{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399603,0.000111869,0.0001007341,0.0001281409,0.0002833428,0.0001733245,0.0002883391,0.0000639037,0.00004196151],"category_scores_gemma":[0.00002610965,0.0001025947,0.0000653079,0.0004284386,0.000009531085,0.0002785679,0.00003807333,0.0001751101,0.0001214645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005902888,"about_ca_system_score_gemma":0.00001265372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007534296,"about_ca_topic_score_gemma":0.000005471371,"domain_scores_codex":[0.9989622,0.00006704805,0.0001720257,0.0003157364,0.0002422077,0.000240807],"domain_scores_gemma":[0.9994456,0.00007308107,0.00006106553,0.000308095,0.00004174985,0.00007036329],"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":[0.00003877186,0.0001715231,0.00004537341,0.000006788362,0.000006123884,0.00001287481,0.0001703939,0.05322871,0.01136583,0.0257908,0.001333698,0.9078291],"study_design_scores_gemma":[0.0002375544,0.0003817162,0.0007917281,0.0000232055,0.000001791375,0.000006961327,0.000003756056,0.9608214,0.03421491,0.000672782,0.002716089,0.000128087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09175926,0.000009860451,0.8998258,0.0007835143,0.0006479745,0.00009487377,8.272012e-8,0.0004785959,0.006400003],"genre_scores_gemma":[0.9857861,0.000002700799,0.01176127,0.002165799,0.0002243804,8.445526e-7,4.887287e-7,0.000003636754,0.00005479019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.907701,"threshold_uncertainty_score":0.4183689,"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."}}