{"id":"W4360604903","doi":"10.1109/icnc57223.2023.10074208","title":"Deep Learning Based Malapps Detection in Android Powered Mobile Cyber-Physical System","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Malware; Android (operating system); Categorization; Machine learning; Cyber-physical system; Artificial intelligence; Mobile device; Ensemble learning; Computer security; 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":[0.0003350855,0.00111317,0.0006275588,0.001359052,0.0002620706,0.0003743054,0.0006497685,0.0006534773,0.0003285091],"category_scores_gemma":[0.0009443645,0.0001670335,0.000438236,0.0004510014,0.0001968531,0.0005735688,0.0005630369,0.0006385999,0.0002411569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094512,"about_ca_system_score_gemma":0.0003794144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178895,"about_ca_topic_score_gemma":0.01232464,"domain_scores_codex":[0.9996738,0.00003516789,0.00002272326,0.00007851858,0.00009413616,0.00009562096],"domain_scores_gemma":[0.9996108,0.0001175255,0.00006086634,0.00003638716,0.0001332435,0.00004116],"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":[0.001417299,0.001172689,0.1062953,0.0003711034,0.0002632553,0.002319875,0.0002996581,0.204158,0.03364515,0.0007092871,0.0183807,0.6309677],"study_design_scores_gemma":[0.0000080788,0.000133497,0.01117137,0.00001126195,0.00002718925,0.0001416319,0.00005976153,0.9806254,0.007030085,0.0001994033,0.0005795845,0.00001281623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791722,0.001247619,0.01548018,0.0003857359,0.00009538851,0.00004492049,0.0006445222,0.001582273,0.001347208],"genre_scores_gemma":[0.9904951,0.0002492903,0.006596118,0.0001295365,0.00002830588,0.00002158439,0.001160732,0.00001851755,0.001300744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178895,"threshold_uncertainty_score":0.02344066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00658191018233008,"score_gpt":0.2431419636583013,"score_spread":0.2365600534759713,"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."}}