{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260386,0.0001299836,0.0002133062,0.0001704041,0.0005413367,0.00001531788,0.0004643492,0.0001110704,0.00003723892],"category_scores_gemma":[0.00005424988,0.0001656123,0.0001412778,0.0004566005,0.0003690172,0.0006544638,0.0004606451,0.0001330523,0.00000548523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278251,"about_ca_system_score_gemma":0.0003889751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062583,"about_ca_topic_score_gemma":0.00005207359,"domain_scores_codex":[0.9987193,0.00009392337,0.0002473979,0.0003909082,0.0003980586,0.0001504329],"domain_scores_gemma":[0.9985727,0.00006960676,0.0003151952,0.0004932076,0.0004780524,0.00007124643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001431744,0.0003316177,0.00841748,0.0002363668,0.0001484863,0.0005069537,0.0009962384,0.00514181,0.6725141,0.2984196,0.0006468905,0.01249728],"study_design_scores_gemma":[0.002182919,0.0003548974,0.1446476,0.0005309354,0.0001778637,0.002136779,0.004204304,0.1914787,0.5944569,0.008792192,0.04976049,0.001276414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3062024,0.0001874099,0.6852021,0.0001617131,0.0002672329,0.00009483907,0.00001764515,0.0001400413,0.00772658],"genre_scores_gemma":[0.8736581,0.0000522409,0.1250657,0.00002579665,0.00002896021,4.053031e-7,0.00001406777,0.000005265305,0.001149427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5674557,"threshold_uncertainty_score":0.6753475,"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."}}