{"id":"W4312838809","doi":"10.2139/ssrn.4264058","title":"Android Malware Classification Using Optimum Feature Selection and Ensemble Machine Learning","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Malware; Android malware; Feature selection; Computer science; Machine learning; Artificial intelligence; Android (operating system); Ensemble learning; Selection (genetic algorithm); Support vector machine; Operating system","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":[0.001334346,0.001111114,0.001862532,0.002247816,0.0007236525,0.0009660085,0.0008456486,0.0009607042,0.001085907],"category_scores_gemma":[0.002822425,0.0003253747,0.001659667,0.001439357,0.0002507028,0.001286875,0.0007379213,0.001002741,0.000660092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159874,"about_ca_system_score_gemma":0.0007546286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535555,"about_ca_topic_score_gemma":0.003647447,"domain_scores_codex":[0.9990017,0.0001685211,0.00008236722,0.000252596,0.0002962025,0.0001985731],"domain_scores_gemma":[0.9984952,0.0005738033,0.0000879514,0.0001798054,0.0006028254,0.00006037966],"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":[0.0005649752,0.0004894772,0.01435918,0.00007948094,0.000316174,0.0002025761,0.00008984837,0.06424797,0.01818932,0.0006502372,0.004844256,0.8959666],"study_design_scores_gemma":[0.00001511437,0.0001820864,0.005134858,0.000009895857,0.0001045899,0.0001412013,0.00004014961,0.9873777,0.005447912,0.0008965572,0.0006321335,0.0000177974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2526773,0.00142704,0.7398652,0.0003227034,0.0002933924,0.0001518995,0.0003708881,0.002965064,0.001926452],"genre_scores_gemma":[0.8413295,0.0002996078,0.1538717,0.00009899828,0.0001549503,0.0001314038,0.001056327,0.00009953429,0.002958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002535555,"threshold_uncertainty_score":0.007056773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144652389429386,"score_gpt":0.2489328840135334,"score_spread":0.2374863601192396,"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."}}