{"id":"W2597854797","doi":"10.1109/malware.2016.7888736","title":"Zonedroid: control your droid through application zoning","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permission; Computer science; Android (operating system); Access control; Computer security; Botnet; Operating system; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001216828,0.001137416,0.0006129801,0.001344525,0.0007935173,0.001480128,0.002009423,0.0007878213,0.004344557],"category_scores_gemma":[0.004429103,0.000750305,0.0006772029,0.000368061,0.001481679,0.003758983,0.004408167,0.001945241,0.001526846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972087,"about_ca_system_score_gemma":0.001092744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005185741,"about_ca_topic_score_gemma":0.005686794,"domain_scores_codex":[0.9985825,0.0001961256,0.000134739,0.0002940474,0.0005283311,0.0002642788],"domain_scores_gemma":[0.9968011,0.0006332198,0.0002493589,0.001569371,0.0004617925,0.0002851402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003461084,0.00078757,0.03253178,0.001959294,0.0003586888,0.001459238,0.004390328,0.0266385,0.2017589,0.07191149,0.05878179,0.5959613],"study_design_scores_gemma":[0.0006596236,0.001071316,0.01894017,0.0004300878,0.0004750869,0.002190842,0.0009611995,0.3568429,0.2075538,0.02876894,0.3813176,0.0007884417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1704713,0.004515908,0.6436955,0.001239608,0.0009130152,0.001839852,0.0008645317,0.1453086,0.0311515],"genre_scores_gemma":[0.8772312,0.001163648,0.1015474,0.0007528962,0.0001438617,0.0005942759,0.0006575895,0.003316085,0.01459306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005185741,"threshold_uncertainty_score":0.014534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009837130466403032,"score_gpt":0.2601886029365467,"score_spread":0.2503514724701437,"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."}}