{"id":"W3142179327","doi":"10.1109/iccrd51685.2021.9386658","title":"From Real Malicious Domains to Possible False Positives in DGA Domain Detection","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Malware; False positive paradox; Computer science; Domain (mathematical analysis); Artificial intelligence; Firewall (physics); Command and control; Machine learning; Server; Network security; Data mining; Computer security","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":[0.01131108,0.001531199,0.0008907461,0.004291283,0.001054548,0.00373325,0.001457241,0.003095581,0.001052657],"category_scores_gemma":[0.08458533,0.0008845297,0.0006546972,0.001558655,0.002830522,0.004130777,0.0021137,0.002747216,0.001076676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053396,"about_ca_system_score_gemma":0.0006481403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215801,"about_ca_topic_score_gemma":0.001326801,"domain_scores_codex":[0.9818834,0.005584703,0.001002928,0.003405322,0.00717429,0.0009493348],"domain_scores_gemma":[0.8726547,0.09628613,0.01074383,0.01069503,0.008626935,0.00099327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00206546,0.0005927052,0.5005004,0.001167439,0.0004674731,0.01219195,0.002354815,0.06155473,0.02797576,0.03205066,0.01729436,0.3417842],"study_design_scores_gemma":[0.0001317612,0.0007298107,0.08418471,0.001039995,0.0005279066,0.03636447,0.00199623,0.6275528,0.1473997,0.07488665,0.02491824,0.0002678027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.689801,0.005660312,0.2801761,0.004516298,0.0005258695,0.0003334894,0.001283604,0.003299274,0.01440395],"genre_scores_gemma":[0.9468441,0.0004361243,0.05021222,0.0007053317,0.00008995866,0.00006144906,0.0004990688,0.0001246689,0.001027076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131108,"threshold_uncertainty_score":0.05981946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007786424744509619,"score_gpt":0.23687311504665,"score_spread":0.2290866903021404,"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."}}