{"id":"https://openalex.org/W4414539160","doi":"https://doi.org/10.1109/icc52391.2025.11161996","title":"Towards Decentralized, Secure, and Efficient Adaptive Learning for Robust Healthcare Monitoring","display_name":"Towards Decentralized, Secure, and Efficient Adaptive Learning for Robust Healthcare Monitoring","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539160","doi":"https://doi.org/10.1109/icc52391.2025.11161996"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5087536636","display_name":"Hussien AbdelRaouf","orcid":"https://orcid.org/0009-0007-1059-9300"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hussien AbdelRaouf","raw_affiliation_strings":["School of Computer and Cyber Sciences, Augusta University,Augusta,GA,USA,30912"],"affiliations":[{"raw_affiliation_string":"School of Computer and Cyber Sciences, Augusta University,Augusta,GA,USA,30912","institution_ids":["https://openalex.org/I25041050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012251476","display_name":"Mahmoud Abouyoussef","orcid":"https://orcid.org/0000-0003-0233-2538"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Abouyoussef","raw_affiliation_strings":["North Caroline A&T State University,Department of Computer Systems Technology,Greensboro,NC,USA,27410"],"affiliations":[{"raw_affiliation_string":"North Caroline A&T State University,Department of Computer Systems Technology,Greensboro,NC,USA,27410","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068882573","display_name":"Mostafa M. Fouda","orcid":"https://orcid.org/0000-0003-1790-8640"},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mostafa M. Fouda","raw_affiliation_strings":["Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA,83209"],"affiliations":[{"raw_affiliation_string":"Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA,83209","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063911030","display_name":"Zubair Md. Fadlullah","orcid":"https://orcid.org/0000-0002-4785-2425"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zubair Md Fadlullah","raw_affiliation_strings":["Western University,Department of Computer Science,London,Ontario,Canada,N6G 2V4"],"affiliations":[{"raw_affiliation_string":"Western University,Department of Computer Science,London,Ontario,Canada,N6G 2V4","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053163516","display_name":"Mohamed I. Ibrahem","orcid":"https://orcid.org/0000-0002-8000-4161"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed I. Ibrahem","raw_affiliation_strings":["School of Computer and Cyber Sciences, Augusta University,Augusta,GA,USA,30912"],"affiliations":[{"raw_affiliation_string":"School of Computer and Cyber Sciences, Augusta University,Augusta,GA,USA,30912","institution_ids":["https://openalex.org/I25041050"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087536636"],"corresponding_institution_ids":["https://openalex.org/I25041050"],"apc_list":null,"apc_paid":null,"fwci":5.3159,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95760473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5469","last_page":"5474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4810999929904938,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4810999929904938,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.4172999858856201,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.4147999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.636900007724762},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5971999764442444},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5419999957084656},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.47119998931884766},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44850000739097595},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4431000053882599},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4242999851703644},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.3666999936103821},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.3449999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246999740600586},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.636900007724762},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5971999764442444},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5419999957084656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5286999940872192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49880000948905945},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44850000739097595},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43479999899864197},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":13,"referenced_works":["https://openalex.org/W2172174332","https://openalex.org/W2891560655","https://openalex.org/W3193597430","https://openalex.org/W4220659807","https://openalex.org/W4220851938","https://openalex.org/W4286580810","https://openalex.org/W4311004828","https://openalex.org/W4383899505","https://openalex.org/W4387019186","https://openalex.org/W4400526840","https://openalex.org/W4403826461","https://openalex.org/W4405179357","https://openalex.org/W4408146343"],"related_works":[],"abstract_inverted_index":{"Healthcare":[0],"is":[1,107],"revolutionized":[2],"by":[3,70,207],"the":[4,7,29,45,199,204,224],"integration":[5],"of":[6,9,48,141,213],"Internet":[8],"Medical":[10],"Things":[11],"(IoMT)":[12],"and":[13,24,58,92,139,157,172,209,219],"artificial":[14],"intelligence":[15],"(AI),":[16],"enabling":[17,158],"real-time":[18],"patient":[19],"monitoring,":[20],"advanced":[21],"predictive":[22],"analytics,":[23],"personalized":[25],"treatment":[26],"plans.":[27],"However,":[28],"existing":[30,200],"AI":[31],"healthcare":[32,59,78],"models":[33],"are":[34],"typically":[35],"trained":[36],"offline":[37,217],"on":[38,121,180],"static":[39],"datasets,":[40],"limiting":[41],"their":[42],"adaptability":[43],"to":[44,109,114,136,198],"dynamic":[46],"nature":[47],"health":[49,143,183],"data.":[50,123,144],"This":[51,166],"may":[52,66],"result":[53],"in":[54],"compromising":[55],"models'":[56],"accuracy":[57,212,222],"decision-making,":[60],"rendering":[61],"them":[62],"obsolete.":[63],"Moreover,":[64],"attackers":[65],"exploit":[67],"concept":[68,94,189],"drift":[69,95,117,154,175,190,195],"injecting":[71],"frequent":[72],"data":[73,116,161,170],"shifts,":[74],"which":[75],"can":[76],"exhaust":[77],"institutions'":[79],"resources.":[80],"To":[81],"address":[82],"this":[83],"research":[84],"gap,":[85],"we":[86,125],"propose":[87,126],"a":[88,101,127,148,152,181,220],"novel":[89],"adaptive,":[90],"secure,":[91],"efficient":[93],"detection":[96,155,191,196],"framework":[97],"for":[98],"healthcare.":[99],"First,":[100],"robust":[102],"deep":[103],"learning":[104],"(DL)":[105],"model":[106,156,218],"devised":[108],"leverage":[110],"its":[111],"high-confidence":[112],"probability":[113],"detect":[115],"efficiently":[118],"without":[119],"relying":[120],"labeled":[122],"Then,":[124],"customized":[128],"consortium":[129],"blockchain":[130],"network":[131],"that":[132,187],"leverages":[133],"group":[134],"signatures":[135],"ensure":[137],"anonymity":[138],"unlinkability":[140],"patients'":[142],"It":[145],"also":[146],"utilizes":[147],"dualledger":[149],"structure,":[150],"facilitating":[151],"unified":[153],"authenticated,":[159],"drift-specific":[160],"sharing":[162],"among":[163],"medical":[164],"centers.":[165],"design":[167],"protects":[168],"against":[169],"tampering":[171],"falsely":[173],"claiming":[174],"incidents.":[176],"Our":[177],"experiments,":[178],"conducted":[179],"real":[182],"monitoring":[184],"dataset,":[185],"show":[186],"our":[188,216],"approach":[192],"achieves":[193],"comparable":[194],"performance":[197],"methods":[201],"while":[202],"reducing":[203],"computational":[205],"time":[206],"52.35%,":[208],"achieving":[210],"an":[211],"98.43":[214],"with":[215,223],"95%":[221],"online":[225],"adaptive":[226],"model.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}