{"id":"W4401371280","doi":"10.1016/j.iot.2024.101320","title":"The revolution and vision of explainable AI for Android malware detection and protection","year":2024,"lang":"en","type":"article","venue":"Internet of Things","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Key Scientific Instrument and Equipment Development Projects of China; Guangdong Provincial Pearl River Talents Program; Distinguished Young Scholar Foundation of Hunan Province; Leading Talents Program of Guangdong Province; Guangzhou Science, Technology and Innovation Commission; National Aerospace Science Foundation of China; Department of Natural Resources of Guangdong Province","keywords":"Malware; Android (operating system); Computer science; Computer security; Artificial intelligence; Machine learning; Denial-of-service attack; Mobile malware; Botnet; Internet privacy; The Internet; World Wide Web; 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":[0.002668181,0.001304786,0.000727394,0.001724771,0.001091257,0.004234902,0.00215086,0.003084831,0.005732092],"category_scores_gemma":[0.01185887,0.0006034583,0.001479088,0.0006627344,0.008182495,0.01021359,0.002878128,0.006280551,0.001630414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800271,"about_ca_system_score_gemma":0.001362654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717264,"about_ca_topic_score_gemma":0.001171901,"domain_scores_codex":[0.9977044,0.0007205344,0.00009660135,0.0004110547,0.0009310146,0.000136433],"domain_scores_gemma":[0.9902207,0.005941218,0.0004761199,0.002126168,0.001033387,0.0002024505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006841903,0.00006430285,0.0006880769,0.0004978595,0.00007547268,0.0001439492,0.0005076338,0.008243779,0.005322198,0.9130551,0.007369484,0.0639637],"study_design_scores_gemma":[0.00002217077,0.00007890503,0.0004365397,0.0002357123,0.00004679277,0.0002910162,0.0001405744,0.06193289,0.00460902,0.866153,0.0659928,0.00006061582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01190623,0.009816738,0.8931741,0.028778,0.001584755,0.0001477675,0.0003534866,0.002858856,0.05138003],"genre_scores_gemma":[0.5203757,0.01137718,0.4310885,0.006612948,0.002493199,0.0003820678,0.000529795,0.0008452933,0.02629524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005732092,"threshold_uncertainty_score":0.01917577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007392074920776553,"score_gpt":0.2703693446864181,"score_spread":0.2629772697656416,"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."}}