{"id":"W2151124070","doi":"10.14569/ijacsa.2015.060120","title":"Android Platform Malware Analysis","year":2015,"lang":"en","type":"article","venue":"International Journal of Advanced Computer Science and Applications","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Albaha University","keywords":"Malware; Android (operating system); Computer science; Computer security; Mobile malware; Cryptovirology; Authorization; Mobile device; Ransomware; Mobile phone; Software; Confidentiality; 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":[0.0003431619,0.001088376,0.0005596965,0.006296641,0.0007306833,0.0006995811,0.0004833533,0.0004559031,0.002241957],"category_scores_gemma":[0.001970795,0.0002188981,0.0008589083,0.001649773,0.0002233465,0.0006980407,0.0006683542,0.000698229,0.003271521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859039,"about_ca_system_score_gemma":0.001040046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004471847,"about_ca_topic_score_gemma":0.005803888,"domain_scores_codex":[0.998992,0.00005370451,0.00009115271,0.0001617949,0.0005459814,0.000155403],"domain_scores_gemma":[0.998806,0.0002521652,0.0001732781,0.0001852898,0.0005197293,0.00006354466],"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":[0.001392663,0.0007537321,0.1128969,0.004024053,0.0003095329,0.003779307,0.001445133,0.005617719,0.05885625,0.006205092,0.2476972,0.5570225],"study_design_scores_gemma":[0.0001202609,0.0007937128,0.3493241,0.0007267414,0.000305173,0.007437961,0.001931429,0.06711278,0.1162218,0.003967308,0.4517713,0.0002874394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6697617,0.008306489,0.02545538,0.001241346,0.0008973224,0.002851837,0.2065701,0.02640537,0.05851041],"genre_scores_gemma":[0.6763535,0.004041283,0.05301686,0.0004937373,0.0001927385,0.001737059,0.2328701,0.001374621,0.02992016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006296641,"threshold_uncertainty_score":0.008891642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609056165574577,"score_gpt":0.3028820432265874,"score_spread":0.2867914815708416,"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."}}