{"id":"W4225015074","doi":"10.18280/mmep.090213","title":"Network Anomaly Detection in 5G Networks","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Imam Abdulrahman Bin Faisal University; Saudi Aramco","keywords":"Anomaly detection; Computer science; Process (computing); Data mining; Anomaly (physics); Broadband; Cellular network; Artificial intelligence; Machine learning; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005751011,0.0001168643,0.0001568787,0.00009022155,0.0001914319,0.00008387504,0.0001971437,0.0000500822,0.00001124203],"category_scores_gemma":[0.00000715437,0.0001228455,0.00003111539,0.0004662822,0.000009225376,0.0001560845,0.0001566976,0.0003933414,0.000002703975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004384061,"about_ca_system_score_gemma":0.000005054327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972874,"about_ca_topic_score_gemma":0.000002526461,"domain_scores_codex":[0.9989886,0.00003599764,0.0002508883,0.0002557889,0.0001582891,0.0003104728],"domain_scores_gemma":[0.9996175,0.00008762638,0.00003644403,0.0001862525,0.00001025051,0.0000619553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002657298,0.00002260236,0.000004370853,0.00003349567,0.000003139851,0.000002594081,0.0002396706,0.9725386,0.00002671709,0.02314571,0.000008719551,0.003971707],"study_design_scores_gemma":[0.0001131598,0.00006888079,0.00001233488,0.00003956245,0.00000237173,0.0000375182,0.000004562395,0.9590967,0.00001735192,0.03974684,0.000722422,0.0001383482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03157867,0.000418891,0.9671557,0.00007893137,0.0002532254,0.0001336584,1.441899e-7,0.0002039999,0.0001767882],"genre_scores_gemma":[0.9799742,0.00003492509,0.0197398,0.00004316069,0.0000803229,0.00008586451,5.544944e-7,0.00001283596,0.00002832851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9483956,"threshold_uncertainty_score":0.5009493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433617733619661,"score_gpt":0.1807448121476644,"score_spread":0.1664086348114678,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}