{"id":"W4293013238","doi":"10.1142/s0218126623500585","title":"AHDNN: Attention-Enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles","year":2022,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer security; Computer science; Hacker; Intrusion detection system; Confidentiality; Authentication (law); Computer network","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":[0.0003904546,0.0004978675,0.000359206,0.0003571405,0.0002252758,0.0004403163,0.001055126,0.0007004894,0.001287612],"category_scores_gemma":[0.0007912283,0.000232883,0.0004286703,0.0002633889,0.0003668705,0.0007928416,0.0007555665,0.001035176,0.0002347662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009296891,"about_ca_system_score_gemma":0.0008403391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653861,"about_ca_topic_score_gemma":0.0196038,"domain_scores_codex":[0.9998416,0.00002931334,0.000009001164,0.00003984934,0.00004067333,0.00003950173],"domain_scores_gemma":[0.9998423,0.00005296431,0.00001761198,0.0000114474,0.00005995075,0.00001568594],"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":[0.0001446086,0.0001360339,0.002253695,0.0001139215,0.0001007317,0.0001496868,0.00007243513,0.7678496,0.00802811,0.01000199,0.004399171,0.2067501],"study_design_scores_gemma":[0.000002869975,0.00002060412,0.0001436327,0.000004109023,0.000006888627,0.000008607509,0.000004540876,0.9961475,0.0007592848,0.002560219,0.0003387138,0.000002956755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06610807,0.001682604,0.9230906,0.0007502214,0.0001848341,0.00006874496,0.0003595647,0.001989899,0.005765446],"genre_scores_gemma":[0.9081184,0.0005586519,0.08415341,0.0003479593,0.00004595935,0.00006818571,0.0005083274,0.00005111644,0.006147991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01653861,"threshold_uncertainty_score":0.03288472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00706850095834917,"score_gpt":0.2017510931500673,"score_spread":0.1946825921917181,"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."}}