{"id":"https://openalex.org/W4417012250","doi":"https://doi.org/10.1002/spy2.70160","title":"An Efficient Intrusion Detection Model Employing Improved Boruta Search Optimization Approach for <scp>IoT</scp> Applications","display_name":"An Efficient Intrusion Detection Model Employing Improved Boruta Search Optimization Approach for <scp>IoT</scp> Applications","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417012250","doi":"https://doi.org/10.1002/spy2.70160"},"language":"en","primary_location":{"id":"doi:10.1002/spy2.70160","is_oa":false,"landing_page_url":"https://doi.org/10.1002/spy2.70160","pdf_url":null,"source":{"id":"https://openalex.org/S4210233143","display_name":"Security and Privacy","issn_l":"2475-6725","issn":["2475-6725"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SECURITY AND PRIVACY","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/A5058536861","display_name":"Aishwarya Vardhan","orcid":"https://orcid.org/0000-0001-7220-5257"},"institutions":[{"id":"https://openalex.org/I70971781","display_name":"Dr. B. R. Ambedkar National Institute of Technology Jalandhar","ror":"https://ror.org/03xt0bg88","country_code":"IN","type":"education","lineage":["https://openalex.org/I70971781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aishwarya Vardhan","raw_affiliation_strings":["Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar  Jalandhar India","Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar Jalandhar India"],"raw_orcid":"https://orcid.org/0000-0001-7220-5257","affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar  Jalandhar India","institution_ids":["https://openalex.org/I70971781"]},{"raw_affiliation_string":"Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar Jalandhar India","institution_ids":["https://openalex.org/I70971781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581163","display_name":"Prashant Kumar","orcid":"https://orcid.org/0000-0001-8100-8220"},"institutions":[{"id":"https://openalex.org/I70971781","display_name":"Dr. B. R. Ambedkar National Institute of Technology Jalandhar","ror":"https://ror.org/03xt0bg88","country_code":"IN","type":"education","lineage":["https://openalex.org/I70971781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prashant Kumar","raw_affiliation_strings":["Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar  Jalandhar India","Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar Jalandhar India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar  Jalandhar India","institution_ids":["https://openalex.org/I70971781"]},{"raw_affiliation_string":"Department of Computer Science &amp; Engineering Dr. BR Ambedkar NIT Jalandhar Jalandhar India","institution_ids":["https://openalex.org/I70971781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052416182","display_name":"Lalit Kumar Awasthi","orcid":"https://orcid.org/0000-0001-8396-9025"},"institutions":[{"id":"https://openalex.org/I57085157","display_name":"Sardar Patel University","ror":"https://ror.org/05kfstc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I57085157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lalit K. Awasthi","raw_affiliation_strings":["Sardar Patel University  Mandi India","Sardar Patel University, Mandi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sardar Patel University  Mandi India","institution_ids":["https://openalex.org/I57085157"]},{"raw_affiliation_string":"Sardar Patel University, Mandi, India","institution_ids":["https://openalex.org/I57085157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058536861"],"corresponding_institution_ids":["https://openalex.org/I70971781"],"apc_list":{"value":3140,"currency":"USD","value_usd":3140},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41901614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","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":0.8396000266075134,"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":0.8396000266075134,"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/T13324","display_name":"Scientific and Engineering Research Topics","score":0.03060000017285347,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.019600000232458115,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6948999762535095},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5738999843597412},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5666999816894531},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/anomaly-based-intrusion-detection-system","display_name":"Anomaly-based intrusion detection