{"id":"W4298443671","doi":"10.1109/csr54599.2022.9850299","title":"Powertrace-based Fuzzing of CAN Connected Hardware","year":2022,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzz testing; Computer science; Interrupt; Embedded system; Construct (python library); Instrumentation (computer programming); Computer security; Software; Computer network; Operating system; Computer hardware; Microcontroller","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":[0.001017241,0.0006140943,0.0004076289,0.001086405,0.0003478182,0.0009114926,0.001123721,0.0005243236,0.002059795],"category_scores_gemma":[0.008615136,0.0002804577,0.000450415,0.0003380452,0.001224907,0.001432016,0.0009642118,0.0007436795,0.0001954453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007537277,"about_ca_system_score_gemma":0.0006839911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081267,"about_ca_topic_score_gemma":0.001100977,"domain_scores_codex":[0.9981707,0.0002772053,0.00008907969,0.0004156504,0.000826739,0.000220521],"domain_scores_gemma":[0.9951197,0.0021837,0.0007327421,0.001348548,0.0004984462,0.0001168148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002304961,0.0003592291,0.0313963,0.0004917855,0.0003198986,0.001788416,0.0007677808,0.3403141,0.3343038,0.04679425,0.002502264,0.2386572],"study_design_scores_gemma":[0.00003797746,0.0003484793,0.002287783,0.00003247164,0.00005968201,0.0004269915,0.00004056235,0.7903026,0.1957683,0.009026648,0.001636275,0.00003224692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5521294,0.0002464725,0.4361193,0.0002526728,0.00008652051,0.0002335362,0.0001620006,0.006894709,0.003875322],"genre_scores_gemma":[0.9797907,0.00002921015,0.01934958,0.00005062521,0.000007367389,0.00003661943,0.00004514933,0.0000605942,0.000630068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002059795,"threshold_uncertainty_score":0.006890655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005875822572760109,"score_gpt":0.1727238420712566,"score_spread":0.1668480194984965,"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."}}