{"id":"W2966065488","doi":"10.3390/s19153362","title":"Automated Vulnerability Discovery and Exploitation in the Internet of Things","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Exploit; Vulnerability (computing); Fuzz testing; Vulnerability management; Scheduling (production processes); Computer security; Software; Vulnerability assessment; Distributed computing; The Internet; Task (project management); World Wide Web; Engineering; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002882826,0.0000487558,0.00007361149,0.00005816214,0.00000991611,0.00003346586,0.0001939527,0.00002454114,0.000001553243],"category_scores_gemma":[0.00007001634,0.00003474679,0.00001501577,0.0001767656,0.00002972279,0.000619835,0.00006116413,0.00007870828,0.000003014109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639586,"about_ca_system_score_gemma":0.00000578509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008206165,"about_ca_topic_score_gemma":0.000005488212,"domain_scores_codex":[0.9994583,0.00009050946,0.000125901,0.0001541388,0.0001032126,0.00006796756],"domain_scores_gemma":[0.9995143,0.000146785,0.00005909815,0.0002472487,0.00002453962,0.000007960708],"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":[0.0002532876,0.0007122628,0.1042654,0.0007605895,0.00007004625,0.00005216597,0.214093,0.007400104,0.1387915,0.3171979,0.001468368,0.2149353],"study_design_scores_gemma":[0.0005118161,0.0004073664,0.1098246,0.00009947411,0.000003626372,0.00003542591,0.001732335,0.6575652,0.1879386,0.04113294,0.0004441254,0.0003044169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255333,0.000008230528,0.07353946,0.0001525056,0.00005813991,0.0001499169,2.910637e-7,0.0002254565,0.0003326985],"genre_scores_gemma":[0.9872504,0.000003034524,0.01255516,0.00009985427,0.000002418367,0.000005435958,3.401769e-7,0.00000250265,0.00008079624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6501651,"threshold_uncertainty_score":0.1416933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047777414388362,"score_gpt":0.2614966263343665,"score_spread":0.2510188521904829,"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."}}