{"id":"https://openalex.org/W4205562875","doi":"https://doi.org/10.1007/978-981-16-9229-1_5","title":"Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey","display_name":"Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205562875","doi":"https://doi.org/10.1007/978-981-16-9229-1_5"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-16-9229-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-16-9229-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-16-9229-1_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-981-16-9229-1_5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100325083","display_name":"Zhipeng Chen","orcid":"https://orcid.org/0000-0002-7546-6740"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Chen","raw_affiliation_strings":["National Internet Emergency Center, CNCERT/CC, Beijing, 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Internet Emergency Center, CNCERT/CC, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103671347","display_name":"Zhang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Peng","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100864, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100864, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017505742","display_name":"Xueqiang Zou","orcid":"https://orcid.org/0000-0001-7182-2827"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiang Zou","raw_affiliation_strings":["National Internet Emergency Center, CNCERT/CC, Beijing, 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Internet Emergency Center, CNCERT/CC, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039407625","display_name":"Haoqi Sun","orcid":"https://orcid.org/0000-0002-5041-8312"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqi Sun","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100864, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100864, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9952999949455261,"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/anomaly-detection","display_name":"Anomaly detection","score":0.89201819896698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316896319389343},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6995178461074829},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6326851844787598},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5771488547325134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299139022827148},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4992988109588623},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48733219504356384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4773060083389282},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45754262804985046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41850101947784424},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41197121143341064},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08319202065467834}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.89201819896698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316896319389343},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6995178461074829},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6326851844787598},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5771488547325134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299139022827148},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4992988109588623},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48733219504356384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4773060083389282},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45754262804985046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41850101947784424},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41197121143341064},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08319202065467834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-16-9229-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-16-9229-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-16-9229-1_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-16-9229-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-16-9229-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-16-9229-1_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205562875.pdf","grobid_xml":"https://content.openalex.org/works/W4205562875.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1740377143","https://openalex.org/W1973965874","https://openalex.org/W1980931819","https://openalex.org/W1990995083","https://openalex.org/W2025768430","https://openalex.org/W2026453187","https://openalex.org/W2064675550","https://openalex.org/W2078626246","https://openalex.org/W2093606067","https://openalex.org/W2095727900","https://openalex.org/W2121511513","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2129281431","https://openalex.org/W2157331557","https://openalex.org/W2163922914","https://openalex.org/W2186910770","https://openalex.org/W2289235530","https://openalex.org/W2296719434","https://openalex.org/W2535642622","https://openalex.org/W2561208905","https://openalex.org/W2564960719","https://openalex.org/W2566615221","https://openalex.org/W2567172578","https://openalex.org/W2572939427","https://openalex.org/W2594434602","https://openalex.org/W2613328025","https://openalex.org/W2620661538","https://openalex.org/W2733875649","https://openalex.org/W2753802340","https://openalex.org/W2769919275","https://openalex.org/W2780476542","https://openalex.org/W2785362611","https://openalex.org/W2786827964","https://openalex.org/W2790057819","https://openalex.org/W2797405679","https://openalex.org/W2804841412","https://openalex.org/W2810084952","https://openalex.org/W2833324965","https://openalex.org/W2887731362","https://openalex.org/W2888026659","https://openalex.org/W2906498146","https://openalex.org/W2906700866","https://openalex.org/W2911200746","https://openalex.org/W2912126994","https://openalex.org/W2919841582","https://openalex.org/W2946491813","https://openalex.org/W2962736999","https://openalex.org/W2963166639","https://openalex.org/W2963248736","https://openalex.org/W2964284952","https://openalex.org/W2965981069","https://openalex.org/W3020543937","https://openalex.org/W3081229243","https://openalex.org/W3098957257","https://openalex.org/W3106312933","https://openalex.org/W3106543020","https://openalex.org/W4241492760","https://openalex.org/W4247378692","https://openalex.org/W4256177618","https://openalex.org/W6600100092"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Abstract":[0],"Multi-dimensional":[1],"time":[2,38,54,107,129],"series":[3,55,108,130],"are":[4,14,138,157,166],"multiple":[5],"sets":[6],"of":[7,17,124,162],"variables":[8],"collected":[9],"in":[10,43],"chronological":[11],"order,":[12],"which":[13],"the":[15,32,90,122,132,143,160,163,169],"results":[16],"observing":[18],"a":[19,25],"certain":[20],"potential":[21],"process":[22],"according":[23],"to":[24,34,79,98,101,110],"given":[26],"sampling":[27],"rate.":[28],"It":[29],"also":[30],"has":[31],"ability":[33],"describe":[35],"space":[36],"and":[37,39,62,74,114,131,141,152,155,168],"is":[40,147,173],"widely":[41],"used":[42],"many":[44],"fields":[45],"such":[46,58,71],"as":[47,59,65,67,72],"system":[48],"state":[49],"anomaly":[50,81,102,125],"detection.":[51],"However,":[52],"multi-dimensional":[53,106,128],"have":[56],"problems":[57],"dimensional":[60],"explosion":[61],"data":[63,92],"sparseness,":[64],"well":[66],"complex":[68],"pattern":[69],"features":[70],"periods":[73],"trends.":[75],"Such":[76],"characteristics":[77],"lead":[78],"rule-based":[80],"detection":[82,87,103,126],"methods":[83,137],"suffer":[84],"from":[85],"poor":[86],"effects.":[88],"In":[89],"big":[91],"scenario,":[93],"deep":[94,144],"learning":[95,116],"method":[96,146],"begins":[97],"be":[99],"applied":[100],"tasks":[104],"for":[105,127],"due":[109],"its":[111,153],"wide":[112],"coverage":[113],"strong":[115],"ability.":[117],"This":[118],"work":[119,151],"first":[120],"summarizes":[121],"definitions":[123],"challenges":[133],"it":[134],"faces.":[135],"Related":[136],"sorted":[139],"out,":[140],"then":[142],"learning-based":[145],"emphasized.":[148],"The":[149],"existing":[150,164],"advantages":[154],"disadvantages":[156],"summarized.":[158],"Finally,":[159],"shortcomings":[161],"algorithms":[165],"clarified":[167],"future":[170],"research":[171],"direction":[172],"explored.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}