{"id":"https://openalex.org/W4400276352","doi":"https://doi.org/10.1109/wcnc57260.2024.10571194","title":"Runtime Anomaly Detection for MEC Services with Multi-Timescale and Dimensional Feature","display_name":"Runtime Anomaly Detection for MEC Services with Multi-Timescale and Dimensional Feature","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276352","doi":"https://doi.org/10.1109/wcnc57260.2024.10571194"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10571194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10571194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5115444775","display_name":"Qian Yang","orcid":"https://orcid.org/0000-0003-0642-2872"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Yang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911274","display_name":"Hongjia Li","orcid":"https://orcid.org/0000-0001-7016-421X"},"institutions":[{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjia Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437976","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0002-5624-2987"},"institutions":[{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017932967","display_name":"Jiankai Wang","orcid":"https://orcid.org/0009-0009-8477-4081"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankai Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058722770","display_name":"Liming Wang","orcid":"https://orcid.org/0000-0002-5562-8386"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100928485","display_name":"Zhen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Xu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China,100093","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5115444775"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0969098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9979000091552734,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9973000288009644,"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":0.7335751056671143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6282316446304321},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6073193550109863},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4848845899105072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3605497479438782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3422219753265381},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1295166015625}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7335751056671143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282316446304321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6073193550109863},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4848845899105072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3605497479438782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3422219753265381},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1295166015625},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10571194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10571194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2000982976","https://openalex.org/W2088563154","https://openalex.org/W2105510466","https://openalex.org/W2889098690","https://openalex.org/W3006813586","https://openalex.org/W3095970110","https://openalex.org/W3132424959","https://openalex.org/W3133659420","https://openalex.org/W3172155345","https://openalex.org/W3212463886","https://openalex.org/W4285248393","https://openalex.org/W4312788245","https://openalex.org/W4319777593","https://openalex.org/W4361029831","https://openalex.org/W4383333753","https://openalex.org/W6773686575"],"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/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Mobile":[0],"Edge":[1],"Computing":[2],"(MEC)":[3],"has":[4],"emerged":[5],"as":[6],"a":[7,101,132],"distributed":[8,18],"computing":[9,97],"paradigm":[10],"offering":[11],"low-latency":[12],"services":[13,41],"to":[14,26,46,53,94,107,118],"users.":[15],"However,":[16],"the":[17,28,36,48,55,76,96,120,136,140,144],"and":[19,58,71,82,88,111,135,151],"intricate":[20],"deployment":[21],"inevitably":[22],"makes":[23],"it":[24],"challenge":[25],"ensure":[27],"reliability":[29],"of":[30,39,149],"MEC":[31,40,66],"services.":[32],"Anomaly":[33],"detection":[34,56],"using":[35],"streaming":[37,125],"data":[38],"is":[42],"an":[43,62,114],"essential":[44],"way":[45],"address":[47],"challenge.":[49],"In":[50,91],"this":[51,92],"paper,":[52],"improve":[54],"accuracy":[57,150],"efficiency,":[59],"we":[60,99,112],"propose":[61],"MTDF-Detection":[63,141],"framework":[64,142],"for":[65],"services,":[67],"jointly":[68],"extracting":[69],"Multi-Timescale":[70],"Dimensional":[72],"Feature":[73],"(MTDF),":[74],"including":[75],"long-term":[77],"trend,":[78],"periodic,":[79],"short-term":[80],"fluctuation":[81],"auxiliary":[83],"parameters":[84],"(e.g.,":[85],"system":[86],"maintenance":[87],"offloading":[89],"task).":[90],"framework,":[93],"reduce":[95],"costs,":[98],"adopt":[100],"Bidirectional":[102],"Simple":[103],"Recurrent":[104],"Unit":[105],"(Bi-SRU)":[106],"obtain":[108],"contextual":[109],"feature;":[110],"design":[113],"adaptive":[115],"m-Sigma":[116],"algorithm":[117],"determine":[119],"dynamic":[121],"threshold":[122],"with":[123],"real-time":[124],"data.":[126],"Extensive":[127],"experiments":[128],"are":[129],"conducted":[130],"on":[131],"real-world":[133],"dataset,":[134],"results":[137],"demonstrate":[138],"that":[139],"outperforms":[143],"state-of-the-art":[145],"schemes":[146],"in":[147],"terms":[148],"efficiency.":[152]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
