https://openalex.org/W3177095755","https://openalex.org/W3209546151","https://openalex.org/W4210968720","https://openalex.org/W4210972068","https://openalex.org/W4293363185","https://openalex.org/W6695838908","https://openalex.org/W6752029299","https://openalex.org/W6784755074"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W4380075502","https://openalex.org/W2889705046","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4312200629","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W4317565044"],"abstract_inverted_index":{"Traffic":[0],"classification":[1,11],"is":[2,28],"crucial":[3],"for":[4,79,88,107],"autonomous":[5],"network":[6],"management.":[7],"Deep":[8],"learning-based":[9],"traffic":[10,89],"methods":[12],"are":[13],"in":[14],"demand":[15],"because":[16],"of":[17,59,85],"their":[18],"ability":[19],"to":[20,31,43,67],"accurately":[21],"classify":[22],"even":[23],"encrypted":[24],"traffic.":[25],"Federated":[26,53],"learning":[27,34,39,41,78],"a":[29,101],"way":[30],"collaboratively":[32],"train":[33],"models":[35,42,61],"with":[36,62],"privacy-preservation.":[37],"Transfer":[38,54],"allows":[40,56],"share":[44],"knowledge":[45,63],"between":[46],"tasks":[47],"from":[48,65,97],"different":[49],"but":[50],"related":[51],"domains.":[52,69],"Learning":[55],"collaborative":[57],"training":[58],"privacy-preserving":[60],"sharing":[64],"source":[66],"target":[68],"In":[70],"this":[71],"paper,":[72],"we":[73],"did":[74],"secure":[75,104],"federated":[76],"transfer":[77],"improvising":[80],"the":[81,86,94],"training-time":[82],"and":[83],"accuracy":[84],"targetfederated-model":[87],"classification.":[90],"The":[91],"target-federatedmodel":[92],"outperforms":[93],"baseline-federated-model":[95],"trained":[96],"scratch.":[98],"We":[99],"implemented":[100],"simple":[102],"cross-silo":[103],"aggregation":[105],"protocol":[106],"security.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
