{"id":"https://openalex.org/W2896339784","doi":"https://doi.org/10.1109/sera.2018.8477203","title":"Hybrid Intrusion Detection System Using K-Means and Classification and Regression Trees Algorithms","display_name":"Hybrid Intrusion Detection System Using K-Means and Classification and Regression Trees Algorithms","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2896339784","doi":"https://doi.org/10.1109/sera.2018.8477203","mag":"2896339784"},"language":"en","primary_location":{"id":"doi:10.1109/sera.2018.8477203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)","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/A5020043732","display_name":"Yi Yi Aung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Yi Yi Aung","raw_affiliation_strings":["University of Computer Studies, Mandalay, Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay, Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034546006","display_name":"Myat Myat Min","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Myat Myat Min","raw_affiliation_strings":["University of Computer Studies, Mandalay, Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay, Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020043732"],"corresponding_institution_ids":["https://openalex.org/I4210089821"],"apc_list":null,"apc_paid":null,"fwci":1.1072,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80738077,"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":"195","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.991100013256073,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8242990374565125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7933465242385864},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5702338814735413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5503069162368774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4979250431060791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4712403416633606},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43578264117240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3537296652793884}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8242990374565125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7933465242385864},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5702338814735413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5503069162368774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4979250431060791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4712403416633606},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43578264117240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3537296652793884},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera.2018.8477203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1970783000","https://openalex.org/W2128874290","https://openalex.org/W2149002604","https://openalex.org/W2182207358","https://openalex.org/W2271053476","https://openalex.org/W2341170143","https://openalex.org/W2741915815","https://openalex.org/W4220952924","https://openalex.org/W6642971551","https://openalex.org/W6679068145","https://openalex.org/W6685737820","https://openalex.org/W6704475261","https://openalex.org/W6742039041"],"related_works":["https://openalex.org/W2364419519","https://openalex.org/W2017948608","https://openalex.org/W2360767377","https://openalex.org/W2360951146","https://openalex.org/W3213683101","https://openalex.org/W3035095237","https://openalex.org/W3186233728","https://openalex.org/W4200459988","https://openalex.org/W4361733776","https://openalex.org/W4281776617"],"abstract_inverted_index":{"Intrusion":[0,130],"detection":[1,85,131],"is":[2,16,47,159,178],"the":[3,36,88,109,115],"process":[4],"called":[5,17],"indentifying":[6],"invasions.":[7],"The":[8,154],"action":[9],"to":[10,23,160],"enter":[11],"a":[12,137],"system":[13],"without":[14],"permission":[15],"intrusion.":[18],"By":[19],"adding":[20],"advanced":[21],"technologies":[22],"mobile":[24],"phones,":[25,29],"such":[26],"as":[27,136],"smart":[28,31],"tablets,":[30],"devices,":[32,35],"other":[33],"computing":[34],"number":[37],"of":[38,77,156],"Internet":[39,52,62],"users":[40],"are":[41,55,64,73,102,118],"increasingly":[42],"growing.":[43],"Therefore,":[44],"network":[45],"security":[46,58],"very":[48],"important":[49],"for":[50,57,69,91],"all":[51],"users.":[53],"IDS":[54],"essential":[56],"limits.":[59],"So,":[60],"now":[61],"consumers":[63],"considered":[65,135],"mandatory":[66],"safety":[67],"devices":[68],"critical":[70],"networks.":[71],"There":[72,117],"many":[74,119],"traditional":[75,83],"techniques":[76],"intrusion":[78,84],"detection.":[79],"In":[80,140],"research":[81,142],"on":[82,101],"technology":[86],"analysis,":[87],"statistical":[89],"model":[90,177],"setting":[92],"up":[93],"rules,":[94],"management":[95],"and":[96,99,106,128,147,149],"aggression":[97],"capability":[98],"so":[100],"still":[103],"some":[104],"disadvantages":[105],"disabilities,":[107],"because":[108],"actual":[110],"test":[111],"results":[112],"cannot":[113],"meet":[114],"requirements.":[116],"current":[120],"methods":[121],"used":[122],"in.":[123],"Each":[124],"method":[125],"has":[126],"advantage":[127],"disadvantage.":[129],"can":[132],"also":[133],"be":[134],"classification":[138,148],"problem.":[139],"this":[141,157],"we":[143],"use":[144],"K-means":[145],"algorithm":[146],"regression":[150],"trees":[151],"(CART)":[152],"algorithm.":[153],"purpose":[155],"paper":[158],"show":[161],"good":[162],"accuracy":[163],"in":[164],"performance":[165],"analysis":[166],"with":[167],"time":[168],"complexity":[169],"by":[170,180],"using":[171],"hybrid":[172],"data":[173,182],"mining":[174],"method.":[175],"This":[176],"verified":[179],"KDD'99":[181],"set.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}