{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003988218,0.0001587699,0.0001598145,0.0002210924,0.0006462774,0.00008760158,0.001053902,0.00004599762,0.0001233568],"category_scores_gemma":[0.00005294514,0.0001898624,0.00009248307,0.0009285295,0.00005187393,0.0005116124,0.0005708342,0.0003139,0.00005749278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693282,"about_ca_system_score_gemma":0.00008037934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277674,"about_ca_topic_score_gemma":0.000001801587,"domain_scores_codex":[0.998289,0.00008494367,0.0004001263,0.0005976821,0.0003009503,0.0003272778],"domain_scores_gemma":[0.9986145,0.00006032495,0.0001870022,0.000940826,0.0001149976,0.00008234451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008441673,0.00009450644,0.00003326439,0.00001440988,0.000004598758,0.00001177858,0.0006908348,0.8595889,0.03969208,0.0488078,0.0003025449,0.05075088],"study_design_scores_gemma":[0.00001619963,0.00006947895,0.000004721239,0.000008141744,0.000003125966,0.00008591348,0.000323334,0.8919202,0.08513553,0.01881155,0.003419776,0.000201995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007171771,0.0001249398,0.9896365,0.0004165573,0.0002915642,0.0002754419,0.000007954595,0.0006180294,0.00145724],"genre_scores_gemma":[0.86352,0.00002100032,0.1349338,0.0002203713,0.00003320603,0.0001117237,0.00000441283,0.00002057148,0.001134994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8563482,"threshold_uncertainty_score":0.7742364,"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."}}