{"id":"W4221034053","doi":"10.3390/electronics11060952","title":"Two-Layer Bus-Independent Instruction Set Architecture for Securing Long Protocol Data Units in Automotive Open System Architecture-Based Automotive Electronic Control Units","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Embedded system; Byte; FlexRay; AUTOSAR; Frame (networking); Instruction set; Hash function; Automotive industry; Computer hardware; Controller (irrigation); Data transmission; Computer network; Operating system; Software; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003994935,0.0005956417,0.0002949448,0.0008213921,0.0003637991,0.0007242937,0.001514211,0.0004003091,0.002309435],"category_scores_gemma":[0.000573691,0.0003082466,0.0003454384,0.0005076973,0.0004162135,0.001392672,0.0007457187,0.0009369507,0.0007627684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280647,"about_ca_system_score_gemma":0.0008063053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006884243,"about_ca_topic_score_gemma":0.001117432,"domain_scores_codex":[0.999469,0.00007749916,0.00005737036,0.00007842706,0.0002318566,0.00008585529],"domain_scores_gemma":[0.9993149,0.00008735259,0.0001290146,0.0002156569,0.0002158582,0.00003717799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009223748,0.0005287103,0.00612833,0.0007488974,0.0002308536,0.000621662,0.0006641836,0.04876618,0.5029706,0.05779541,0.007803016,0.3728198],"study_design_scores_gemma":[0.0001174146,0.002105483,0.003289684,0.00009409183,0.0002243674,0.000572998,0.0001563266,0.4573979,0.485561,0.005274456,0.04509202,0.0001141862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2369334,0.00124124,0.7472963,0.0002116326,0.0001687759,0.0002277961,0.00007615556,0.005173018,0.008671606],"genre_scores_gemma":[0.806729,0.0003869013,0.1866726,0.0001959591,0.00006039297,0.0001711984,0.000282102,0.0001376875,0.005364195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002309435,"threshold_uncertainty_score":0.007725835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872459991865326,"score_gpt":0.3209004362139948,"score_spread":0.2821758362953416,"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."}}