{"id":"https://openalex.org/W2134641333","doi":"https://doi.org/10.1109/icpr.2002.1047476","title":"Parzen-window network intrusion detectors","display_name":"Parzen-window network intrusion detectors","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2134641333","doi":"https://doi.org/10.1109/icpr.2002.1047476","mag":"2134641333"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5081911954","display_name":"Dit-Yan Yeung","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Dit-Yan Yeung","raw_affiliation_strings":["Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, China","Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031586836","display_name":"Calvin Chow","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"C. Chow","raw_affiliation_strings":["Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, China","Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081911954"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":7.9467,"has_fulltext":false,"cited_by_count":249,"citation_normalized_percentile":{"value":0.97496562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"4","issue":null,"first_page":"385","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9868999719619751,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9804999828338623,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8268060088157654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404578328132629},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.6445813179016113},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5957817435264587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5677233934402466},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5503508448600769},{"id":"https://openalex.org/keywords/anomaly-based-intrusion-detection-system","display_name":"Anomaly-based intrusion detection system","score":0.5381494760513306},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5046831369400024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46635901927948},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.45036694407463074},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.415056049823761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38121914863586426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36490243673324585},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3126044273376465},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.2532258629798889},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08696073293685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08415251970291138}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8268060088157654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404578328132629},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.6445813179016113},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5957817435264587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5677233934402466},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5503508448600769},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.5381494760513306},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5046831369400024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46635901927948},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.45036694407463074},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.415056049823761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38121914863586426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36490243673324585},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3126044273376465},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.2532258629798889},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08696073293685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08415251970291138},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2002.1047476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.16.4437","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.icpr2002.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-2484","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-2484","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W91862604","https://openalex.org/W1503432700","https://openalex.org/W1516506771","https://openalex.org/W1971751469","https://openalex.org/W1971751574","https://openalex.org/W1999427165","https://openalex.org/W2001245517","https://openalex.org/W2068072527","https://openalex.org/W2096847629","https://openalex.org/W2117646649","https://openalex.org/W2118020555","https://openalex.org/W2118112548","https://openalex.org/W2123098109","https://openalex.org/W2123104473","https://openalex.org/W2150147654","https://openalex.org/W2150847526","https://openalex.org/W2165047624","https://openalex.org/W2171485106","https://openalex.org/W4240338048","https://openalex.org/W6603716672","https://openalex.org/W6630210095","https://openalex.org/W6674805939","https://openalex.org/W6682138790","https://openalex.org/W7026816754"],"related_works":["https://openalex.org/W2390910196","https://openalex.org/W2376519068","https://openalex.org/W1574751462","https://openalex.org/W2352085706","https://openalex.org/W2382249101","https://openalex.org/W2996671455","https://openalex.org/W2350994131","https://openalex.org/W2369954819","https://openalex.org/W2348490761","https://openalex.org/W2134641333"],"abstract_inverted_index":{"Network":[0],"intrusion":[1,16,25,32,73,120],"detection":[2,17,50,74],"is":[3,104],"the":[4,89,99],"problem":[5,46],"of":[6,109],"detecting":[7],"anomalous":[8],"network":[9],"connections":[10],"caused":[11],"by":[12],"intrusive":[13],"activities.":[14],"Many":[15],"systems":[18],"proposed":[19],"before":[20],"use":[21],"both":[22],"normal":[23,77,127],"and":[24,37,124],"data":[26,33,78,121,128],"to":[27,39,43,56,70],"build":[28,71],"their":[29],"classifiers.":[30],"However,":[31],"are":[34],"usually":[35],"scarce":[36],"difficult":[38],"collect.":[40],"We":[41],"propose":[42,55],"solve":[44],"this":[45],"using":[47,76],"a":[48,58],"novelty":[49],"approach.":[51],"In":[52],"particular,":[53],"we":[54,83],"take":[57],"nonparametric":[59],"density":[60],"estimation":[61],"approach":[62],"based":[63,105],"on":[64,88,106],"Parzen-window":[65],"estimators":[66],"with":[67,98,112],"Gaussian":[68],"kernels":[69],"an":[72,107],"system":[75,87,95,117],"only.":[79],"To":[80],"facilitate":[81],"comparison,":[82],"have":[84],"tested":[85],"our":[86,116],"KDD":[90,100],"Cup":[91,101],"1999":[92],"dataset.":[93],"Our":[94],"compares":[96],"favorably":[97],"winner":[102],"which":[103],"ensemble":[108],"decision":[110],"trees":[111],"bagged":[113],"boosting,":[114],"as":[115],"uses":[118],"no":[119],"at":[122],"all":[123],"much":[125],"less":[126],"for":[129],"training.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":17}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
