{"id":"W2134776773","doi":"10.1109/glocom.2009.5425454","title":"SYN Flooding Attack Detection Based on Entropy Computing","year":2009,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"","keywords":"Handshake; Computer science; Flooding (psychology); Entropy (arrow of time); Robustness (evolution); Computer security; Real-time computing; Computer network","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":[0.0005291959,0.0004913011,0.0005366543,0.002330927,0.0003053911,0.0007179261,0.0004494969,0.0003123444,0.0006570945],"category_scores_gemma":[0.002679956,0.0002498821,0.0002449471,0.0007764191,0.0005948429,0.001434161,0.0006842333,0.0003774171,0.0002186178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888866,"about_ca_system_score_gemma":0.0003081805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005592958,"about_ca_topic_score_gemma":0.0006014457,"domain_scores_codex":[0.9992265,0.0001320664,0.00004667152,0.0001065768,0.0004289552,0.00005931211],"domain_scores_gemma":[0.9982042,0.0008016287,0.0002919917,0.0002099234,0.0003955945,0.00009667491],"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":[0.0009119693,0.000332143,0.02710229,0.0001990655,0.0001935929,0.0003918975,0.0003721503,0.06220812,0.2489793,0.009756166,0.001907326,0.647646],"study_design_scores_gemma":[0.00002411852,0.0003483452,0.01729461,0.00001649484,0.00005082793,0.0004776006,0.00003810542,0.8885889,0.08718907,0.004427237,0.001467003,0.00007763073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2519328,0.0003558745,0.7417377,0.0001575941,0.00008288304,0.0001225973,0.0001469041,0.002286288,0.003177362],"genre_scores_gemma":[0.929233,0.0001299421,0.0694913,0.00003613386,0.00007025705,0.00004192025,0.00009771375,0.00003508278,0.0008646592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002330927,"threshold_uncertainty_score":0.002821624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577174919316169,"score_gpt":0.2450987340847816,"score_spread":0.2293269848916199,"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."}}