{"id":"https://openalex.org/W4416249950","doi":"https://doi.org/10.1109/cscn67557.2025.11230705","title":"Adaptive Edge-Cloud Collaboration for Dynamic Threat Detection in IoT Networks","display_name":"Adaptive Edge-Cloud Collaboration for Dynamic Threat Detection in IoT Networks","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4416249950","doi":"https://doi.org/10.1109/cscn67557.2025.11230705"},"language":null,"primary_location":{"id":"doi:10.1109/cscn67557.2025.11230705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn67557.2025.11230705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Standards for Communications and Networking (CSCN)","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/A5113119142","display_name":"Jawad Ahmad","orcid":null},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Jawad Ahmad","raw_affiliation_strings":["Prince Mohammad Bin Fahd University,Cybersecurity Center,Al-Khobar,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Prince Mohammad Bin Fahd University,Cybersecurity Center,Al-Khobar,Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019629910","display_name":"Tamara Zhukabayeva","orcid":"https://orcid.org/0000-0001-6345-5211"},"institutions":[{"id":"https://openalex.org/I10232997","display_name":"L. N. Gumilyov Eurasian National University","ror":"https://ror.org/0242cby63","country_code":"KZ","type":"education","lineage":["https://openalex.org/I10232997"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Tamara Zhukabayeva","raw_affiliation_strings":["L.N. Gumilyov Eurasian National University,Faculty of Information Technology,Astana,Kazakhstan"],"affiliations":[{"raw_affiliation_string":"L.N. Gumilyov Eurasian National University,Faculty of Information Technology,Astana,Kazakhstan","institution_ids":["https://openalex.org/I10232997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025234301","display_name":"Shahid Latif","orcid":"https://orcid.org/0000-0002-6368-2729"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shahid Latif","raw_affiliation_strings":["University of the West of England,School of Computing and Creative Technologies,Bristol,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of the West of England,School of Computing and Creative Technologies,Bristol,United Kingdom","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090187014","display_name":"Lazzat Zholshiyeva","orcid":"https://orcid.org/0000-0002-2526-8471"},"institutions":[{"id":"https://openalex.org/I10232997","display_name":"L. N. Gumilyov Eurasian National University","ror":"https://ror.org/0242cby63","country_code":"KZ","type":"education","lineage":["https://openalex.org/I10232997"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Lazzat Zholshiyeva","raw_affiliation_strings":["L.N. Gumilyov Eurasian National University,Faculty of Information Technology,Astana,Kazakhstan"],"affiliations":[{"raw_affiliation_string":"L.N. Gumilyov Eurasian National University,Faculty of Information Technology,Astana,Kazakhstan","institution_ids":["https://openalex.org/I10232997"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113119142"],"corresponding_institution_ids":["https://openalex.org/I138564716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41993953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.683899998664856,"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":0.683899998664856,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.0689999982714653,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.06679999828338623,"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":0.6600000262260437},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5335999727249146},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48669999837875366},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46149998903274536},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4343999922275543},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42969998717308044},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.373199999332428},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3465000092983246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155999779701233},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6600000262260437},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37700000405311584},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36239999532699585},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.32179999351501465},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3100999891757965},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.25049999356269836},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn67557.2025.11230705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn67557.2025.11230705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3143394933","https://openalex.org/W4360604161","https://openalex.org/W4388948856","https://openalex.org/W4401675889","https://openalex.org/W4402542170","https://openalex.org/W4403596384","https://openalex.org/W4405993426","https://openalex.org/W4408185944","https://openalex.org/W4410188779"],"related_works":[],"abstract_inverted_index":{"The":[0,51,138],"proliferation":[1],"of":[2,130],"IoT":[3],"devices":[4],"presents":[5],"significant":[6],"security":[7],"challenges":[8],"because":[9],"traditional":[10],"intrusion":[11],"detection":[12,44,108],"systems":[13],"(IDS)":[14],"are":[15],"insufficient":[16],"in":[17],"handling":[18],"resource":[19,103],"constraints,":[20],"latency":[21,129],"sensitivity,":[22],"and":[23,48,73,76,90,110,135,147],"dynamic":[24],"network":[25,77,95,145],"conditions.":[26],"To":[27],"address":[28],"these":[29],"issues,":[30],"this":[31],"paper":[32],"proposes":[33],"an":[34],"adaptive":[35],"edge\u2013cloud":[36],"collaborative":[37],"IDS":[38],"framework":[39,52],"that":[40,61,120],"dynamically":[41],"divides":[42],"threat":[43,70],"tasks":[45],"between":[46],"edge":[47],"cloud":[49],"resources.":[50],"features":[53],"key":[54],"innovations,":[55],"including":[56],"a":[57,81,91,128],"context-aware":[58],"decision":[59],"engine":[60],"adjusts":[62],"offloading":[63,155],"thresholds":[64],"based":[65],"on":[66],"real-time":[67],"metrics":[68],"like":[69],"confidence,":[71],"CPU":[72],"memory":[74],"usage,":[75],"latency.":[78,112],"It":[79],"incorporates":[80],"lightweight":[82],"edge-based":[83],"Random":[84],"Forest":[85],"classifier":[86],"for":[87,96],"quick":[88],"inference":[89],"cloud-based":[92],"deep":[93],"neural":[94],"comprehensive":[97],"analysis.":[98],"This":[99],"design":[100],"ensures":[101],"efficient":[102],"use":[104],"while":[105],"maintaining":[106],"high":[107],"accuracy":[109,126,142],"low":[111],"Experimental":[113],"evaluations":[114],"using":[115],"the":[116,121],"IDSIoT2024":[117],"dataset":[118],"demonstrate":[119],"hybrid":[122],"model":[123],"achieves":[124],"99.48%":[125],"with":[127],"0.034ms,":[131],"outperforming":[132],"both":[133],"edge-only":[134],"cloud-only":[136],"solutions.":[137],"system":[139],"maintains":[140],"98.6%":[141],"under":[143],"various":[144],"conditions":[146],"adapts":[148],"to":[149,159],"adversarial":[150],"noise":[151],"by":[152],"intelligently":[153],"increasing":[154],"rates":[156],"from":[157],"42.8%":[158],"83.0%,":[160],"thereby":[161],"enhancing":[162],"robustness.":[163]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
