{"id":"W2921546215","doi":"10.1109/malware.2018.8659365","title":"SpyDroid: A Framework for Employing Multiple Real-Time Malware Detectors on Android","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Android (operating system); Malware; Computer science; Android malware; Operating system; Detector; Embedded system; Computer security; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210799,0.0002275269,0.0002184335,0.0002016865,0.0003316822,0.0001192745,0.0007456794,0.000177807,0.00007058114],"category_scores_gemma":[0.0005253215,0.0002095624,0.0001097863,0.0004389476,0.00008799349,0.0004312844,0.0001484261,0.0001782328,0.0002177614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046558,"about_ca_system_score_gemma":0.00003038338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000292082,"about_ca_topic_score_gemma":0.00001960595,"domain_scores_codex":[0.9983596,0.0000379114,0.0002629103,0.0006528894,0.0002406083,0.0004460951],"domain_scores_gemma":[0.9980602,0.0006005315,0.000119638,0.0009037403,0.0001858387,0.0001300453],"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":[0.00062758,0.00048159,0.001572787,0.0001330987,0.0001299638,0.00004942686,0.002425663,0.0001506824,0.2230953,0.2379536,0.01289189,0.5204884],"study_design_scores_gemma":[0.0004255192,0.001740412,0.0004278552,0.00008701915,0.000005600437,0.00002257759,0.0000253501,0.02547648,0.8612386,0.1019726,0.008028683,0.0005493323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02721806,0.000005536074,0.9672251,0.0001796665,0.0003081051,0.0005565803,0.000006013961,0.002852805,0.001648174],"genre_scores_gemma":[0.381579,0.000005064925,0.6172187,0.0003825841,0.0001843375,0.0001127732,0.000001191796,0.00002862884,0.0004877473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6381432,"threshold_uncertainty_score":0.8545708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184749791747005,"score_gpt":0.2939088784890379,"score_spread":0.2754338993143374,"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."}}