{"id":"https://openalex.org/W3214541794","doi":"https://doi.org/10.4018/ijoci.2022010102","title":"A Hybrid Classification Technique for Enhancing the Effectiveness of Intrusion Detection Systems Using Machine Learning","display_name":"A Hybrid Classification Technique for Enhancing the Effectiveness of Intrusion Detection Systems Using Machine Learning","publication_year":2021,"publication_date":"2021-11-05","ids":{"openalex":"https://openalex.org/W3214541794","doi":"https://doi.org/10.4018/ijoci.2022010102","mag":"3214541794"},"language":"en","primary_location":{"id":"doi:10.4018/ijoci.2022010102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoci.2022010102","pdf_url":null,"source":{"id":"https://openalex.org/S199269040","display_name":"International Journal of Organizational and Collective Intelligence","issn_l":"1947-9344","issn":["1947-9344","1947-9352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Organizational and Collective Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4018/ijoci.2022010102","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104002518","display_name":"Kapil Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kapil Kumar","raw_affiliation_strings":["Guru Gobind Singh Indraprastha University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guru Gobind Singh Indraprastha University, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046946637","display_name":"Arvind Kumar","orcid":"https://orcid.org/0000-0002-3808-7338"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Kumar","raw_affiliation_strings":["Netaji Subhas University of Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netaji Subhas University of Technology, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535145","display_name":"Vimal Kumar","orcid":"https://orcid.org/0000-0002-3801-995X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vimal Kumar","raw_affiliation_strings":["MIET, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIET, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087847654","display_name":"S. Saravan Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil Kumar","raw_affiliation_strings":["MIET, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIET, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3038,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60938049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"12","issue":"1","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.829740583896637},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8042943477630615},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.766284704208374},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6887630820274353},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5277469754219055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4826003313064575},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4818497896194458},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4417306184768677},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4306317865848541},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42740488052368164},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42362335324287415},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4188652038574219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3687155544757843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07214996218681335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829740583896637},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8042943477630615},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.766284704208374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6887630820274353},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5277469754219055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4826003313064575},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4818497896194458},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4417306184768677},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4306317865848541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42740488052368164},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42362335324287415},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4188652038574219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3687155544757843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07214996218681335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijoci.2022010102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoci.2022010102","pdf_url":null,"source":{"id":"https://openalex.org/S199269040","display_name":"International Journal of Organizational and Collective Intelligence","issn_l":"1947-9344","issn":["1947-9344","1947-9352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Organizational and Collective Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/ijoci.2022010102","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoci.2022010102","pdf_url":null,"source":{"id":"https://openalex.org/S199269040","display_name":"International Journal of Organizational and Collective Intelligence","issn_l":"1947-9344","issn":["1947-9344","1947-9352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Organizational and Collective Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1996881001","https://openalex.org/W2015401767","https://openalex.org/W2083765161","https://openalex.org/W2275132005","https://openalex.org/W2431517476","https://openalex.org/W2532189199","https://openalex.org/W2584408238","https://openalex.org/W2620372684","https://openalex.org/W2754764339","https://openalex.org/W2790117078","https://openalex.org/W2791895608","https://openalex.org/W2840169530","https://openalex.org/W2886583834","https://openalex.org/W2890624031","https://openalex.org/W2947384205","https://openalex.org/W2962910311","https://openalex.org/W2980576170","https://openalex.org/W2990268365","https://openalex.org/W3001364574","https://openalex.org/W3001675796","https://openalex.org/W3001902713","https://openalex.org/W3014732532","https://openalex.org/W3033675321","https://openalex.org/W3114024232","https://openalex.org/W3130982961","https://openalex.org/W4235169531","https://openalex.org/W4237805297"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W1969219540","https://openalex.org/W2143413548","https://openalex.org/W2085633464","https://openalex.org/W1966122760"],"abstract_inverted_index":{"The":[0,79,113,137],"objective":[1],"of":[2,53,154],"this":[3],"paper":[4],"is":[5,39,57,87,104,115,146],"to":[6,15,42,67,72,89,97,109],"propose":[7,43],"and":[8,18,31,44,101,132],"develop":[9],"a":[10,35,40,46,69,74],"hybrid":[11,75,142],"intrusion":[12,76,129,134,143],"detection":[13,77,130,135,144],"system":[14,47,145],"handle":[16,50,98,110],"series":[17,58,111],"non-series":[19,99],"data":[20,54,92,100,123,148],"by":[21],"applying":[22],"the":[23,62,91,141,151,158],"two":[24,65],"different":[25],"concepts":[26,66],"that":[27,48,86,140],"are":[28],"named":[29],"clustering":[30,84],"autocorrelation":[32,107],"function":[33,108],"in":[34,117,161],"single":[36,118],"architecture.":[37],"There":[38],"need":[41],"build":[45],"can":[49],"both":[51,127],"types":[52],"whether":[55],"it":[56,121],"or":[59],"non-series.":[60],"Therefore,":[61],"authors":[63,80],"used":[64,88],"generate":[68],"robust":[70],"approach":[71,85,103,114],"craft":[73],"system.":[78],"utilize":[81],"an":[82],"unsupervised":[83],"categorize":[90],"based":[93,105,149],"on":[94,106,150],"domain":[95],"similarity":[96],"another":[102],"data.":[112],"consumed":[116],"architecture":[119],"where":[120],"carries":[122],"as":[124],"input":[125],"from":[126],"host-based":[128],"systems":[131],"network-based":[133],"systems.":[136],"result":[138],"shows":[139],"categorizing":[147],"optimal":[152],"number":[153],"clusters":[155],"obtained":[156],"through":[157],"elbow":[159],"method":[160],"clustering.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}