{"id":"https://openalex.org/W4389077408","doi":"https://doi.org/10.23919/cnsm59352.2023.10327845","title":"Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System","display_name":"Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4389077408","doi":"https://doi.org/10.23919/cnsm59352.2023.10327845"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm59352.2023.10327845","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","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/A5001342072","display_name":"Yoichi Matsuo","orcid":"https://orcid.org/0009-0003-6705-7829"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoichi Matsuo","raw_affiliation_strings":["NTT Corporation,NTT Network Service Systems Laboratories,Tokyo,Japan,180-8585"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Service Systems Laboratories,Tokyo,Japan,180-8585","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001342072"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52880466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9998999834060669,"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":0.9997000098228455,"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":0.7794928550720215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7784732580184937},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6258899569511414},{"id":"https://openalex.org/keywords/information-and-communications-technology","display_name":"Information and Communications Technology","score":0.6135181188583374},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4914170503616333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45246315002441406},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4118221700191498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34769177436828613},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14779388904571533},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09085938334465027}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7794928550720215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784732580184937},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6258899569511414},{"id":"https://openalex.org/C67363961","wikidata":"https://www.wikidata.org/wiki/Q5268834","display_name":"Information and Communications Technology","level":2,"score":0.6135181188583374},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4914170503616333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45246315002441406},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4118221700191498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34769177436828613},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14779388904571533},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09085938334465027},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm59352.2023.10327845","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","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":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W2099940443","https://openalex.org/W2127979711","https://openalex.org/W2144182447","https://openalex.org/W2296719434","https://openalex.org/W2736937187","https://openalex.org/W2767094836","https://openalex.org/W2789828921","https://openalex.org/W2962736999","https://openalex.org/W2965838158","https://openalex.org/W3009136487","https://openalex.org/W3016005719","https://openalex.org/W3023685424","https://openalex.org/W3071416990","https://openalex.org/W3081497074","https://openalex.org/W3127712067","https://openalex.org/W3128634608","https://openalex.org/W3152601077","https://openalex.org/W4295308149","https://openalex.org/W4324116635","https://openalex.org/W4362682076","https://openalex.org/W4375869000","https://openalex.org/W4381744905","https://openalex.org/W4381744972","https://openalex.org/W4381745138","https://openalex.org/W4385245566","https://openalex.org/W6637618735","https://openalex.org/W6640963894","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Many":[0],"unsupervised":[1],"anomaly":[2,177],"detection":[3,178],"(UAD)":[4],"methods":[5,74],"for":[6,185],"ICT":[7,38,131,144,187],"systems":[8,39],"that":[9,165],"use":[10],"only":[11],"normal":[12,34,60,65,86,104,151],"data":[13,61,80,184],"collected":[14],"from":[15,128],"routers":[16],"or":[17,45],"servers,":[18],"such":[19],"as":[20],"traffic":[21],"volumes":[22],"and":[23,51,83,161,190],"text":[24],"logs,":[25],"have":[26],"been":[27],"developed":[28],"to":[29,42,57,62,139,172],"detect":[30],"anomalies.":[31],"Since":[32],"the":[33,37,43,94,100,110,166,170,174,186],"states":[35,66],"of":[36,47,93,102,109,117,150,176,183],"change":[40],"due":[41],"addition":[44],"deletion":[46],"devices,":[48],"configuration":[49],"changes,":[50],"OS":[52],"updates,":[53],"system":[54,145,188],"operators":[55],"need":[56],"collect":[58],"enough":[59],"learn":[63],"various":[64],"whenever":[67],"there":[68],"is":[69,81,88],"a":[70,84,136,147,180],"change.":[71],"Therefore,":[72],"UAD":[73,129,141],"cannot":[75],"be":[76],"applied":[77],"until":[78],"new":[79,85],"gathered":[82],"state":[87,105],"identified.":[89],"Using":[90],"fine-tuning,":[91],"one":[92],"transfer":[95],"learning":[96],"techniques":[97],"might":[98],"reduce":[99],"duration":[101],"collecting":[103],"data.":[106,152],"However,":[107],"most":[108],"existing":[111],"papers":[112],"focus":[113],"on":[114,120],"transferring":[115],"knowledge":[116],"supervised":[118],"models":[119],"image":[121],"classification":[122],"tasks,":[123],"which":[124],"are":[125],"completely":[126],"different":[127],"in":[130,142],"systems.":[132],"This":[133],"paper":[134],"analyzes":[135],"fine-tuning":[137,167],"architecture":[138,168],"improve":[140,173],"an":[143],"with":[146,179],"small":[148,181],"amount":[149,182],"By":[153],"preparing":[154],"five":[155],"datasets,":[156],"comprehensive":[157],"experiments":[158],"were":[159],"conducted,":[160],"it":[162],"was":[163],"found":[164],"has":[169],"possibility":[171],"accuracy":[175],"dataset":[189],"scenarios.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
