{"id":"https://openalex.org/W2026547913","doi":"https://doi.org/10.1109/icnsc.2008.4525415","title":"Network Anomaly Detection Using RBF Neural Network with Hybrid QPSO","display_name":"Network Anomaly Detection Using RBF Neural Network with Hybrid QPSO","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2026547913","doi":"https://doi.org/10.1109/icnsc.2008.4525415","mag":"2026547913"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2008.4525415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2008.4525415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Networking, Sensing and Control","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036789442","display_name":"Ruhui Ma","orcid":"https://orcid.org/0000-0001-9592-8490"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruhui Ma","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","Jiangnan Univ., Wuxi#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangnan Univ., Wuxi#TAB#","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069339294","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0002-2578-0707"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: lyuan1800@sina.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: lyuan1800@sina.com","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101150605","display_name":"Lin Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Lin","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: wytxz_pt@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: wytxz_pt@163.com","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654825","display_name":"Zhang Wang","orcid":"https://orcid.org/0000-0003-1278-8950"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Wang","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: mike_wang@126.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Information Technology, Jiangnan University, No.1800, Lihudadao Road, Wuxi, 214122, Jiangsu, China. e-mail: mike_wang@126.com","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1284","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9976000189781189,"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":0.9976000189781189,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7783442735671997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6289254426956177},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6133744716644287},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5911808013916016},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5896245241165161},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5569635033607483},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5203113555908203},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.5115786194801331},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4829789698123932},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.45798105001449585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4388732612133026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3772159814834595},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.0923546850681305}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7783442735671997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289254426956177},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6133744716644287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5911808013916016},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5896245241165161},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5569635033607483},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5203113555908203},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.5115786194801331},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4829789698123932},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.45798105001449585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4388732612133026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3772159814834595},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0923546850681305},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2008.4525415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2008.4525415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Networking, Sensing and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1492996112","https://openalex.org/W1566399673","https://openalex.org/W1572326640","https://openalex.org/W1820051232","https://openalex.org/W1991848143","https://openalex.org/W2132775137","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2168993425","https://openalex.org/W2169245194","https://openalex.org/W6679825651"],"related_works":["https://openalex.org/W2358550275","https://openalex.org/W1998698147","https://openalex.org/W1489050811","https://openalex.org/W2885402007","https://openalex.org/W2462012542","https://openalex.org/W2017367351","https://openalex.org/W2386561004","https://openalex.org/W2086013087","https://openalex.org/W2128886773","https://openalex.org/W2026547913"],"abstract_inverted_index":{"A":[0],"novel":[1,103],"hybrid":[2,55,73,104],"algorithm":[3,29,56,83,105],"based":[4,70],"radial":[5],"basis":[6],"function":[7],"(RBF)":[8],"neural":[9,60],"network":[10,14,61],"is":[11,69,85],"proposed":[12],"for":[13],"anomaly":[15],"detection":[16,95,108],"in":[17,57],"this":[18,99],"paper.":[19],"The":[20],"quantum-behaved":[21,75],"particle":[22,76],"swarm":[23,77],"optimization,":[24],"which":[25,68],"outperforms":[26],"other":[27],"optimization":[28,78],"considerably":[30],"on":[31,71,92],"its":[32,50],"simple":[33],"architecture":[34],"and":[35,80],"fast":[36],"convergence,":[37],"has":[38,49,106],"previously":[39],"applied":[40],"to":[41,87],"solve":[42],"optimum":[43],"problem.":[44],"However,":[45],"the":[46,102],"QPSO":[47],"also":[48],"own":[51],"shortcomings.":[52],"So,":[53],"a":[54,72,112],"training":[58],"RBF":[59],"was":[62],"proposed.":[63],"This":[64],"new":[65],"evolutionary":[66],"algorithm,":[67],"of":[74],"(QPSO)":[79],"gradient":[81],"descent":[82],"(GD),":[84],"employed":[86],"train":[88],"RBFNN.":[89],"Experimental":[90],"result":[91],"KDD99":[93],"intrusion":[94],"datasets":[96],"shows":[97],"that":[98],"RBFNN":[100],"using":[101],"high":[107],"rate":[109],"while":[110],"maintaining":[111],"low":[113],"false":[114],"positive":[115],"rate.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
