{"id":"https://openalex.org/W4404740272","doi":"https://doi.org/10.1109/icbase63199.2024.10762742","title":"A Hybrid Model for Network Anomalies Classification Based on Improved Random Forest and Frequent Itemset Matching","display_name":"A Hybrid Model for Network Anomalies Classification Based on Improved Random Forest and Frequent Itemset Matching","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4404740272","doi":"https://doi.org/10.1109/icbase63199.2024.10762742"},"language":"en","primary_location":{"id":"doi:10.1109/icbase63199.2024.10762742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","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/A5101525703","display_name":"Rong Zeng","orcid":"https://orcid.org/0000-0002-3816-0945"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiyang Zeng","raw_affiliation_strings":["China University of Petroleum (East China),College of Oceanography and Space Informatics,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China),College of Oceanography and Space Informatics,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055653838","display_name":"Bing\u2010Hua Jiang","orcid":"https://orcid.org/0000-0003-4526-2031"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Jiang","raw_affiliation_strings":["China University of Petroleum (East China),College of Oceanography and Space Informatics,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China),College of Oceanography and Space Informatics,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101525703"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24099921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9962999820709229,"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":0.9962999820709229,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9779000282287598,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/random-forest","display_name":"Random forest","score":0.7141596674919128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6819056868553162},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6294025182723999},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5020818710327148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400326669216156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32259517908096313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1303039789199829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0883970856666565}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7141596674919128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6819056868553162},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6294025182723999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5020818710327148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400326669216156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32259517908096313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1303039789199829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0883970856666565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase63199.2024.10762742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2101819884","https://openalex.org/W2151933176","https://openalex.org/W2896412072","https://openalex.org/W3015964296","https://openalex.org/W3065802839","https://openalex.org/W3136597353","https://openalex.org/W3181315188","https://openalex.org/W4205346664","https://openalex.org/W4206910340","https://openalex.org/W4304820104","https://openalex.org/W4360604758","https://openalex.org/W4362694670","https://openalex.org/W4400808186"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,6,40,114,122],"advancement":[2],"of":[3,8,63,80,116],"network":[4,9,33,69,97],"technology,":[5],"methods":[7,45,119],"attacks":[10],"have":[11,26],"become":[12],"increasingly":[13],"diverse.":[14],"To":[15],"counter":[16],"these":[17,92],"threats,":[18],"traditional":[19],"machine":[20],"learning":[21,24],"and":[22,31,57,86,104],"deep":[23],"techniques":[25],"been":[27,60],"employed":[28],"to":[29,36,90],"detect":[30],"classify":[32],"traffic,":[34],"leading":[35],"significant":[37],"progress":[38],"in":[39,125],"field.":[41],"However,":[42],"single":[43,136],"classification":[44,118,130],"often":[46],"struggle":[47],"with":[48],"distinguishing":[49],"between":[50],"data":[51],"categories":[52],"that":[53,108],"share":[54],"similar":[55],"characteristics,":[56],"there":[58],"has":[59],"limited":[61],"exploration":[62],"hybrid":[64,77,110],"models":[65],"for":[66],"classifying":[67],"anomalous":[68,96],"traffic.":[70],"In":[71],"this":[72,109],"paper,":[73],"we":[74,106],"develop":[75],"a":[76,81],"model":[78,111],"composed":[79],"improved":[82],"Random":[83],"Forest":[84],"classifier":[85],"frequent":[87],"itemset":[88],"mining":[89],"address":[91],"challenges":[93],"by":[94,135],"studying":[95],"traffic":[98],"data.":[99],"Through":[100],"various":[101],"evaluation":[102],"metrics":[103],"experiments,":[105],"demonstrate":[107],"effectively":[112],"leverages":[113],"advantages":[115],"different":[117],"while":[120],"mitigating":[121],"confusion":[123],"inherent":[124],"single-model":[126],"classifications.":[127],"The":[128],"final":[129],"results":[131],"outperform":[132],"those":[133],"achieved":[134],"classifiers":[137],"without":[138],"hybridization.":[139]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}