{"id":"W3042274705","doi":"10.1109/jiot.2020.3010023","title":"IoT-Praetor: Undesired Behaviors Detection for IoT Devices","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Internet of Things; Construct (python library); Server; Computer security; Embedded system; Computer network","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":[0.001175309,0.001375036,0.0006928266,0.002239247,0.0003906323,0.0009242662,0.001177802,0.0007312765,0.001071143],"category_scores_gemma":[0.003827468,0.000496938,0.0009674159,0.0005950686,0.0004233511,0.001923953,0.001213097,0.0009117894,0.0009638747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788529,"about_ca_system_score_gemma":0.0006803591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012073,"about_ca_topic_score_gemma":0.002024066,"domain_scores_codex":[0.9978971,0.0002724527,0.0002523547,0.0004456914,0.0009974322,0.0001349176],"domain_scores_gemma":[0.9966524,0.0009152492,0.0007902231,0.0009104732,0.0006272953,0.000104294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101768,0.001257248,0.07891002,0.001335566,0.0004123479,0.003324981,0.001379111,0.02980218,0.1594682,0.01189516,0.02422081,0.6868927],"study_design_scores_gemma":[0.00006886201,0.0005530256,0.02197866,0.0001400197,0.000163212,0.003345157,0.0002551049,0.8015063,0.1444731,0.006805744,0.02053656,0.0001741457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07542747,0.0004256831,0.8505572,0.0002708664,0.0000886395,0.0007233276,0.001810236,0.06666924,0.004027361],"genre_scores_gemma":[0.6272004,0.0004572726,0.359327,0.0004300134,0.0000461134,0.0005865505,0.004467692,0.001373161,0.006111802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002239247,"threshold_uncertainty_score":0.006215751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305818355371133,"score_gpt":0.2865291237347275,"score_spread":0.2534709401810162,"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."}}