{"id":"W1793841197","doi":"10.1002/sec.365","title":"SYN flooding attack detection by TCP handshake anomalies","year":2011,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Cisco Systems","keywords":"Handshake; Computer science; Flooding (psychology); CUSUM; Computer network; Computer security; Initialization; Real-time computing","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":[0.000514264,0.0001830627,0.0001829231,0.00007913788,0.0007835289,0.0002202161,0.0008185694,0.0002100006,0.0000525794],"category_scores_gemma":[0.00001865067,0.0001932809,0.00006235603,0.0004253527,0.0001372594,0.0009216407,0.0005220865,0.0004743523,0.0000158727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002935287,"about_ca_system_score_gemma":0.000009752679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001243192,"about_ca_topic_score_gemma":0.0003003577,"domain_scores_codex":[0.9985883,0.0002940561,0.0003144058,0.0003507634,0.0001623465,0.0002901824],"domain_scores_gemma":[0.9985743,0.0001044456,0.0001742053,0.0009349178,0.00009055564,0.0001216179],"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":[0.0003733874,0.001020059,0.001832559,0.0001177011,0.0002711487,0.000009922941,0.0390742,0.0007578121,0.0009870951,0.1446928,0.01607632,0.794787],"study_design_scores_gemma":[0.0008523724,0.0003131654,0.00123189,0.0001145621,0.00003290145,0.00007289919,0.0003849929,0.9251769,0.004628194,0.02220075,0.04429598,0.000695452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3646451,0.01751621,0.5981323,0.0007178308,0.0009227872,0.0005557562,0.000005167354,0.0009397584,0.01656506],"genre_scores_gemma":[0.9941673,0.003726555,0.001574411,0.0003533239,0.00007146919,0.00003588665,0.00001291362,0.00001126279,0.00004688817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.924419,"threshold_uncertainty_score":0.7881766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035445118473053,"score_gpt":0.2178774266844471,"score_spread":0.1975229754997165,"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."}}