{"id":"W2133585005","doi":"10.1002/sec.1155","title":"An effective behavior‐based Android malware detection system","year":2014,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Malware; Computer science; Android malware; Android (operating system); Naive Bayes classifier; Decision tree; Machine learning; System call; Artificial intelligence; Static analysis; Support vector machine; Malware analysis; Operating system; Data mining; Programming language","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":[0.0004955353,0.0008751192,0.000906244,0.003038718,0.0005273789,0.0007472468,0.0009024453,0.0006325666,0.001531436],"category_scores_gemma":[0.001741578,0.0003724655,0.0003950094,0.0005653074,0.0002128186,0.001245697,0.0007491944,0.0005080773,0.001480658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428742,"about_ca_system_score_gemma":0.0006736882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102032,"about_ca_topic_score_gemma":0.001608999,"domain_scores_codex":[0.9993016,0.00009163304,0.00007185983,0.0001750473,0.0003055163,0.0000543744],"domain_scores_gemma":[0.99855,0.0002808617,0.0001861415,0.0002082447,0.000660577,0.0001142158],"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":[0.001121315,0.001101103,0.03183414,0.0004352084,0.0002661779,0.001119014,0.0003600364,0.007537911,0.1704622,0.002068769,0.02307229,0.7606218],"study_design_scores_gemma":[0.0001279046,0.0006495137,0.02675976,0.00008495624,0.000260379,0.001946533,0.0001364151,0.8027259,0.1472897,0.001858564,0.01795693,0.0002034222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4343568,0.00156002,0.356277,0.000831136,0.0004127898,0.0009602699,0.001695459,0.1945271,0.009379418],"genre_scores_gemma":[0.8609626,0.0002258174,0.1317998,0.0004101101,0.00008944469,0.0001948945,0.001212331,0.0003801513,0.004724743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003038718,"threshold_uncertainty_score":0.005123138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003457833976353953,"score_gpt":0.2277099047449153,"score_spread":0.2242520707685613,"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."}}