{"id":"W2469580049","doi":"10.1109/noms.2016.7502964","title":"How to choose from different botnet detection systems?","year":2016,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Botnet; Payload (computing); Computer science; Network packet; Feature extraction; Computer security; Data mining; Artificial intelligence; Machine learning; The Internet; World Wide Web","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":[0.0160169,0.001685632,0.002740543,0.004578802,0.001016561,0.004034729,0.003161296,0.003774872,0.001888622],"category_scores_gemma":[0.05643038,0.001015141,0.001229542,0.001844741,0.001411452,0.00707464,0.001666194,0.003186309,0.003610016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009001507,"about_ca_system_score_gemma":0.001351195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432787,"about_ca_topic_score_gemma":0.003288092,"domain_scores_codex":[0.9916801,0.003290816,0.0009295182,0.001876604,0.001725324,0.0004976467],"domain_scores_gemma":[0.9606927,0.01872227,0.002474237,0.005598457,0.01122766,0.001284675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001159146,0.001441018,0.05334469,0.001226317,0.00115929,0.0003239432,0.0005225221,0.01999962,0.02145171,0.006014726,0.0203531,0.873004],"study_design_scores_gemma":[0.001752207,0.003366579,0.08910296,0.00340001,0.002483508,0.003549549,0.005263329,0.5888464,0.1418979,0.1004892,0.05850565,0.001342635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2811818,0.01707101,0.6401515,0.0310114,0.001538638,0.001873362,0.001400687,0.01070553,0.01506599],"genre_scores_gemma":[0.5095855,0.002234364,0.4797726,0.003957734,0.0003973057,0.0004343298,0.0005984643,0.0006878826,0.002331866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0160169,"threshold_uncertainty_score":0.08470649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120763015703759,"score_gpt":0.198020023844279,"score_spread":0.1868123936872414,"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."}}