{"id":"https://openalex.org/W4404694445","doi":"https://doi.org/10.1142/s1469026824500330","title":"An Effective Deep Learning-Based Intrusion Detection System for the Healthcare Environment","display_name":"An Effective Deep Learning-Based Intrusion Detection System for the Healthcare Environment","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404694445","doi":"https://doi.org/10.1142/s1469026824500330"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026824500330","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026824500330","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5101627452","display_name":"Balaji Karnam","orcid":"https://orcid.org/0000-0003-0432-6924"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"K. Balaji","raw_affiliation_strings":["Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0003-0432-6924","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107905203","display_name":"S. Satheesh Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Satheesh Kumar","raw_affiliation_strings":["Department of CSIT, Institute of Aeronautical Engineering, Dundigal, Hyderabad 500043, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0002-7089-7648","affiliations":[{"raw_affiliation_string":"Department of CSIT, Institute of Aeronautical Engineering, Dundigal, Hyderabad 500043, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"D. Vivek","orcid":"https://orcid.org/0000-0003-1092-5958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Vivek","raw_affiliation_strings":["Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0003-1092-5958","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113087866","display_name":"S. Prem Kumar Deepak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Prem Kumar Deepak","raw_affiliation_strings":["Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India"],"raw_orcid":"https://orcid.org/0009-0009-5658-8599","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, B V Raju Institute of Technology, Narsapur, Tuljaraopet 502313, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101371233","display_name":"Ketaraju Venkata Daya Sagar","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. V. Daya Sagar","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Guntur, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0003-1874-848X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067202066","display_name":"S. Thabassum Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I157674215","display_name":"Presidency University","ror":"https://ror.org/04xgbph11","country_code":"IN","type":"education","lineage":["https://openalex.org/I157674215"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Thabassum Khan","raw_affiliation_strings":["Department of Computer Science and Engineering, Presidency University, Itgalpur, Rajanakunte, Yelahanka, Bangalore 560064, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0009-1302-4240","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Presidency University, Itgalpur, Rajanakunte, Yelahanka, Bangalore 560064, Karnataka, India","institution_ids":["https://openalex.org/I157674215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101627452"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0092,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79022732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9688000082969666,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9133999943733215,"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/computer-science","display_name":"Computer science","score":0.8905239105224609},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6173051595687866},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6114503741264343},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5343641042709351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5166552662849426},{"id":"https://openalex.org/keywords/healthcare-system","display_name":"Healthcare system","score":0.4923330545425415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4230739176273346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8905239105224609},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6173051595687866},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6114503741264343},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5343641042709351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166552662849426},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.4923330545425415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4230739176273346},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026824500330","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026824500330","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W3033120446","https://openalex.org/W3085955590","https://openalex.org/W3111288713","https://openalex.org/W3192892322","https://openalex.org/W3212101482","https://openalex.org/W3213173707","https://openalex.org/W4205737724","https://openalex.org/W4220957574","https://openalex.org/W4223612401","https://openalex.org/W4283030397","https://openalex.org/W4285030518","https://openalex.org/W4285221277","https://openalex.org/W4285239211","https://openalex.org/W4288445040","https://openalex.org/W4291158430","https://openalex.org/W4292381820","https://openalex.org/W4292387506","https://openalex.org/W4304183900","https://openalex.org/W4306631501","https://openalex.org/W4310415697","https://openalex.org/W4310835597","https://openalex.org/W4313175912","https://openalex.org/W4316591601","https://openalex.org/W4323054932","https://openalex.org/W4324057055","https://openalex.org/W4362585937","https://openalex.org/W4378084132","https://openalex.org/W4378772069","https://openalex.org/W4379471411","https://openalex.org/W4379618984","https://openalex.org/W4381188480","https://openalex.org/W4386248988","https://openalex.org/W4386521761","https://openalex.org/W4387694066","https://openalex.org/W4389477519","https://openalex.org/W4392120324"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W1159694101","https://openalex.org/W4312778074","https://openalex.org/W2797427871","https://openalex.org/W3024114128","https://openalex.org/W3214957520","https://openalex.org/W4322577590","https://openalex.org/W2932738180","https://openalex.org/W1965298590","https://openalex.org/W2329153216"],"abstract_inverted_index":{"In":[0,106,134],"the":[1,117,131,136,145,156,167,178,197],"medical":[2],"field,":[3],"Internet":[4,19],"of":[5,20],"Things":[6,22],"(IoT)":[7],"applications":[8],"allow":[9],"for":[10,50],"real-time":[11],"diagnosis":[12],"and":[13,31,35,58,81,92,191,206],"remote":[14],"patient":[15],"monitoring,":[16],"commonly":[17],"called":[18],"Health":[21],"(IoHT).":[23],"However,":[24],"cybersecurity":[25,201],"attacks":[26],"may":[27],"interrupt":[28],"hospital":[29],"operations":[30],"threaten":[32],"patients\u2019":[33],"health":[34],"well-being":[36],"due":[37],"to":[38,55,64,99,111,143,170],"this":[39,97],"integration.":[40],"Hence,":[41],"developing":[42],"an":[43],"Intrusion":[44],"Detection":[45],"System":[46],"(IDS)":[47],"suited":[48],"explicitly":[49],"healthcare":[51,70,104],"systems":[52,71],"is":[53,62,94,109,141,164,181],"essential":[54],"ensure":[56],"efficiency":[57],"accuracy.":[59],"Nevertheless,":[60],"it":[61,150],"challenging":[63],"integrate":[65],"anomaly-based":[66],"IDS":[67],"frameworks":[68],"in":[69,96,102],"as":[72],"they":[73],"necessitate":[74],"additional":[75],"processing":[76],"time,":[77],"temporal":[78],"feature":[79],"retention,":[80],"increased":[82],"complexity.":[83],"Therefore,":[84],"a":[85,103],"deep":[86,199],"learning":[87],"system":[88],"based":[89],"on":[90,184],"SqueezeNet":[91,108],"NasNet":[93],"presented":[95],"paper":[98],"detect":[100,153],"intrusions":[101],"setting.":[105],"this,":[107],"employed":[110],"extract":[112],"more":[113],"significant":[114],"features.":[115],"On":[116],"other":[118],"hand,":[119],"network":[120],"breaches":[121],"while":[122],"data":[123,172],"transmission":[124],"across":[125],"distinct":[126],"locations":[127],"are":[128],"detected":[129],"by":[130],"NasNet-based":[132],"classifier.":[133],"addition,":[135],"Rider":[137],"Optimization":[138],"Algorithm":[139],"(ROA)":[140],"applied":[142],"adjust":[144],"classifier\u2019s":[146],"hyperparameters,":[147],"guaranteeing":[148],"that":[149,196],"would":[151],"accurately":[152],"attacks.":[154],"Moreover,":[155],"Auxiliary":[157],"Classifier":[158],"Generative":[159],"Adversarial":[160],"Network":[161],"(ACGAN)":[162],"approach":[163,180],"integrated":[165],"into":[166],"proposed":[168,179,198],"framework":[169],"avoid":[171],"imbalance.":[173],"Applying":[174],"different":[175],"performance":[176],"constraints,":[177],"thoroughly":[182],"assessed":[183],"three":[185],"publicly":[186],"available":[187],"datasets":[188],"(TON-IoT,":[189],"ECU-IoHT,":[190],"WUSTL-EHMS).":[192],"The":[193],"results":[194],"show":[195],"learning-based":[200],"model":[202],"outperforms":[203],"traditional":[204],"methods":[205],"produces":[207],"better":[208],"outcomes.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
