{"id":"https://openalex.org/W4210656975","doi":"https://doi.org/10.1109/globecom46510.2021.9685745","title":"Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System","display_name":"Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210656975","doi":"https://doi.org/10.1109/globecom46510.2021.9685745"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685745","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5071892663","display_name":"Wei Yao","orcid":"https://orcid.org/0000-0003-4672-4584"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China","School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736887","display_name":"Kuan Zhang","orcid":"https://orcid.org/0000-0002-4262-153X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuan Zhang","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001459619","display_name":"Chong Yu","orcid":"https://orcid.org/0000-0002-6244-3486"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chong Yu","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457326","display_name":"Zhao Hai","orcid":"https://orcid.org/0000-0001-9796-054X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China","School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2368,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77153465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.8527870178222656},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6521220207214355},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6273229122161865},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6000004410743713},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5723201632499695},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5356758236885071},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4589858949184418},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4189852476119995},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4155585765838623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40792039036750793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39774537086486816},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3204993009567261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3177797198295593},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18282899260520935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527870178222656},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6521220207214355},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6273229122161865},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6000004410743713},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5723201632499695},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5356758236885071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4589858949184418},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4189852476119995},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4155585765838623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40792039036750793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39774537086486816},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3204993009567261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3177797198295593},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18282899260520935},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685745","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5821507454","display_name":null,"funder_award_id":"2019JSJ12ZDYF01","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6291420280","display_name":null,"funder_award_id":"2020GFZD014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1994830145","https://openalex.org/W2099940443","https://openalex.org/W2113242816","https://openalex.org/W2155806188","https://openalex.org/W2284098035","https://openalex.org/W2334853001","https://openalex.org/W2418891196","https://openalex.org/W2529984679","https://openalex.org/W2557450880","https://openalex.org/W2590373591","https://openalex.org/W2752291283","https://openalex.org/W2756940441","https://openalex.org/W2763925543","https://openalex.org/W2790513427","https://openalex.org/W2901492899","https://openalex.org/W2907421153","https://openalex.org/W2911171945","https://openalex.org/W2916444481","https://openalex.org/W2932046728","https://openalex.org/W2975052829","https://openalex.org/W3006115916","https://openalex.org/W3117829857","https://openalex.org/W3121338000","https://openalex.org/W3140476622","https://openalex.org/W6717487894"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"With":[0],"the":[1,7,12,19,44,62,120,129,138,148,157,166,172,190,211,215],"thriving":[2],"of":[3,10,22,58,64,95,122,140,198,207,214],"wearable":[4],"devices":[5],"and":[6,124,142,182,202],"widespread":[8],"use":[9,63],"smartphones,":[11],"e-healthcare":[13],"system":[14,30],"emerges":[15],"to":[16,33,47,85,98,146,163],"cope":[17],"with":[18,219],"high":[20,153],"demand":[21],"health":[23,29],"services.":[24],"However,":[25],"this":[26,75],"integrated":[27],"smart":[28],"is":[31],"vulnerable":[32],"various":[34],"attacks,":[35],"including":[36],"intrusion":[37],"attacks.":[38,88],"Traditional":[39],"detection":[40,67,72,130,149,154,200,208,213],"schemes":[41],"generally":[42],"lack":[43],"classifier":[45],"diversity":[46,139],"identify":[48,92],"attacks":[49,104],"in":[50,70,156,196],"complex":[51],"scenarios":[52],"that":[53,128,189],"contain":[54],"a":[55,111],"small":[56],"amount":[57],"training":[59],"data.":[60],"Moreover,":[61,135],"cloud-based":[65],"attack":[66],"may":[68],"result":[69],"higher":[71],"latency.":[73],"In":[74],"paper,":[76],"we":[77,90,108,136],"propose":[78,110],"an":[79],"Edge-assisted":[80],"Anomaly":[81],"Detection":[82],"(EAD)":[83],"scheme":[84],"detect":[86],"malicious":[87],"Specifically,":[89],"first":[91],"four":[93],"types":[94],"attackers":[96],"according":[97],"their":[99],"attacking":[100],"capabilities.":[101],"To":[102,151],"distinguish":[103],"from":[105],"normal":[106],"behaviors,":[107],"then":[109],"wrapper":[112],"feature":[113],"selection":[114,117],"method.":[115],"This":[116],"method":[118],"eliminates":[119],"impact":[121],"irrelevant":[123],"redundant":[125],"features":[126],"so":[127],"accuracy":[131],"can":[132],"be":[133],"improved.":[134],"investigate":[137],"classifiers":[141],"exploit":[143],"ensemble":[144],"learning":[145],"improve":[147],"rate.":[150],"reduce":[152],"latency":[155],"cloud,":[158],"edge":[159],"nodes":[160],"are":[161],"used":[162],"concurrently":[164],"implement":[165],"proposed":[167,216],"lightweight":[168],"scheme.":[169],"We":[170],"evaluate":[171],"EAD":[173,191,217],"performance":[174],"based":[175],"on":[176],"two":[177],"real-world":[178],"datasets,":[179],"i.e.,":[180],"NSL-KDD":[181],"UNSW-NB15":[183],"datasets.":[184],"The":[185,205],"simulation":[186],"results":[187],"show":[188],"outperforms":[192],"other":[193],"state-of-the-art":[194],"methods":[195],"terms":[197],"accuracy,":[199],"rate,":[201],"computational":[203],"complexity.":[204],"analysis":[206],"time":[209],"validates":[210],"fast":[212],"compared":[218],"cloud-assisted":[220],"schemes.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}