{"id":"W2119743479","doi":"10.1109/aiccsa.2005.1387064","title":"Proactive control of distributed denial of service attacks with source router preferential dropping","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Denial-of-service attack; Computer network; Router; Computer science; Network packet; Application layer DDoS attack; Trinoo; Computer security; Collateral damage; IP traceback; The Internet; Operating system","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":[0.001085794,0.0006082609,0.0005054994,0.0006559557,0.0004061545,0.0006861201,0.001161529,0.0002927693,0.0007777146],"category_scores_gemma":[0.002369934,0.0001724041,0.0002398505,0.0004167445,0.000519448,0.0006704297,0.0007489185,0.0004698065,0.0001320697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006083632,"about_ca_system_score_gemma":0.0005609497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080663,"about_ca_topic_score_gemma":0.002824099,"domain_scores_codex":[0.9994379,0.0001369466,0.00003091475,0.00007529129,0.0002312011,0.0000877512],"domain_scores_gemma":[0.997448,0.001131403,0.0004412694,0.0003228653,0.0005034834,0.0001530967],"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":[0.0008624127,0.0003639229,0.005965109,0.0002109054,0.0001042418,0.000392475,0.0001872982,0.7556745,0.05476478,0.0120546,0.002232247,0.1671875],"study_design_scores_gemma":[0.00003447097,0.0001356139,0.0003551908,0.000004723375,0.00002725061,0.00006092375,0.00001175128,0.9928033,0.005012197,0.001039201,0.0005086566,0.000006783607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3162689,0.0008261141,0.6747608,0.0003875817,0.000153467,0.0001568767,0.00005662321,0.002284207,0.005105441],"genre_scores_gemma":[0.9831048,0.0001049204,0.0162715,0.00003508136,0.0000229193,0.00001528947,0.00001797048,0.00001222961,0.0004152828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002080663,"threshold_uncertainty_score":0.005742252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646061228984737,"score_gpt":0.2072411039972142,"score_spread":0.1985950427682295,"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."}}