{"id":"https://openalex.org/W7163351598","doi":"https://doi.org/10.1109/access.2026.3699648","title":"TeleGAN-Core: A BiLSTM Dual-Autoencoder GAN for 5G Core Anomaly Detection","display_name":"TeleGAN-Core: A BiLSTM Dual-Autoencoder GAN for 5G Core Anomaly Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7163351598","doi":"https://doi.org/10.1109/access.2026.3699648"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3699648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3699648","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3699648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137751061","display_name":"Ali Issa","orcid":"https://orcid.org/0009-0005-9569-597X"},"institutions":[{"id":"https://openalex.org/I190270569","display_name":"Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue","ror":"https://ror.org/02mqrrm75","country_code":"CA","type":"education","lineage":["https://openalex.org/I190270569","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Issa","raw_affiliation_strings":["Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada"],"raw_orcid":"https://orcid.org/0009-0005-9569-597X","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada","institution_ids":["https://openalex.org/I190270569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113029611","display_name":"Nahi Kandil","orcid":null},"institutions":[{"id":"https://openalex.org/I190270569","display_name":"Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue","ror":"https://ror.org/02mqrrm75","country_code":"CA","type":"education","lineage":["https://openalex.org/I190270569","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nahi Kandil","raw_affiliation_strings":["Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada","institution_ids":["https://openalex.org/I190270569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018712158","display_name":"Nadir Hakem","orcid":null},"institutions":[{"id":"https://openalex.org/I190270569","display_name":"Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue","ror":"https://ror.org/02mqrrm75","country_code":"CA","type":"education","lineage":["https://openalex.org/I190270569","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nadir Hakem","raw_affiliation_strings":["Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Quebec at Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, QC, Canada","institution_ids":["https://openalex.org/I190270569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058884064","display_name":"Abdelwahab Hamou\u2010Lhadj","orcid":"https://orcid.org/0000-0002-3319-5006"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdelwahab Hamou-Lhadj","raw_affiliation_strings":["Department of Electrical and Computer Engineering (ECE), Concordia University, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3319-5006","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering (ECE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69601659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"85917","last_page":"85939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.22519999742507935,"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":0.22519999742507935,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.0714000016450882,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.0649000033736229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.44830000400543213},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.40689998865127563},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.3154999911785126},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.21850000321865082}],"concepts":[{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.44830000400543213},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3531000018119812},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29679998755455017},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2822999954223633},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24120000004768372},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2190999984741211},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.21850000321865082}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3699648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3699648","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2844322d3c0240299d513909e404feaa","is_oa":true,"landing_page_url":"https://doaj.org/article/2844322d3c0240299d513909e404feaa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 85917-85939 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3699648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3699648","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5174397230148315,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,112,227],"5G":[1],"Core":[2],"(5GC)":[3],"is":[4,52,114,160],"a":[5,82,117,131,178,217],"critical":[6],"component":[7],"of":[8,36,242],"next-generation":[9],"mobile":[10],"networks,":[11],"and":[12,28,63,71,74,99,120,124,142,151,166,171,197,222,283],"its":[13,255],"reliable":[14],"operation":[15],"increasingly":[16],"relies":[17],"on":[18,162,167,257],"Artificial":[19],"Intelligence":[20],"for":[21,88,147,246,275],"IT":[22],"operations":[23],"(AIOps)":[24],"to":[25,55],"detect,":[26],"localize,":[27],"mitigate":[29],"anomalies.":[30],"These":[31,251],"AIOps":[32,157,249,281],"pipelines":[33],"process":[34],"thousands":[35],"correlated":[37],"telemetry":[38,165],"streams":[39,146],"exported":[40],"by":[41,59],"the":[42,97,121,168,185,193,201,206,235,240,243],"5GC,":[43],"where":[44],"anomaly":[45,90,133,213,277],"detection":[46,91,232,278],"in":[47,92,279],"multivariate":[48,145,174],"time-series":[49,175],"(MTS)":[50],"metrics":[51,141],"challenging":[53],"due":[54],"cross-metric":[56],"coupling":[57],"induced":[58],"shared":[60],"underlying":[61],"counters":[62],"derived":[64],"performance":[65,94,191,256],"measurements,":[66],"non-stationarity":[67],"from":[68],"software":[69],"updates":[70],"traffic":[72],"fluctuations,":[73],"limited":[75],"incident":[76],"labeling.":[77],"This":[78],"work":[79],"introduces":[80],"TeleGAN-Core,":[81],"generative":[83],"adversarial":[84],"network":[85,149],"(GAN)":[86],"designed":[87],"one-class":[89],"5GC":[93,164,207,248,280],"metrics.":[95],"Both":[96],"generator":[98,123],"an":[100,272],"autoencoder-based":[101],"critic":[102,113,125],"are":[103,128],"implemented":[104],"using":[105,177],"Bidirectional":[106],"Long":[107],"Short-Term":[108],"Memory":[109],"(BiLSTM)":[110],"autoencoders.":[111],"trained":[115],"as":[116],"reconstruction-energy":[118],"model,":[119],"resulting":[122],"reconstruction":[126],"errors":[127],"fused":[129],"through":[130],"weighted":[132],"score.":[134],"A":[135],"5GC-aware":[136,268],"preprocessing":[137,269],"pipeline":[138],"standardizes":[139],"heterogeneous":[140],"constructs":[143],"service-oriented":[144],"each":[148],"function":[150],"interface,":[152],"enabling":[153],"seamless":[154],"integration":[155],"into":[156],"workflows.":[158],"TeleGAN-Core":[159,209],"evaluated":[161,194],"production":[163],"public":[169],"SWaT":[170],"WADI":[172],"industrial":[173,259],"benchmarks":[176],"unified":[179],"experimental":[180,203],"protocol.":[181,204],"Across":[182],"these":[183],"datasets,":[184],"proposed":[186,244],"model":[187],"achieves":[188],"stronger":[189],"anomaly-detection":[190],"than":[192],"recurrent,":[195],"adversarial,":[196,264],"transformer-based":[198],"baselines":[199],"under":[200,224],"reported":[202],"On":[205],"telemetry,":[208],"detects":[210],"most":[211],"labeled":[212],"episodes":[214],"while":[215],"maintaining":[216],"favorable":[218],"balance":[219],"between":[220],"precision":[221],"recall":[223],"class":[225],"imbalance.":[226],"results":[228],"also":[229],"show":[230],"low":[231],"delay":[233],"at":[234],"operational":[236,285],"aggregation":[237],"scale,":[238],"supporting":[239],"suitability":[241],"framework":[245],"near-real-time":[247],"monitoring.":[250],"results,":[252],"together":[253],"with":[254,267],"additional":[258],"benchmarks,":[260],"suggest":[261],"that":[262],"combining":[263],"sequence-aware":[265],"modeling":[266],"can":[270],"provide":[271],"effective":[273],"basis":[274],"low-latency":[276],"environments":[282],"related":[284],"telemetry.":[286]},"counts_by_year":[],"updated_date":"2026-06-12T06:20:11.936012","created_date":"2026-06-04T00:00:00"}