{"id":"W4413180347","doi":"10.1109/netcrypt65877.2025.11102586","title":"Detection of DDoS Attack Using Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Computer science; Artificial intelligence; Machine learning; Operating system; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001807289,0.001401693,0.001088194,0.00243952,0.0003835588,0.001504993,0.001274623,0.001080674,0.0005359685],"category_scores_gemma":[0.005359365,0.0003256984,0.0009048536,0.001185323,0.0002994539,0.001749354,0.000759071,0.001505951,0.000539782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009248498,"about_ca_system_score_gemma":0.0007582917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005677728,"about_ca_topic_score_gemma":0.005169523,"domain_scores_codex":[0.9988011,0.00035567,0.00009709613,0.0003106771,0.0003221243,0.0001134766],"domain_scores_gemma":[0.9972284,0.001463799,0.0003733714,0.000315617,0.0005434724,0.00007516104],"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":[0.0001086312,0.000242097,0.008853928,0.00005256643,0.0001078331,0.00005333596,0.00002872116,0.8977305,0.001334616,0.00091887,0.001853063,0.08871584],"study_design_scores_gemma":[0.000001218228,0.00001179142,0.0002783888,0.000002765231,0.000003356253,0.000006758577,0.000004057396,0.9987128,0.0003572277,0.0005044934,0.0001147698,0.000002504808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3129895,0.001867071,0.6729271,0.001088092,0.0001842144,0.0001863396,0.001584802,0.005273841,0.003899006],"genre_scores_gemma":[0.8984603,0.0003976266,0.09691553,0.0001494069,0.00008532237,0.0001119069,0.002396147,0.00005851177,0.001425278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005677728,"threshold_uncertainty_score":0.01128936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730719400280419,"score_gpt":0.2660877882394513,"score_spread":0.2287805942366471,"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."}}