{"id":"W3043610302","doi":"","title":"Lightweight Authenticated Encryption for Vehicle Controller Area Network","year":2020,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University","keywords":"Authenticated encryption; Encryption; Computer science; Computer network; Computer security; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550306,0.0003274335,0.0004262694,0.0004605925,0.0006553436,0.00111656,0.0005683324,0.0005437788,0.004883556],"category_scores_gemma":[0.002252892,0.0002597158,0.0002717644,0.0004534716,0.0003673006,0.00202755,0.001395424,0.001090771,0.001669744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896913,"about_ca_system_score_gemma":0.001122511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090539,"about_ca_topic_score_gemma":0.0007385661,"domain_scores_codex":[0.9987655,0.0003036672,0.0000932455,0.000116465,0.0005202547,0.0002008542],"domain_scores_gemma":[0.9981936,0.0004401192,0.0001185348,0.0007828273,0.0004085347,0.0000564827],"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":[0.001293371,0.0004202102,0.001625461,0.000457748,0.0001114122,0.0005550095,0.0006296298,0.08798514,0.1085656,0.2969772,0.03539929,0.4659799],"study_design_scores_gemma":[0.0001644628,0.0005619648,0.00135474,0.0001515961,0.00008876537,0.000736275,0.0002789837,0.680665,0.09039122,0.1406296,0.08489271,0.00008468224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07230987,0.002187368,0.8938702,0.0007343002,0.0004821476,0.0003279265,0.0004537031,0.002776151,0.02685834],"genre_scores_gemma":[0.8521631,0.0008748329,0.1168978,0.00018226,0.0001729652,0.0002271713,0.0009748359,0.0001844,0.02832276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004883556,"threshold_uncertainty_score":0.01633716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005369407040267074,"score_gpt":0.1678036098504309,"score_spread":0.1624342028101638,"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."}}