{"id":"https://openalex.org/W2135130293","doi":"https://doi.org/10.1109/icsmc.2009.5346248","title":"Finding abnormal events in home sensor network environment using correlation graph","display_name":"Finding abnormal events in home sensor network environment using correlation graph","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2135130293","doi":"https://doi.org/10.1109/icsmc.2009.5346248","mag":"2135130293"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5084114788","display_name":"Huey-Ming Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huey-Ming Lee","raw_affiliation_strings":["Department of Information Management, Chinese Cultural University, Taipei, Taiwan","Dept. of Information Management, Chinese Culture University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chinese Cultural University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]},{"raw_affiliation_string":"Dept. of Information Management, Chinese Culture University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020533893","display_name":"Ching-Hao Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hao Mao","raw_affiliation_strings":["Department of Information Management, Chinese Cultural University, Taipei, Taiwan","Dept. of Information Management, Chinese Culture University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chinese Cultural University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]},{"raw_affiliation_string":"Dept. of Information Management, Chinese Culture University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4593,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69480679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"a247","issue":null,"first_page":"1852","last_page":"1856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9968000054359436,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.726152777671814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717241108417511},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6881754398345947},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5724102258682251},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5004696846008301},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4721177816390991},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4685336649417877},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43163707852363586},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4013628363609314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.318579763174057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19632062315940857},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15176686644554138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09189167618751526}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.726152777671814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717241108417511},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6881754398345947},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5724102258682251},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5004696846008301},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4721177816390991},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4685336649417877},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43163707852363586},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4013628363609314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.318579763174057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19632062315940857},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15176686644554138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09189167618751526},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1544329015","https://openalex.org/W1591163477","https://openalex.org/W1608100603","https://openalex.org/W1659458427","https://openalex.org/W1964468250","https://openalex.org/W1967526067","https://openalex.org/W2002494938","https://openalex.org/W2022408418","https://openalex.org/W2060422862","https://openalex.org/W2071043548","https://openalex.org/W2076978869","https://openalex.org/W2097193094","https://openalex.org/W2111184007","https://openalex.org/W2129880717","https://openalex.org/W2131683518","https://openalex.org/W2142183404","https://openalex.org/W2159701103","https://openalex.org/W2338717024","https://openalex.org/W3214074647","https://openalex.org/W4236065546","https://openalex.org/W4301173492"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,69],"in":[2,144],"sensor":[3,44,58,76,102,135,145],"network":[4,59,103,136],"seems":[5],"a":[6],"challenge":[7],"when":[8],"encountering":[9],"the":[10,13,26,30,40,50,89,97,112],"limitation":[11],"of":[12,75],"energy":[14],"requirement":[15],"and":[16,24,148],"dynamics":[17],"environments.":[18],"It":[19],"is":[20,46,94,117],"to":[21,38,48,119],"rapidly":[22,79],"analyze":[23],"identify":[25,96],"abnormal":[27,60,81,98,149],"events":[28,41,109,146],"among":[29],"extreme":[31],"volume":[32],"data.":[33],"Using":[34],"correlation":[35,73],"graph":[36],"representation":[37],"correlate":[39],"generated":[42],"by":[43],"networks":[45,77],"capable":[47],"find":[49],"intentional":[51],"dependency":[52],"behavior's":[53],"insight":[54],"for":[55,78,110,126],"detecting":[56],"home":[57,82,101],"events.":[61,83],"In":[62],"this":[63],"study,":[64],"we":[65],"proposed":[66,85,140],"an":[67],"anomaly":[68],"mechanism":[70,86,141],"based":[71],"on":[72,121],"graphs":[74],"identifying":[80],"The":[84,128,139],"which":[87],"makes":[88],"following":[90],"contributions:":[91],"(a)":[92],"it":[93,106,116],"automatically":[95],"event":[99,150],"under":[100],"environment":[104],"(b)":[105],"eliminates":[107],"irrelevant":[108],"saving":[111],"computation":[113],"power":[114],"(c)":[115],"easily":[118],"apply":[120],"different":[122],"machine":[123],"learning":[124],"classifiers":[125],"enhancement.":[127],"evaluation":[129],"from":[130],"Intel":[131],"Berkeley":[132],"Research":[133],"lab":[134],"data":[137],"set.":[138],"performs":[142],"well":[143],"elimination":[147],"detection.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}