{"id":"W4406266453","doi":"10.1109/vtc2024-fall63153.2024.10757473","title":"Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Feature (linguistics); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609528,0.0001093419,0.0001118672,0.0001397462,0.00008414344,0.0002422852,0.0001752633,0.00006242033,0.000003896286],"category_scores_gemma":[0.00001294108,0.00009603486,0.00003674142,0.0006675301,0.00002308672,0.0006783025,0.00005521215,0.0001915569,0.000004765749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000991436,"about_ca_system_score_gemma":0.00004683382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001584934,"about_ca_topic_score_gemma":0.00009668722,"domain_scores_codex":[0.9990519,0.00002978816,0.0001788568,0.0004577725,0.0001218252,0.0001598603],"domain_scores_gemma":[0.9994894,0.00003522093,0.00002685647,0.0003524676,0.00004287948,0.00005319052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002905276,0.0001629886,0.001512757,0.0008684268,0.00002589542,0.00004366596,0.001514249,0.0009947874,0.07712044,0.1630564,0.0004948339,0.7541766],"study_design_scores_gemma":[0.0002019212,0.0001478746,0.008796887,0.0001279612,0.000005339409,0.00002536837,0.0001948685,0.5793785,0.3989991,0.003820233,0.007907134,0.0003948774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.112593,0.0002117122,0.8842967,0.001033292,0.0001845125,0.0003192681,9.694489e-7,0.0007979679,0.0005626327],"genre_scores_gemma":[0.9933984,0.00003123148,0.005525446,0.00008233447,0.00004023097,0.000769941,5.20783e-7,0.000007404186,0.0001445245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8808054,"threshold_uncertainty_score":0.3916188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306636791210198,"score_gpt":0.2698879905463534,"score_spread":0.2368216226342514,"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."}}