{"id":"https://openalex.org/W4412446278","doi":"https://doi.org/10.1109/noms57970.2025.11073605","title":"DREAM: Dual foREcAsting Model for Network Anomaly Detection","display_name":"DREAM: Dual foREcAsting Model for Network Anomaly Detection","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4412446278","doi":"https://doi.org/10.1109/noms57970.2025.11073605"},"language":"en","primary_location":{"id":"doi:10.1109/noms57970.2025.11073605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","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/A5114539414","display_name":"Mehdi Boudjelli","orcid":null},"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":true,"raw_author_name":"Mehdi Boudjelli","raw_affiliation_strings":["Orange,France"],"affiliations":[{"raw_affiliation_string":"Orange,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034938043","display_name":"Sihem Cherrared","orcid":"https://orcid.org/0000-0002-2702-9714"},"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":"Sihem Cherrared","raw_affiliation_strings":["Orange,France"],"affiliations":[{"raw_affiliation_string":"Orange,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017010","display_name":"Pedro B. Velloso","orcid":"https://orcid.org/0000-0002-2920-394X"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pedro B. Velloso","raw_affiliation_strings":["CNAM,Paris,France"],"affiliations":[{"raw_affiliation_string":"CNAM,Paris,France","institution_ids":["https://openalex.org/I124158823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102416333","display_name":"Xiaofeng Huang","orcid":"https://orcid.org/0000-0003-0769-4589"},"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":"Xiaofeng Huang","raw_affiliation_strings":["Orange,France"],"affiliations":[{"raw_affiliation_string":"Orange,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017271101","display_name":"Fabrice Guillemin","orcid":"https://orcid.org/0000-0001-5960-2274"},"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":"Fabrice Guillemin","raw_affiliation_strings":["Orange,France"],"affiliations":[{"raw_affiliation_string":"Orange,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025676566","display_name":"Stefano Secci","orcid":"https://orcid.org/0000-0002-6129-0676"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stefano Secci","raw_affiliation_strings":["CNAM,Paris,France"],"affiliations":[{"raw_affiliation_string":"CNAM,Paris,France","institution_ids":["https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114539414"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22987062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":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/T12127","display_name":"Software System Performance and Reliability","score":0.9969000220298767,"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/dream","display_name":"Dream","score":0.6964859962463379},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.662002444267273},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6565561294555664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986052751541138},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5396251082420349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4330996870994568},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07433390617370605},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06553792953491211}],"concepts":[{"id":"https://openalex.org/C2781095916","wikidata":"https://www.wikidata.org/wiki/Q36348","display_name":"Dream","level":2,"score":0.6964859962463379},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.662002444267273},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6565561294555664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986052751541138},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5396251082420349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4330996870994568},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07433390617370605},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06553792953491211},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/noms57970.2025.11073605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05049981v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05049981","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NOMS 2025, IEEE; IFIP, May 2025, Honolulu (Hawai), United States. ⟨10.1109/NOMS57970.2025.11073605⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1568253479","https://openalex.org/W2092385861","https://openalex.org/W2296719434","https://openalex.org/W2465437519","https://openalex.org/W2555676925","https://openalex.org/W2613577378","https://openalex.org/W2786827964","https://openalex.org/W2810550035","https://openalex.org/W2902455138","https://openalex.org/W2918109107","https://openalex.org/W2918465401","https://openalex.org/W2948517885","https://openalex.org/W2950361482","https://openalex.org/W2959716986","https://openalex.org/W2983029853","https://openalex.org/W3014106621","https://openalex.org/W3080909084","https://openalex.org/W3101647584","https://openalex.org/W3105931142","https://openalex.org/W3106543020","https://openalex.org/W3155322940","https://openalex.org/W3170981104","https://openalex.org/W3199473923","https://openalex.org/W3215418478","https://openalex.org/W4220822635","https://openalex.org/W4224302644","https://openalex.org/W4242746862","https://openalex.org/W4283075614","https://openalex.org/W4288057688","https://openalex.org/W4303438998","https://openalex.org/W4311716377","https://openalex.org/W4312443721","https://openalex.org/W4382203079","https://openalex.org/W4388797346","https://openalex.org/W4392152379","https://openalex.org/W4402056503","https://openalex.org/W6756753118"],"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":{"In":[0],"this":[1],"paper,":[2],"we":[3,58],"address":[4],"the":[5,47,95,115],"challenge":[6],"of":[7,51,117],"anomaly":[8,36],"detection":[9,81],"in":[10,22,138],"multivariate":[11],"time":[12],"series":[13],"data":[14,78],"related":[15],"to":[16,35,79,105],"environments":[17],"requiring":[18],"stringent":[19],"guarantees,":[20],"notably":[21],"5G":[23,26],"and":[24,31,41,49,76,94,100],"beyond":[25],"systems":[27],"promising":[28],"high":[29],"reliability":[30],"quality.":[32],"Traditional":[33],"approaches":[34],"detection,":[37],"including":[38,135],"supervised,":[39],"unsuper-vised,":[40],"self-supervised":[42],"methods":[43],"often":[44],"struggle":[45],"with":[46,123,142],"diver-sity":[48],"unpredictability":[50],"real-world":[52],"anomalies.":[53,107],"To":[54],"overcome":[55],"these":[56],"limitations,":[57],"propose":[59],"a":[60,139],"novel":[61],"dual":[62],"forecasting":[63,144],"model":[64],"approach,":[65],"DREAM":[66,130],"(Dual":[67],"foREcAsting":[68],"Model":[69],"Anomaly":[70],"Detection),":[71],"which":[72],"leverages":[73],"both":[74],"normal":[75,92],"unlabeled":[77],"enhance":[80],"accuracy.":[82],"Our":[83,121],"approach":[84],"involves":[85],"training":[86],"two":[87],"distinct":[88],"models:":[89],"one":[90],"on":[91,97],"behavior":[93],"other":[96],"mixed":[98],"behavior,":[99],"then":[101],"comparing":[102],"their":[103],"outputs":[104],"identify":[106],"We":[108],"also":[109],"introduce":[110],"new":[111],"evaluation":[112],"method,":[113],"addressing":[114],"shortcomings":[116],"traditional":[118,132,143],"point-wise":[119],"evaluation.":[120],"experiments,":[122],"multiple":[124],"networked":[125],"system":[126],"datasets,":[127],"demonstrate":[128],"that":[129],"outper-forms":[131],"forecasting-based":[133],"approaches,":[134],"when":[136],"used":[137],"hybrid":[140],"manner":[141],"algorithms.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}