{"id":"W6989306044","doi":"","title":"Android botnet detection using signature&#13;\\ndata and Ensemble Machine Learning","year":2020,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Botnet; Classifier (UML); Android (operating system); Ensemble learning; Malware; Statistical classification; Permission","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003445361,0.0003878623,0.0004882305,0.000510908,0.0002750176,0.00006417221,0.0005022954,0.0004082322,0.00002404042],"category_scores_gemma":[0.0002959147,0.0004216428,0.0001244606,0.000801621,0.00004633407,0.0006535652,0.0001078428,0.0008106939,0.000004609892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464138,"about_ca_system_score_gemma":0.0002642563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005798174,"about_ca_topic_score_gemma":0.000319653,"domain_scores_codex":[0.9974399,0.0001221651,0.0005729632,0.0007402216,0.0008738834,0.000250853],"domain_scores_gemma":[0.9982916,0.0002060921,0.0006027449,0.0002524288,0.0005216625,0.0001254632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004486388,0.001063169,0.001032321,0.004346919,0.001625157,0.000542113,0.007585119,0.01352875,0.7338183,0.07725637,0.004802289,0.1499131],"study_design_scores_gemma":[0.003141514,0.001717398,0.003987018,0.0006256265,0.0002041573,0.0004777216,0.0004023331,0.5520254,0.3779813,0.03258208,0.02464064,0.002214847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184253,0.004160994,0.8665628,0.0003488637,0.00148885,0.001680616,0.0007536499,0.001394467,0.005184475],"genre_scores_gemma":[0.9735672,0.0002645062,0.02428226,0.00007222245,0.0001297036,0.00003591487,0.0005058262,0.00005642874,0.001085889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.855142,"threshold_uncertainty_score":0.9998235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691190170765377,"score_gpt":0.2663543982752828,"score_spread":0.2494424965676291,"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."}}