system","score":0.4399999976158142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4088999927043915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40209999680519104},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3905999958515167},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3668999969959259}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6948999762535095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499999761581421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6089000105857849},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5738999843597412},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5666999816894531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212000012397766},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.4399999976158142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41440001130104065},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26829999685287476},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.2653999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2776973144","wikidata":"https://www.wikidata.org/wiki/Q6880649","display_name":"Misuse detection","level":4,"score":0.2599000036716461},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/spy2.70160","is_oa":false,"landing_page_url":"https://doi.org/10.1002/spy2.70160","pdf_url":null,"source":{"id":"https://openalex.org/S4210233143","display_name":"Security and Privacy","issn_l":"2475-6725","issn":["2475-6725"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SECURITY AND PRIVACY","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2241118198","https://openalex.org/W2512934628","https://openalex.org/W2748166927","https://openalex.org/W2750868742","https://openalex.org/W2947334153","https://openalex.org/W2979998718","https://openalex.org/W2980822460","https://openalex.org/W3055742330","https://openalex.org/W3084968870","https://openalex.org/W3164082193","https://openalex.org/W3183608804","https://openalex.org/W3189826552","https://openalex.org/W3194111370","https://openalex.org/W3202083238","https://openalex.org/W4200614416","https://openalex.org/W4211114749","https://openalex.org/W4221004701","https://openalex.org/W4226058218","https://openalex.org/W4319080633","https://openalex.org/W4321016094","https://openalex.org/W4321609027","https://openalex.org/W4362705493","https://openalex.org/W4366748065","https://openalex.org/W4367395368","https://openalex.org/W4382793227","https://openalex.org/W4383337003","https://openalex.org/W4386376682","https://openalex.org/W4388573952","https://openalex.org/W4388805505","https://openalex.org/W4390299918","https://openalex.org/W4399110650"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,108],"rising":[2],"frequency":[3],"of":[4,29,41,50,115,123],"cyberattacks":[5],"has":[6],"made":[7],"Network":[8],"Intrusion":[9],"Detection":[10],"Systems":[11],"(NIDS)":[12],"essential":[13],"for":[14,63,100],"securing":[15],"IoT":[16],"environments.":[17],"However,":[18],"NIDS":[19],"performance":[20],"largely":[21],"depends":[22],"on":[23,128],"the":[24,38,48],"learning":[25],"mechanism":[26],"and":[27,67,79,93,118,120,126,131],"quality":[28],"training":[30],"data.":[31],"Traditional":[32],"rule\u2010based":[33],"methods":[34],"struggle":[35],"to":[36,54],"process":[37],"massive":[39],"volume":[40],"network":[42],"traffic":[43],"generated":[44],"within":[45],"seconds,":[46],"prompting":[47],"adoption":[49],"data":[51],"mining":[52],"techniques":[53],"enhance":[55],"detection":[56,65,103],"accuracy.":[57,81],"Effective":[58],"feature":[59],"selection":[60],"is":[61],"crucial":[62],"improving":[64],"rates":[66],"computational":[68],"efficiency":[69],"but":[70],"still":[71],"faces":[72],"challenges":[73],"like":[74],"high":[75],"dimensionality,":[76],"false":[77],"positives,":[78],"reduced":[80],"To":[82],"overcome":[83],"these":[84],"limitations,":[85],"this":[86],"study":[87],"introduces":[88],"a":[89],"modified":[90],"Boruta":[91],"Search":[92],"Krill":[94],"Herd":[95],"Optimization\u2010based":[96],"(BS\u2010KHA)":[97],"classification":[98,113],"model":[99,110],"precise":[101],"intrusion":[102],"across":[104],"multiple":[105],"IDS":[106,136],"datasets.":[107],"proposed":[109],"achieved":[111],"binary":[112],"accuracies":[114,122],"99.85%,":[116],"99.96%,":[117],"99.92%,":[119],"multiclass":[121],"99.93%,":[124],"99.99%,":[125],"99.87%":[127],"NSL\u2010KDD,":[129],"UNSW\u2010NB15,":[130],"CICIDS2017":[132],"datasets,":[133],"respectively\u2014surpassing":[134],"existing":[135],"frameworks.":[137]},"counts_by_year":[],"updated_date":"2025-12-05T23:25:22.460635","created_date":"2025-12-04T00:00:00"}
