{"id":"https://openalex.org/W4361200061","doi":"https://doi.org/10.23919/icact56868.2023.10079624","title":"A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks","display_name":"A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361200061","doi":"https://doi.org/10.23919/icact56868.2023.10079624"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079624","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","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/A5101573735","display_name":"Phuc Hao","orcid":"https://orcid.org/0000-0003-0645-0021"},"institutions":[{"id":"https://openalex.org/I4210125720","display_name":"Danang Architecture University","ror":"https://ror.org/03aebk093","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210125720"]},{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU","VN"],"is_corresponding":true,"raw_author_name":"Phuc Hao Do","raw_affiliation_strings":["The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","Danang Architecture University, Da Nang, Viet Nam","The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"Danang Architecture University, Da Nang, Viet Nam","institution_ids":["https://openalex.org/I4210125720"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038961438","display_name":"Tran Duc Le","orcid":"https://orcid.org/0000-0003-3735-0314"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Duc Le","raw_affiliation_strings":["University of Science and Technology – The University of Danang,Da Nang,Viet Nam"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology – The University of Danang,Da Nang,Viet Nam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040822328","display_name":"Vladimir Vishnevsky","orcid":"https://orcid.org/0000-0001-7373-4847"},"institutions":[{"id":"https://openalex.org/I4210157430","display_name":"V. A. Trapeznikov Institute of Control Sciences","ror":"https://ror.org/05f3yt521","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210157430","https://openalex.org/I4210164537"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Vishnevsky","raw_affiliation_strings":["V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210157430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077477534","display_name":"Aleksandr Berezkin","orcid":"https://orcid.org/0000-0002-1748-8642"},"institutions":[{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Berezkin","raw_affiliation_strings":["The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007458233","display_name":"Ruslan Kirichek","orcid":"https://orcid.org/0000-0002-8781-6840"},"institutions":[{"id":"https://openalex.org/I4210157430","display_name":"V. A. Trapeznikov Institute of Control Sciences","ror":"https://ror.org/05f3yt521","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210157430","https://openalex.org/I4210164537"]},{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ruslan Kirichek","raw_affiliation_strings":["The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia","V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]},{"raw_affiliation_string":"V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210157430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101573735"],"corresponding_institution_ids":["https://openalex.org/I37355250","https://openalex.org/I4210125720"],"apc_list":null,"apc_paid":null,"fwci":2.0175,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86918787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/malware","display_name":"Malware","score":0.9159822463989258},{"id":"https://openalex.org/keywords/botnet","display_name":"Botnet","score":0.9130593538284302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472037315368652},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6838266253471375},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6514992713928223},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.614767849445343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5466204285621643},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.47763457894325256},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.474398136138916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46682876348495483},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.41273126006126404},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.410236120223999},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.40475165843963623},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.39314496517181396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3690851926803589},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35108551383018494},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17794281244277954}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9159822463989258},{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.9130593538284302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472037315368652},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6838266253471375},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6514992713928223},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.614767849445343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5466204285621643},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47763457894325256},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.474398136138916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46682876348495483},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.41273126006126404},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.410236120223999},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.40475165843963623},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.39314496517181396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3690851926803589},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35108551383018494},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17794281244277954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079624","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W1970869063","https://openalex.org/W2004353783","https://openalex.org/W2159401492","https://openalex.org/W2464785945","https://openalex.org/W2627058829","https://openalex.org/W2755191826","https://openalex.org/W2799758613","https://openalex.org/W2889423969","https://openalex.org/W2913823047","https://openalex.org/W2929305171","https://openalex.org/W2963105378","https://openalex.org/W2969834664","https://openalex.org/W2986455874","https://openalex.org/W2990268365","https://openalex.org/W2992880192","https://openalex.org/W2995022099","https://openalex.org/W3000094279","https://openalex.org/W3008621121","https://openalex.org/W3009569043","https://openalex.org/W3014732532","https://openalex.org/W3097494778","https://openalex.org/W3098602644","https://openalex.org/W3121463837","https://openalex.org/W3122864121","https://openalex.org/W3123346250","https://openalex.org/W3163895120","https://openalex.org/W3217284878","https://openalex.org/W4200019171","https://openalex.org/W4304820084","https://openalex.org/W6640212811","https://openalex.org/W6719736774"],"related_works":["https://openalex.org/W2929621094","https://openalex.org/W1996006176","https://openalex.org/W4285325964","https://openalex.org/W1599449514","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2984436043"],"abstract_inverted_index":{"To":[0],"detect":[1,137],"botnet":[2,32],"attack":[3,33],"traffics":[4],"in":[5,140],"the":[6,20,42,49,61,81,97,100,151,155,159],"Internet":[7],"of":[8,65,84,99],"Things":[9],"(IoT)":[10],"networks,":[11],"Deep":[12],"Learning":[13,58,102,128],"(DL)":[14],"has":[15,72],"received":[16],"much":[17],"attention.":[18],"However,":[19],"conventional":[21],"centralized":[22,43,121],"deep":[23],"learning":[24,68],"technique":[25],"cannot":[26],"be":[27,134],"utilized":[28],"to":[29,41,136],"identify":[30],"a":[31,77,120],"and":[34,59,115,132],"ensure":[35],"user":[36],"data":[37],"privacy":[38],"simultaneously":[39],"due":[40],"dataset":[44,78],"characteristic.":[45],"This":[46],"study":[47],"addresses":[48],"IoT":[50,87],"malware":[51],"traffic":[52,83,139],"detection":[53],"opportunities":[54],"afforded":[55],"by":[56,90],"Federated":[57,101,127],"examines":[60],"inherent":[62],"security":[63],"concerns":[64],"this":[66,93],"new":[67],"paradigm.":[69],"The":[70,123],"framework":[71],"been":[73],"evaluated":[74,161],"using":[75,104],"N-BaIoT,":[76],"that":[79,126,148,153],"collects":[80],"network":[82],"many":[85],"real":[86],"devices":[88],"infected":[89],"malware.":[91],"In":[92,142],"paper,":[94],"we":[95,144],"compare":[96],"effectiveness":[98],"model":[103,152],"famous":[105],"models":[106],"such":[107],"as":[108],"Convolutional":[109],"Neural":[110],"Network,":[111],"Long":[112],"Short-Term":[113],"Memory,":[114],"Gated":[116],"Recurrent":[117],"Unit":[118],"with":[119],"approach.":[122],"results":[124,157],"show":[125],"achieves":[129],"high":[130],"performance":[131],"can":[133],"used":[135],"abnormal":[138],"IoT.":[141],"addition,":[143],"experimentally":[145],"point":[146],"out":[147],"CNN":[149],"is":[150],"gives":[154],"best":[156],"among":[158],"three":[160],"models.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}