{"id":"https://openalex.org/W4394862644","doi":"https://doi.org/10.1109/mce.2024.3389292","title":"An SDN-AI-Based Approach for Detecting Anomalies in Imbalance Data Within a Network of Smart Medical Devices","display_name":"An SDN-AI-Based Approach for Detecting Anomalies in Imbalance Data Within a Network of Smart Medical Devices","publication_year":2024,"publication_date":"2024-04-16","ids":{"openalex":"https://openalex.org/W4394862644","doi":"https://doi.org/10.1109/mce.2024.3389292"},"language":"en","primary_location":{"id":"doi:10.1109/mce.2024.3389292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2024.3389292","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-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/A5066560236","display_name":"Zabeehullah","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zabeehullah","raw_affiliation_strings":["National University of Sciences and Technology, Islamabad Capital Territory, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-9630-5022","affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology, Islamabad Capital Territory, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002815889","display_name":"Fahim Arif","orcid":"https://orcid.org/0000-0002-5361-8600"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Fahim Arif","raw_affiliation_strings":["National University of Sciences and Technology, Islamabad Capital Territory, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-5361-8600","affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology, Islamabad Capital Territory, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029505921","display_name":"Nauman Ali Khan","orcid":"https://orcid.org/0000-0002-7940-1960"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nauman Ali Khan","raw_affiliation_strings":["National University of Sciences and Technology, Islamabad Capital Territory, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-7940-1960","affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology, Islamabad Capital Territory, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069306207","display_name":"Qazi Mazhar ul Haq","orcid":"https://orcid.org/0000-0002-1302-7689"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Qazi Mazhar ul Haq","raw_affiliation_strings":["Yuan Ze University, Taoyuan City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1302-7689","affiliations":[{"raw_affiliation_string":"Yuan Ze University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031989062","display_name":"Muhammad Asim","orcid":"https://orcid.org/0000-0002-6423-9809"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Asim","raw_affiliation_strings":["Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-6423-9809","affiliations":[{"raw_affiliation_string":"Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062500650","display_name":"Sadique Ahmad","orcid":"https://orcid.org/0000-0001-6907-2318"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sadique Ahmad","raw_affiliation_strings":["Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-6907-2318","affiliations":[{"raw_affiliation_string":"Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0951,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96308904,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"6","first_page":"28","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.8996999859809875,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.8996999859809875,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8705999851226807,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.8310999870300293,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671295702457428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3361210227012634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671295702457428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3361210227012634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mce.2024.3389292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2024.3389292","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2099940443","https://openalex.org/W2136451165","https://openalex.org/W2951105308","https://openalex.org/W3006191871","https://openalex.org/W3110277274","https://openalex.org/W3176234924","https://openalex.org/W3192892322","https://openalex.org/W3205446974","https://openalex.org/W4295274059","https://openalex.org/W4296872261","https://openalex.org/W4310353354","https://openalex.org/W4312759862","https://openalex.org/W4324116446","https://openalex.org/W4381736190","https://openalex.org/W6736155344"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0],"Internet":[1],"of":[2,28,32,148],"Medical":[3],"Things":[4],"(IoMT)":[5],"has":[6],"become":[7],"a":[8],"novel":[9],"paradigm":[10],"for":[11,103],"real-time":[12],"healthcare":[13],"applications.":[14],"Artificial":[15],"Intelligence":[16],"(AI)":[17],"based":[18,67],"efforts":[19],"have":[20],"been":[21],"made":[22],"to":[23,38,50,77,98,122],"address":[24],"the":[25,30,79,87,90,127],"security":[26],"challenges":[27],"IoMT,":[29],"problem":[31],"imbalance":[33,55,88,136],"data":[34,56,102],"still":[35],"exists,":[36],"due":[37],"which":[39],"AI":[40],"algorithms":[41],"cannot":[42],"sufficiently":[43],"learn":[44],"malicious":[45],"traffic":[46],"behavior":[47],"and":[48,73,82,116,124,138,144,150],"fail":[49],"identify":[51],"rare":[52],"anomalies":[53],"in":[54,59,146],"accurately.":[57],"Therefore,":[58],"this":[60],"article,":[61],"we":[62],"propose":[63],"an":[64,135],"intelligent":[65],"model":[66,92,129],"on":[68,134],"Software":[69],"Defined":[70],"Networking":[71],"(SDN)":[72],"Deep":[74],"Learning":[75],"(DL)":[76],"handle":[78],"heterogeneous,":[80],"complex,":[81],"distributed":[83],"architecture.":[84],"To":[85],"tackle":[86],"challenge,":[89],"proposed":[91,128],"utilizes":[93],"Generative":[94],"Adversarial":[95],"Network":[96],"(GAN)":[97],"generate":[99],"plausible":[100],"synthetic":[101],"minor":[104],"class":[105],"traffic.":[106],"It":[107],"combines":[108],"Autoencoder-driven":[109],"deep":[110],"learning":[111],"models":[112],"with":[113],"reconstruction":[114],"error":[115],"Wasserstein":[117],"distance-based":[118],"GAN.":[119],"When":[120],"compared":[121],"naive":[123],"advanced":[125],"techniques,":[126],"produced":[130],"noticeably":[131],"better":[132],"results":[133],"dataset":[137],"outperformed":[139],"these":[140],"techniques":[141],"by":[142],"4.78%":[143],"4.54%":[145],"terms":[147],"accuracy":[149],"F1-score":[151],"values,":[152],"respectively":[153]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}