{"id":"W2149003320","doi":"10.1109/glocom.2008.ecp.392","title":"An Aggregative Approach for Scalable Detection of DoS Attacks","year":2008,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Voice over IP; Computer science; Scalability; Computer network; State (computer science); Scheme (mathematics); Computer security; 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":[0.003243132,0.0007471884,0.001059657,0.001018998,0.0007196043,0.001228793,0.001135299,0.0005973877,0.0009357192],"category_scores_gemma":[0.005800673,0.0003896428,0.0004798769,0.0006991939,0.0006787226,0.001694782,0.001238587,0.001162668,0.00035394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933908,"about_ca_system_score_gemma":0.0008680348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702119,"about_ca_topic_score_gemma":0.001578211,"domain_scores_codex":[0.9982744,0.0003710164,0.0001225555,0.0003781129,0.0006807756,0.0001730214],"domain_scores_gemma":[0.9951367,0.001519498,0.0004499495,0.001426378,0.001263655,0.0002038813],"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":[0.0008076999,0.0003920081,0.004103925,0.0001589978,0.0001721115,0.0002468282,0.0004836063,0.2138943,0.08042266,0.04545692,0.005162252,0.6486986],"study_design_scores_gemma":[0.00001833696,0.0001560102,0.000767773,0.000007109554,0.00003129287,0.00009207964,0.00003267645,0.9738787,0.01217281,0.01043437,0.002381502,0.0000273198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0212999,0.0001666845,0.9763867,0.00009769891,0.00003537796,0.00005088507,0.00003581479,0.001179952,0.0007469977],"genre_scores_gemma":[0.563927,0.000185216,0.4336937,0.0001139154,0.0001339841,0.0001283641,0.0001458329,0.0000653168,0.001606602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003243132,"threshold_uncertainty_score":0.01715153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443539333473158,"score_gpt":0.2485829351639187,"score_spread":0.2241475418291871,"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."}}