{"id":"W3035621718","doi":"10.1145/3571288","title":"CANOA: CAN Origin Authentication through Power Side-channel Monitoring","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Side channel attack; Channel (broadcasting); Authentication (law); Computer science; Power (physics); Computer security; Computer network; Cryptography; Physics","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":[0.00008865195,0.0002147652,0.0002426625,0.00008097655,0.00053167,0.00005337053,0.0003854178,0.00005988066,0.00003568687],"category_scores_gemma":[0.000009450925,0.0002179828,0.0001355539,0.0004583636,0.00004341311,0.0001726857,0.00001188217,0.0005176484,0.00007528513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438211,"about_ca_system_score_gemma":0.00003190222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009993197,"about_ca_topic_score_gemma":0.0000328817,"domain_scores_codex":[0.998546,0.00007989676,0.0002453452,0.0003036227,0.0004634689,0.0003616794],"domain_scores_gemma":[0.9991055,0.0001570729,0.00003727128,0.0005596194,0.00003446882,0.0001060459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002218132,0.0003946704,0.00007843027,0.00009583837,0.0001546123,0.00001976188,0.01222943,0.9723378,0.01181719,0.001254104,0.0003732636,0.001222746],"study_design_scores_gemma":[0.006855579,0.00296404,0.01389111,0.001182068,0.001127406,0.0005892596,0.06617436,0.4748029,0.1692463,0.01286415,0.2414958,0.008807038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668216,0.0002341236,0.02306163,0.0003507743,0.007029101,0.0004930982,0.0001382614,0.0006539472,0.001217542],"genre_scores_gemma":[0.9987918,0.00002467324,0.00004918506,0.00001662586,0.0003331813,0.0003697287,0.000008176612,0.00004595772,0.0003607201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975349,"threshold_uncertainty_score":0.8889078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967213479173395,"score_gpt":0.2458829286735233,"score_spread":0.2262107938817893,"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."}}