{"id":"W3135584010","doi":"10.1109/csp51677.2021.9357591","title":"DGA Domain Detection using Deep Learning","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Computer science; Malware; Classifier (UML); Domain (mathematical analysis); Artificial intelligence; Random forest; Machine learning; Server; Deep learning; Recurrent neural network; Artificial neural network; Data mining; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001749454,0.00006401025,0.00006911908,0.00005091992,0.0002877079,0.0001540873,0.0001340839,0.00005632537,0.0001476628],"category_scores_gemma":[0.00002812896,0.00006483153,0.00004636302,0.0005081866,0.00001121718,0.0003998667,0.0001500754,0.0001730322,0.00005391289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000429762,"about_ca_system_score_gemma":0.00002014772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850072,"about_ca_topic_score_gemma":0.0001145981,"domain_scores_codex":[0.9992256,0.0001132054,0.0001162836,0.0002380881,0.0001454891,0.000161361],"domain_scores_gemma":[0.9996235,0.00003118343,0.00003797747,0.0001896413,0.00007044619,0.0000472291],"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":[0.000008844267,0.00006152756,0.0002488393,0.00001401491,0.00002197502,0.00007663703,0.001072663,0.01077239,0.1688281,0.03796719,0.00003884625,0.780889],"study_design_scores_gemma":[0.0001584895,0.00004782953,0.0002899221,0.000009491875,0.000002745015,0.0001864389,0.0001100996,0.862658,0.1066559,0.008398195,0.02133537,0.0001475193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2161221,0.00009749398,0.7793568,0.00008701692,0.0004793946,0.00002292639,1.53396e-8,0.0001727191,0.003661509],"genre_scores_gemma":[0.944485,0.00002269011,0.05479719,0.0002029114,0.000145032,0.000001639418,3.648062e-7,0.000004732255,0.0003404501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8518856,"threshold_uncertainty_score":0.2643753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302964793109645,"score_gpt":0.2279254159196692,"score_spread":0.2148957679885728,"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."}}