{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009105248,0.001053785,0.0005915846,0.002569017,0.000441303,0.0009822909,0.001198079,0.001006686,0.001264983],"category_scores_gemma":[0.002390305,0.000312353,0.0007021537,0.001089833,0.0004296409,0.001308522,0.001022057,0.001220488,0.0008714753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186777,"about_ca_system_score_gemma":0.0009423457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007502542,"about_ca_topic_score_gemma":0.01020451,"domain_scores_codex":[0.9994556,0.00008097364,0.00004226894,0.0001689472,0.0001461172,0.0001060285],"domain_scores_gemma":[0.9982461,0.0006019909,0.0002518797,0.0003124549,0.0005030768,0.00008438989],"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":[0.0006262422,0.0004855453,0.01418166,0.0001767483,0.0001851851,0.0006930931,0.0001283015,0.2406588,0.03079673,0.00425542,0.01474823,0.6930641],"study_design_scores_gemma":[0.000006210326,0.00002979868,0.0009888668,0.000007328376,0.000009743071,0.00007856515,0.000023535,0.9870664,0.009435644,0.001297208,0.001046406,0.00001028832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2854286,0.001109976,0.6871177,0.0005692774,0.0002453562,0.0002712062,0.001776411,0.01710258,0.006378843],"genre_scores_gemma":[0.7703627,0.00024627,0.2215568,0.0001927245,0.00003593578,0.00009478369,0.002735706,0.0001608218,0.004614184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007502542,"threshold_uncertainty_score":0.01491779,"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."}}