{"id":"W4312178455","doi":"10.18280/ria.360514","title":"Android Malware Classification Using LSTM Model","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Android (operating system); Computer science; Exploit; Android malware; Hacker; Computer security; Population; Machine learning; Artificial intelligence; Operating system","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":[0.0002359639,0.0008789172,0.0004385018,0.001167224,0.0002550842,0.0005161596,0.0005172934,0.0007419565,0.001456343],"category_scores_gemma":[0.0007540765,0.0001959467,0.0006956662,0.0004471083,0.0002215915,0.0006016751,0.0003638201,0.0008175899,0.0008475367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290124,"about_ca_system_score_gemma":0.0004875975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008351639,"about_ca_topic_score_gemma":0.006195377,"domain_scores_codex":[0.9998301,0.00001906301,0.00001288312,0.00005029269,0.0000446595,0.00004290531],"domain_scores_gemma":[0.9997804,0.00007399619,0.00002317929,0.0000134048,0.00009640858,0.00001269563],"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":[0.0007064748,0.000460336,0.009044028,0.0002295711,0.0001415594,0.0007446222,0.0001626155,0.2623278,0.02729987,0.001478231,0.01453199,0.6828729],"study_design_scores_gemma":[0.000003857222,0.00004592547,0.001039944,0.00000996888,0.00001378584,0.00006636378,0.00001918466,0.9947832,0.002999626,0.0004459299,0.0005637627,0.00000835688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6416653,0.004825265,0.327212,0.002265073,0.001051913,0.0002374974,0.002100003,0.008518041,0.01212501],"genre_scores_gemma":[0.9555407,0.0008212445,0.03437144,0.0002404094,0.0001290311,0.0001049822,0.00136802,0.00006693938,0.007357202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008351639,"threshold_uncertainty_score":0.01660603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498360604434674,"score_gpt":0.3084570053035386,"score_spread":0.2234733992591919,"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."}}