{"id":"W7104176753","doi":"10.5267/j.ijdns.2025.10.003","title":"Reynold number as a mathematical mechanism for detecting the distributed denial of service HTTP flooding attacks","year":2025,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Network packet; Flooding (psychology); Trinoo; Service (business); The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002281738,0.001114486,0.0008580241,0.005057111,0.0005454859,0.00172952,0.001531811,0.0007619773,0.0008091539],"category_scores_gemma":[0.008958387,0.00027176,0.0006200547,0.001788302,0.000600413,0.002993298,0.0009102568,0.001123725,0.0007271061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109968,"about_ca_system_score_gemma":0.001178288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164237,"about_ca_topic_score_gemma":0.00185881,"domain_scores_codex":[0.9982684,0.00027004,0.0002231116,0.0003919664,0.0007237268,0.0001227373],"domain_scores_gemma":[0.9948344,0.001712719,0.001466092,0.0007012505,0.001140104,0.0001453815],"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":[0.001626889,0.0007142465,0.06661906,0.0006377528,0.0003257409,0.0007083922,0.0004154166,0.1455854,0.05828935,0.04481094,0.0135388,0.666728],"study_design_scores_gemma":[0.00004628493,0.0003368221,0.01011066,0.00007645541,0.00006432176,0.0007591533,0.0001103468,0.9116719,0.04840531,0.01419434,0.01410488,0.0001194629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1357419,0.002976341,0.8438807,0.0005163305,0.0004653944,0.0004260773,0.001181373,0.007851393,0.006960545],"genre_scores_gemma":[0.6840993,0.001092069,0.3093243,0.0001502495,0.0001613967,0.0002472512,0.001411716,0.0001592829,0.003354416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005057111,"threshold_uncertainty_score":0.01206714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851546574004329,"score_gpt":0.3296779882629081,"score_spread":0.3011625225228648,"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."}}