{"id":"https://openalex.org/W3097808666","doi":"https://doi.org/10.1145/3421766.3421811","title":"Network Anomaly Traffic Classification and Optimization Based on PSO-SVM","display_name":"Network Anomaly Traffic Classification and Optimization Based on PSO-SVM","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3097808666","doi":"https://doi.org/10.1145/3421766.3421811","mag":"3097808666"},"language":"en","primary_location":{"id":"doi:10.1145/3421766.3421811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","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/A5101462938","display_name":"Jianhua Z. Huang","orcid":"https://orcid.org/0000-0002-7735-3002"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Huang","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou City, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou City, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110365879","display_name":"Jianhe Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhe Zhou","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou City, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou City, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407554","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0001-5467-034X"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou City, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou City, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034928164","display_name":"Quanliang wang","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanliang wang","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou City, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou City, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056881797","display_name":"Yong Peng","orcid":"https://orcid.org/0000-0003-1208-972X"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Peng","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou City, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou City, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101462938"],"corresponding_institution_ids":["https://openalex.org/I18570673"],"apc_list":null,"apc_paid":null,"fwci":0.1542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53571908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9988999962806702,"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/support-vector-machine","display_name":"Support vector machine","score":0.7657372951507568},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7525801658630371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629434823989868},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5771581530570984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540270209312439},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5362038016319275},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4906395971775055},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4743201434612274},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.448588103055954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4410237967967987},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4353833496570587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37914353609085083},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.37111347913742065},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32040688395500183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16729864478111267}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7657372951507568},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7525801658630371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629434823989868},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5771581530570984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540270209312439},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5362038016319275},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4906395971775055},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4743201434612274},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.448588103055954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410237967967987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4353833496570587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37914353609085083},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.37111347913742065},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32040688395500183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16729864478111267},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421766.3421811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","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":6,"referenced_works":["https://openalex.org/W2000114330","https://openalex.org/W2012879582","https://openalex.org/W2112875087","https://openalex.org/W2130424474","https://openalex.org/W2133294820","https://openalex.org/W2156138059"],"related_works":["https://openalex.org/W3134384462","https://openalex.org/W2125094050","https://openalex.org/W2106492215","https://openalex.org/W2540137049","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2164831575","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W2094658154"],"abstract_inverted_index":{"A":[0],"network":[1,119],"traffic":[2,21,40,120,135],"classification":[3,22,41,121,136,142],"model":[4,26,58,65,122],"and":[5,23,53,64,67,90,106,123,137],"optimization":[6,73,95,124],"method":[7,125],"based":[8,126],"on":[9,32,74,127],"PSO-SVM":[10,128],"is":[11,55],"proposed":[12,129],"in":[13,27,130],"this":[14,131],"paper":[15,132],"to":[16,59,101],"solve":[17],"the":[18,33,38,44,61,75,81,103,108,118,139],"difficulties":[19],"of":[20,35,78,93,111,141],"its":[24],"low-performance":[25],"intrusion":[28],"detection":[29],"system.":[30],"Based":[31],"expansion":[34],"SVM":[36,79],"from":[37],"two-category":[39],"structure":[42],"into":[43],"five-category":[45],"structure,":[46],"a":[47],"hybrid":[48],"kernel":[49],"function":[50],"combining":[51],"Poly":[52],"RBF":[54],"constructed":[56],"by":[57,85],"ensure":[60],"generalization":[62],"ability":[63,110],"learning;":[66],"then":[68],"after":[69],"conducting":[70],"particle":[71],"swarm":[72],"various":[76],"parameters":[77],"model,":[80],"search":[82],"spaces":[83],"tablished":[84],"nonlinear":[86],"inertia":[87],"weight":[88],"coefficient":[89],"learning":[91],"factor":[92],"asynchronous":[94],"are":[96],"conducted":[97],"with":[98],"fitness":[99],"evaluation":[100],"achieve":[102,134],"optimal":[104],"solution":[105],"enhance":[107],"convergence":[109],"algorithm.":[112],"The":[113],"experimental":[114],"results":[115],"show":[116],"that":[117],"can":[133],"improve":[138],"performance":[140],"model.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
