{"id":"https://openalex.org/W4310608956","doi":"https://doi.org/10.23919/cnsm55787.2022.9964533","title":"Assessing Unsupervised Machine Learning solutions for Anomaly Detection in Cloud Gaming Sessions","display_name":"Assessing Unsupervised Machine Learning solutions for Anomaly Detection in Cloud Gaming Sessions","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4310608956","doi":"https://doi.org/10.23919/cnsm55787.2022.9964533"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm55787.2022.9964533","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm55787.2022.9964533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},"type":"preprint","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/A5063735145","display_name":"Jo\u00ebl Roman Ky","orcid":"https://orcid.org/0000-0001-8228-6847"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210140143","display_name":"Dynamic Systems (United States)","ror":"https://ror.org/043vm9914","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140143"]}],"countries":["FR","US"],"is_corresponding":true,"raw_author_name":"Joel Roman Ky","raw_affiliation_strings":["Orange Innovation Lannion","Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems"],"affiliations":[{"raw_affiliation_string":"Orange Innovation Lannion","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems","institution_ids":["https://openalex.org/I4210140143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010916846","display_name":"Bertrand Mathieu","orcid":"https://orcid.org/0000-0003-4020-3761"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Mathieu","raw_affiliation_strings":["Orange Innovation Lannion"],"affiliations":[{"raw_affiliation_string":"Orange Innovation Lannion","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111932337","display_name":"Abdelkader Lahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210140143","display_name":"Dynamic Systems (United States)","ror":"https://ror.org/043vm9914","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140143"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Abdelkader Lahmadi","raw_affiliation_strings":["Université de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000","Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems"],"affiliations":[{"raw_affiliation_string":"Université de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590","https://openalex.org/I90183372"]},{"raw_affiliation_string":"Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems","institution_ids":["https://openalex.org/I4210140143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038723583","display_name":"Raouf Boutaba","orcid":"https://orcid.org/0000-0001-7936-6862"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raouf Boutaba","raw_affiliation_strings":["University of Waterloo,David R. Cheriton School of Computer Science"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,David R. Cheriton School of Computer Science","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063735145"],"corresponding_institution_ids":["https://openalex.org/I19370010","https://openalex.org/I4210140143"],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75655781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128081560134888},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.7731982469558716},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.733970582485199},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5713677406311035},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.55040442943573},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5355019569396973},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5180606842041016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4921828806400299},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4267624616622925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37223508954048157},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3208562135696411},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10334840416908264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128081560134888},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.7731982469558716},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.733970582485199},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5713677406311035},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.55040442943573},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5355019569396973},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5180606842041016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4921828806400299},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4267624616622925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37223508954048157},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3208562135696411},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10334840416908264},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/cnsm55787.2022.9964533","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm55787.2022.9964533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03884367v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03884367","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 18th International Conference on Network and Service Management (CNSM), Oct 2022, Thessaloniki, Greece. pp.367-373, ⟨10.23919/CNSM55787.2022.9964533⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1694165248","https://openalex.org/W1772688858","https://openalex.org/W1788497923","https://openalex.org/W1966716734","https://openalex.org/W2066443259","https://openalex.org/W2122646361","https://openalex.org/W2296719434","https://openalex.org/W2624096223","https://openalex.org/W2756489700","https://openalex.org/W2786088545","https://openalex.org/W2795815749","https://openalex.org/W2809684781","https://openalex.org/W2950361482","https://openalex.org/W2963166639","https://openalex.org/W2968889241","https://openalex.org/W3046905568","https://openalex.org/W3081497074","https://openalex.org/W3088298067","https://openalex.org/W3088526728","https://openalex.org/W3111373194","https://openalex.org/W3155567600","https://openalex.org/W3212387791","https://openalex.org/W4200055846","https://openalex.org/W4281639185","https://openalex.org/W4288046518","https://openalex.org/W6637388848","https://openalex.org/W6638163082","https://openalex.org/W6748102297","https://openalex.org/W6783797332"],"related_works":["https://openalex.org/W2154523322","https://openalex.org/W2083200807","https://openalex.org/W2364195017","https://openalex.org/W2049983405","https://openalex.org/W2355430452","https://openalex.org/W1603137082","https://openalex.org/W4285233543","https://openalex.org/W4220926404","https://openalex.org/W3123344745","https://openalex.org/W4230838436"],"abstract_inverted_index":{"Cloud":[0,98],"gaming":[1,54],"applications":[2],"have":[3],"gained":[4],"great":[5],"adoption":[6],"on":[7,93,116],"the":[8,13,94,112,140,155,161,164,168],"Internet":[9],"particularly":[10,63],"benefiting":[11],"from":[12,126],"wide":[14],"availability":[15],"of":[16,89,142],"broadband":[17],"access":[18],"networks.":[19],"However,":[20],"they":[21,66],"still":[22],"fail":[23],"to":[24,35,47,79,129,171],"meet":[25],"users\u2019":[26,52],"quality":[27],"requirements":[28],"when":[29],"accessed":[30],"using":[31,106],"cellular":[32],"networks":[33],"due":[34],"common":[36],"wireless":[37],"channel":[38],"degradations.":[39],"Machine":[40],"Learning":[41],"(ML)":[42],"techniques":[43],"can":[44],"be":[45],"leveraged":[46],"detect":[48],"such":[49],"anomalies":[50],"during":[51],"cloud":[53],"sessions.":[55],"In":[56,72],"this":[57,73],"respect,":[58],"unsupervised":[59],"ML":[60],"approaches":[61,78,128],"are":[62,104,167],"interesting":[64],"since":[65],"do":[67],"not":[68],"require":[69],"labeled":[70],"datasets.":[71,147],"work,":[74],"we":[75,133],"investigate":[76],"these":[77],"understand":[80],"their":[81,84,135,145],"performance":[82,137,157],"and":[83,132,163],"robustness.":[85],"Our":[86,148],"dataset":[87],"consists":[88],"game":[90,102],"sessions":[91,103],"played":[92,105],"public":[95],"Google":[96],"Stadia":[97],"Gaming":[99],"servers.":[100],"The":[101],"a":[107,117],"4G":[108,119],"network":[109],"emulation":[110],"replicating":[111],"capacity":[113],"variations":[114],"sampled":[115],"commercial":[118],"network.":[120],"We":[121],"compare":[122],"different":[123],"models":[124,153],"ranging":[125],"traditional":[127],"deep":[130],"learning":[131],"evaluate":[134],"default":[136],"while":[138,160],"varying":[139],"level":[141],"contamination":[143,159],"in":[144],"training":[146],"experiments":[149],"show":[150],"that":[151],"Auto-Encoders":[152],"achieve":[154],"best":[156],"without":[158],"OC-SVM":[162],"Isolation":[165],"Forest":[166],"most":[169],"robust":[170],"data":[172],"contamination.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}