{"id":"https://openalex.org/W4404029887","doi":"https://doi.org/10.1109/icccnt61001.2024.10725215","title":"An Optimized Intrusion Detection Model Using ML and Explainable AI","display_name":"An Optimized Intrusion Detection Model Using ML and Explainable AI","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404029887","doi":"https://doi.org/10.1109/icccnt61001.2024.10725215"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725215","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5111190559","display_name":"Nikunj Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nikunj Jain","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096773866","display_name":"Jawed Hawari","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jawed Hawari","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109713595","display_name":"Priyanshu Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanshu Jha","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038396034","display_name":"H. N. Vishwas","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H.N. Vishwas","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013135593","display_name":"Manish Jain","orcid":"https://orcid.org/0000-0001-9473-0888"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Jain","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,Bengaluru,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111190559"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.1094,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80204941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.8289999961853027,"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":0.8289999961853027,"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":0.7099229693412781},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7076770067214966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43681418895721436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099229693412781},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7076770067214966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43681418895721436}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725215","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1985987493","https://openalex.org/W2734481924","https://openalex.org/W2801716192","https://openalex.org/W4288061065","https://openalex.org/W4296149706","https://openalex.org/W4306760877","https://openalex.org/W4312663986","https://openalex.org/W4385462596","https://openalex.org/W4387451288","https://openalex.org/W4388573952","https://openalex.org/W4389513574","https://openalex.org/W4390229370","https://openalex.org/W4393151547","https://openalex.org/W6638059365","https://openalex.org/W6741393050"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,79],"the":[1,71,87,99,105,110,115],"maintenance":[2],"of":[3,117],"network":[4,54],"security,":[5],"Intrusion":[6],"Detection":[7],"Systems":[8],"(IDS)":[9],"are":[10,132],"very":[11],"crucial":[12],"in":[13,133],"identifying":[14],"unauthorized":[15],"access":[16],"and":[17,59,122,141],"malicious":[18],"activities.":[19],"This":[20],"research":[21],"assesses":[22],"how":[23,124],"well":[24],"different":[25],"machine":[26,40],"learning":[27,41],"algorithms":[28,42],"enhance":[29],"IDS":[30,121,136],"functionality,":[31],"highlighting":[32],"model":[33],"interpretability":[34],"through":[35],"explainable":[36,126],"AI":[37,127],"techniques.":[38],"Eight":[39],"were":[43],"assessed":[44],"using":[45],"a":[46,52],"dataset":[47],"from":[48],"Kaggle":[49],"that":[50,102,135],"reflects":[51],"military":[53],"environment":[55],"with":[56],"41":[57],"features":[58,101],"22,544":[60],"records.":[61],"Local":[62],"Interpretable":[63],"Model-agnostic":[64],"Explanations":[65],"(LIME)":[66],"was":[67],"used":[68],"to":[69],"analyze":[70],"top":[72],"five":[73],"models":[74],"for":[75,120,146],"their":[76],"decision-making":[77],"procedures.":[78],"several":[80],"metrics,":[81],"Random":[82,118],"Forest":[83,119],"algorithm":[84],"appeared":[85],"as":[86,130],"best":[88],"performing":[89],"among":[90],"them":[91],"all.":[92],"LIME":[93,131],"application":[94],"provided":[95],"useful":[96],"insights":[97],"into":[98],"main":[100],"impact":[103],"on":[104],"predictions":[106,145],"being":[107],"made":[108],"by":[109],"model.":[111],"The":[112],"outcomes":[113],"demonstrate":[114],"effectiveness":[116],"indicate":[123],"vital":[125],"methods":[128],"such":[129],"ensuring":[134],"deployment":[137],"can":[138],"achieve":[139],"transparency":[140],"reliability":[142],"concerning":[143],"its":[144],"this":[147],"model\u2019s":[148],"purpose.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
