{"id":"W6926467693","doi":"","title":"CLASSIFICATION OF MALWARE FAMILIES USING NAÏVE BAYES CLASSIFIER","year":2021,"lang":"en","type":"article","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Naive Bayes classifier; Random forest; Android malware; Precision and recall; Bayes' theorem; Classifier (UML)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002749092,0.001615567,0.001325224,0.006567229,0.001280149,0.002116582,0.001262567,0.001625563,0.003489086],"category_scores_gemma":[0.008329352,0.0005263346,0.002013297,0.002397138,0.0004980127,0.002068581,0.0006624925,0.001271795,0.003772171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413513,"about_ca_system_score_gemma":0.002624316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116752,"about_ca_topic_score_gemma":0.02016655,"domain_scores_codex":[0.9962947,0.0004247807,0.0004775905,0.0008921503,0.001506306,0.0004044891],"domain_scores_gemma":[0.9952619,0.001700064,0.0003202631,0.0003598154,0.002154421,0.0002035349],"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":[0.001522031,0.001026978,0.1784351,0.001172957,0.0003938836,0.001087708,0.0006316147,0.02577697,0.01378613,0.002856905,0.06521558,0.7080942],"study_design_scores_gemma":[0.0002216533,0.0008817934,0.08110084,0.0009261779,0.0005867351,0.002662143,0.001638236,0.7954252,0.03663087,0.01200159,0.06763265,0.000292058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6909034,0.01004128,0.2026486,0.003107052,0.002436092,0.002907379,0.04104608,0.01625908,0.03065108],"genre_scores_gemma":[0.7358217,0.002494399,0.1904642,0.000611971,0.0004595527,0.0009238847,0.05074851,0.0003983941,0.0180775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116752,"threshold_uncertainty_score":0.04208863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895187805527403,"score_gpt":0.2243726023960139,"score_spread":0.2054207243407398,"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."}}