{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006287639,0.001165177,0.0006151928,0.001847298,0.0005589654,0.001464733,0.001540158,0.0007231837,0.00566972],"category_scores_gemma":[0.00323236,0.000267825,0.0002489879,0.0009687468,0.0005123121,0.001487456,0.001520267,0.0007274907,0.00292706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005737058,"about_ca_system_score_gemma":0.001144086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482573,"about_ca_topic_score_gemma":0.003409663,"domain_scores_codex":[0.998844,0.0001377534,0.00005599101,0.0002558391,0.0005319783,0.0001743608],"domain_scores_gemma":[0.9978279,0.0002491143,0.0003879,0.0006416055,0.0007131443,0.0001803471],"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":[0.002762814,0.0006844702,0.03527291,0.0009954557,0.0002786069,0.001475778,0.000698929,0.05471046,0.1048563,0.01660184,0.059166,0.7224964],"study_design_scores_gemma":[0.0002064204,0.0007373111,0.009182502,0.0001329454,0.0001553543,0.001506816,0.0002391674,0.7588454,0.1543237,0.007668299,0.06684221,0.0001598096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07547919,0.0009361851,0.8281152,0.0003954421,0.0005791187,0.0006080931,0.0006879488,0.05825594,0.03494282],"genre_scores_gemma":[0.9137672,0.0002560119,0.07417849,0.0002200202,0.0001158868,0.0001960797,0.0005528032,0.0005393383,0.01017428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00566972,"threshold_uncertainty_score":0.01896709,"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."}}