{"id":"https://openalex.org/W2122277321","doi":"https://doi.org/10.1109/iccsit.2010.5564569","title":"Network intrusion detection method by least squares support vector machine classifier","display_name":"Network intrusion detection method by least squares support vector machine classifier","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2122277321","doi":"https://doi.org/10.1109/iccsit.2010.5564569","mag":"2122277321"},"language":"en","primary_location":{"id":"doi:10.1109/iccsit.2010.5564569","doi":"https://doi.org/10.1109/iccsit.2010.5564569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsit.2010.5564569","pdf_url":null,"source":{"id":"https://openalex.org/S4306418665","display_name":"IEEE International Conference on Computer Science and Information Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 3rd International Conference on Computer Science and Information Technology","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5103549857","display_name":"Lin Li Zhong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Li Zhong","raw_affiliation_strings":["ShiJiaZhuang College, ShiJiaZhuang, China","ShiJiaZhuang College, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShiJiaZhuang College, ShiJiaZhuang, China","institution_ids":[]},{"raw_affiliation_string":"ShiJiaZhuang College, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021904804","display_name":"Zhang Ya Ming","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405281774","display_name":"Shijiazhuang Information Engineering Vocational College","ror":"https://ror.org/04w3zab70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405281774"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Ya Ming","raw_affiliation_strings":["Shijiazhuang Mechanical Engineering College, ShiJiaZhuang, China","ShiJiaZhuang Information, Engineering Vocational College, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shijiazhuang Mechanical Engineering College, ShiJiaZhuang, China","institution_ids":[]},{"raw_affiliation_string":"ShiJiaZhuang Information, Engineering Vocational College, China","institution_ids":["https://openalex.org/I4405281774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100717260","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-7736-6866","observed_orcids":["https://orcid.org/0000-0002-7736-6866"]},"institutions":[{"id":"https://openalex.org/I4405281679","display_name":"Hebei Vocational Art College","ror":"https://ror.org/04qbt7753","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405281679"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yu Bin","raw_affiliation_strings":["HeBei Vocational Art College, ShiJiaZhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeBei Vocational Art College, ShiJiaZhuang, China","institution_ids":["https://openalex.org/I4405281679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7869,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.63520312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9951000213623047,"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":0.9951000213623047,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.0024999999441206455,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.00039999998989515007,"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/network-intrusion-detection","display_name":"network intrusion detection","score":1.0},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"least squares support vector machine","score":1.0},{"id":"https://openalex.org/keywords/kdd99-dataset","display_name":"KDD Cup 1999 dataset","score":0.8059999942779541},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7059999704360962},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8569999933242798},{"id":"https://openalex.org/keywords/classification-performance","display_name":"classification performance","score":0.41200000047683716},{"id":"https://openalex.org/keywords/convex-quadratic-programming","display_name":"convex quadratic programming","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9110134243965149},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.863357424736023},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.7950847148895264},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.7491213083267212},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.6958719491958618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589065790176392},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6385066509246826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384615302085876},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5951715707778931},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5941868424415588},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5495792627334595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5222269296646118},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.49421170353889465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48392730951309204},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.45688799023628235},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4370039999485016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33331120014190674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17583376169204712},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.125821053981781},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsit.2010.5564569","doi":"https://doi.org/10.1109/iccsit.2010.5564569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsit.2010.5564569","pdf_url":null,"source":{"id":"https://openalex.org/S4306418665","display_name":"IEEE International Conference on Computer Science and Information Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 3rd International Conference on Computer Science and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2014294307","https://openalex.org/W2018585293","https://openalex.org/W2025980594","https://openalex.org/W2032336722","https://openalex.org/W2056076127"],"related_works":["https://openalex.org/W2388665039","https://openalex.org/W1983437126","https://openalex.org/W2379993480","https://openalex.org/W2369110994","https://openalex.org/W2387793518","https://openalex.org/W2369888081","https://openalex.org/W2362699238","https://openalex.org/W2379078169","https://openalex.org/W2373548268","https://openalex.org/W2386647660"],"abstract_inverted_index":{"Network":[0],"is":[1,15,37],"more":[2,4],"and":[3],"popular":[5],"in":[6,74],"the":[7,54,71,75],"present":[8],"society.":[9],"Least":[10,32],"squares":[11,33],"support":[12,19,34,89],"vector":[13,20,35,61,90],"machine":[14,21,36],"a":[16,27],"kind":[17],"modified":[18],"for":[22],"classification,":[23],"which":[24],"can":[25],"solve":[26],"convex":[28],"quadratic":[29],"programming":[30],"problem.":[31],"presented":[38],"to":[39,52,68],"network":[40,65],"intrusion":[41],"detection.":[42],"We":[43],"apply":[44],"KDDCUP99":[45],"experimental":[46,78],"data":[47],"of":[48,57],"MIT":[49],"Lincoln":[50],"Laboratory":[51],"research":[53],"classification":[55],"performance":[56],"LS-SVM":[58,81],"classifier.":[59],"Support":[60],"machine,":[62,91],"BP":[63,92],"neural":[64,93],"are":[66],"used":[67],"compare":[69],"with":[70],"proposed":[72],"method":[73,83],"paper.":[76],"The":[77],"indicates":[79],"that":[80],"detection":[82,86],"has":[84],"higher":[85],"accuracy":[87],"than":[88],"network.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}