{"id":"W4285813987","doi":"10.1109/iwcmc55113.2022.9824225","title":"Evaluating Dynamic Analysis Features for Android Malware Categorization","year":2022,"lang":"en","type":"article","venue":"2022 International Wireless Communications and Mobile Computing (IWCMC)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Computer science; Android (operating system); Static analysis; Categorization; Obfuscation; Android malware; Malware analysis; Computer security; Data mining; Artificial intelligence; Operating system","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":[0.0016172,0.001232796,0.0008451476,0.007890095,0.0005767233,0.001289202,0.0004186686,0.0006560354,0.001037572],"category_scores_gemma":[0.008664273,0.000158838,0.001138766,0.002273191,0.0003757947,0.001271403,0.000701553,0.0005642363,0.0006363092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005040995,"about_ca_system_score_gemma":0.0007231764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115223,"about_ca_topic_score_gemma":0.003468411,"domain_scores_codex":[0.998208,0.0002453708,0.0002351802,0.0003740909,0.0007180403,0.0002193789],"domain_scores_gemma":[0.9921747,0.00479798,0.0008508099,0.0004573178,0.001424859,0.0002943635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002156208,0.0009979202,0.1911474,0.0008403924,0.0005618896,0.0005567566,0.0004105883,0.02214035,0.03876073,0.0007947575,0.007710694,0.7339222],"study_design_scores_gemma":[0.000114391,0.003022685,0.4002571,0.0002955365,0.0007650621,0.002134958,0.001500011,0.5185159,0.06257948,0.001699127,0.008916726,0.0001990284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604276,0.003371583,0.02759257,0.0001918322,0.00018108,0.0002915584,0.002329743,0.002459706,0.003154284],"genre_scores_gemma":[0.9671422,0.0005411014,0.0273309,0.00003260291,0.00005742939,0.0001252402,0.003754452,0.00007499511,0.0009411129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007890095,"threshold_uncertainty_score":0.008552611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192849522895063,"score_gpt":0.3598721763947191,"score_spread":0.3379436811657685,"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."}}