{"id":"https://openalex.org/W4385487521","doi":"https://doi.org/10.1109/actea58025.2023.10194147","title":"Deep Learning-based Anomaly Detection for 5G Core Mobility Management","display_name":"Deep Learning-based Anomaly Detection for 5G Core Mobility Management","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4385487521","doi":"https://doi.org/10.1109/actea58025.2023.10194147"},"language":"en","primary_location":{"id":"doi:10.1109/actea58025.2023.10194147","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/actea58025.2023.10194147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","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/A5006211365","display_name":"Ali Issa","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":"Ali Issa","raw_affiliation_strings":["UQAT,Faculty of engineering,Val-d'Or,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UQAT,Faculty of engineering,Val-d'Or,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":["UQAT,Faculty of engineering,Val-d'Or,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UQAT,Faculty of engineering,Val-d'Or,Canada","institution_ids":["https://openalex.org/I190270569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018712158","display_name":"Nadir Hakem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nadir Hakem","raw_affiliation_strings":["LRTCS,Faculty of engineering,Val-d'Or,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRTCS,Faculty of engineering,Val-d'Or,Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64324539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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/autoencoder","display_name":"Autoencoder","score":0.814764142036438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469484806060791},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7399654388427734},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5986692309379578},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5813996195793152},{"id":"https://openalex.org/keywords/core-network","display_name":"Core network","score":0.5387505292892456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.483146607875824},{"id":"https://openalex.org/keywords/learning-network","display_name":"Learning network","score":0.4804632067680359},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4715930223464966},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.412956178188324},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4007995128631592},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36049431562423706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3595104217529297},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29649171233177185},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.223011314868927}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.814764142036438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469484806060791},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7399654388427734},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5986692309379578},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5813996195793152},{"id":"https://openalex.org/C5038329","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Core network","level":2,"score":0.5387505292892456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.483146607875824},{"id":"https://openalex.org/C2987015589","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Learning network","level":2,"score":0.4804632067680359},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4715930223464966},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.412956178188324},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4007995128631592},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36049431562423706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3595104217529297},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29649171233177185},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.223011314868927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/actea58025.2023.10194147","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/actea58025.2023.10194147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2069929199","https://openalex.org/W2466975708","https://openalex.org/W2738539022","https://openalex.org/W2810563447","https://openalex.org/W2902455138","https://openalex.org/W2904346290","https://openalex.org/W2922329508","https://openalex.org/W2964887849","https://openalex.org/W2965981069","https://openalex.org/W2966581125","https://openalex.org/W2968746919","https://openalex.org/W3015959599","https://openalex.org/W3088667755","https://openalex.org/W4287828487","https://openalex.org/W6756753118","https://openalex.org/W6770955637","https://openalex.org/W6783226869"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2997921738","https://openalex.org/W2965146396","https://openalex.org/W2770818364","https://openalex.org/W2104647467"],"abstract_inverted_index":{"Machine":[0],"learning":[1,79],"is":[2],"becoming":[3],"an":[4,30,77],"increasingly":[5],"critical":[6],"tool":[7],"in":[8],"next-generation":[9],"telecommunications":[10],"ecosystems.":[11],"Effective":[12],"anomaly":[13],"detection":[14],"tools":[15],"are":[16],"more":[17,27],"necessary":[18],"than":[19],"ever":[20],"as":[21],"mobile":[22],"solutions":[23],"continue":[24],"to":[25,35,45,56],"become":[26],"complex,":[28],"with":[29,84],"array":[31],"of":[32,92],"features":[33],"designed":[34],"enhance":[36],"network":[37,71],"capabilities.":[38],"This":[39],"article":[40],"presents":[41],"a":[42,96],"novel":[43],"approach":[44],"detect":[46],"anomalies":[47],"and":[48,60],"forecast":[49],"traffic":[50,62],"for":[51,65,102],"5G":[52,70,97],"core":[53],"networks,":[54],"aiming":[55],"prevent":[57],"severe":[58],"outages":[59],"reduce":[61],"impact,":[63],"especially":[64],"mission-critical":[66],"services.":[67],"By":[68],"collecting":[69],"functions":[72],"(NFs)":[73],"metrics,":[74],"we":[75],"developed":[76],"unsupervised":[78],"model":[80],"utilizing":[81],"Autoencoder":[82],"architecture":[83],"bidirectional":[85],"LSTMs.":[86],"Our":[87],"experiments":[88],"demonstrate":[89],"the":[90],"effectiveness":[91],"this":[93],"technique":[94],"on":[95],"network,":[98],"showing":[99],"promising":[100],"potential":[101],"future":[103],"applications.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}