{"id":"W4406499944","doi":"10.1109/cascon62161.2024.10837833","title":"Optimizing DDoS Detection with Time Series Transformers","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Denial-of-service attack; Series (stratigraphy); Time series; Transformer; Real-time computing; Machine learning; Engineering; Electrical engineering; Operating system; The Internet; Geology","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":[0.001057257,0.0009233301,0.0007428341,0.0006888604,0.000216755,0.0008074832,0.0007521724,0.0005189941,0.0009997003],"category_scores_gemma":[0.003404164,0.0003282208,0.0005880889,0.0005278443,0.0003433581,0.001491796,0.0005999669,0.0008866113,0.000383024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008573924,"about_ca_system_score_gemma":0.0009532183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007587065,"about_ca_topic_score_gemma":0.004779237,"domain_scores_codex":[0.9997166,0.00006073274,0.00002401411,0.00009658474,0.00006061597,0.00004130624],"domain_scores_gemma":[0.9991442,0.0004952637,0.00008544241,0.00006004566,0.0001710359,0.00004404301],"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":[0.0002163392,0.0001273835,0.004249989,0.00006197056,0.00004924866,0.00008124037,0.00003723395,0.845837,0.006705826,0.00276413,0.001057208,0.1388124],"study_design_scores_gemma":[0.000002208268,0.000009171403,0.00007946674,7.601296e-7,0.000003129541,0.000005392371,0.000002046791,0.9988146,0.0005691227,0.0004609769,0.00005200926,0.00000110122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1681982,0.0004781282,0.8257389,0.0004554332,0.00009227273,0.00007816834,0.0001925423,0.002809516,0.00195681],"genre_scores_gemma":[0.9540426,0.0001672497,0.04438281,0.00006833603,0.00002466383,0.00003586496,0.0002508954,0.00006461261,0.0009629272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007587065,"threshold_uncertainty_score":0.01508582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005960291403429593,"score_gpt":0.1967072207757593,"score_spread":0.1907469293723297,"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."}}