{"id":"W4221146354","doi":"10.1109/tvt.2022.3193074","title":"Distributed Online Anomaly Detection for Virtualized Network Slicing Environment","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Chongqing Municipal Education Commission; National Natural Science Foundation of China","keywords":"Anomaly detection; Computer science; Anomaly (physics); Node (physics); Slicing; Distributed computing; Data mining; Real-time computing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007569516,0.0008118818,0.0009358783,0.0005761442,0.0004100237,0.0007417705,0.001284681,0.0006034226,0.0004911249],"category_scores_gemma":[0.002867299,0.0002607554,0.0004065723,0.0005622041,0.0005945108,0.001283059,0.0009865772,0.000973983,0.0001167094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007296246,"about_ca_system_score_gemma":0.0009486569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004447168,"about_ca_topic_score_gemma":0.003082228,"domain_scores_codex":[0.9991295,0.0001765588,0.00003899899,0.0002939619,0.000254725,0.0001062988],"domain_scores_gemma":[0.9984572,0.0004961751,0.0003168324,0.0002014288,0.0004194239,0.0001089035],"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":[0.0002547385,0.0001101112,0.005642482,0.00008504133,0.00008031957,0.0002925378,0.0001406759,0.77931,0.0143858,0.005105086,0.00207939,0.1925138],"study_design_scores_gemma":[0.000002833042,0.00001172964,0.0001847907,8.396704e-7,0.000002373703,0.00001849988,0.000006690788,0.9980211,0.0007324682,0.0009155443,0.0001005706,0.000002613517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05359988,0.0001757855,0.9442994,0.0001478328,0.00004445983,0.00002705395,0.00004928933,0.001140674,0.0005156375],"genre_scores_gemma":[0.9139209,0.00009108318,0.0849779,0.00007178811,0.00003303701,0.00004591951,0.0001615032,0.00005196776,0.0006460062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004447168,"threshold_uncertainty_score":0.008842528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009721216181153226,"score_gpt":0.2136797835445797,"score_spread":0.2039585673634265,"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."}}