{"id":"W4417149096","doi":"10.18280/ijsse.150809","title":"Application of Machine Learning and Deep Learning Techniques for Android Malware Detection","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Malware; Android (operating system); Android malware; Android application","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005715434,0.0008218584,0.000420225,0.001449889,0.0003857551,0.0006934776,0.0004660455,0.0006581048,0.001317852],"category_scores_gemma":[0.001612506,0.0002307706,0.0005206235,0.0006733577,0.0002248151,0.0006920291,0.0006320745,0.0008821288,0.0004809515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000388414,"about_ca_system_score_gemma":0.0007073915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003624882,"about_ca_topic_score_gemma":0.006561271,"domain_scores_codex":[0.9996704,0.00004502924,0.00002115009,0.00006217296,0.000140993,0.00006037963],"domain_scores_gemma":[0.9991454,0.0003143837,0.00008641605,0.00008425015,0.0003329655,0.00003646266],"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":[0.0001768626,0.0003035146,0.006544291,0.0001626985,0.0001163375,0.0002119078,0.0001068602,0.07854411,0.05120355,0.00302507,0.003696211,0.8559085],"study_design_scores_gemma":[0.000005521117,0.00007082204,0.001852593,0.00001717778,0.00002327982,0.0001184144,0.00002692437,0.974317,0.0200545,0.002074618,0.00142782,0.00001135256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2006971,0.002245644,0.7845167,0.0008138553,0.0003136259,0.0001266587,0.0003654834,0.004008645,0.006912202],"genre_scores_gemma":[0.7515228,0.0007769871,0.2395805,0.0002016082,0.0000938286,0.000048164,0.0003633708,0.00009993937,0.007312872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003624882,"threshold_uncertainty_score":0.007207572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002794361036406909,"score_gpt":0.2399941579287886,"score_spread":0.2371997968923817,"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."}}