{"id":"W4323345971","doi":"10.1109/access.2023.3250398","title":"Observer-Based Secure Control for Vehicular Platooning Under DoS Attacks","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denial-of-service attack; Computer science; Network packet; Observer (physics); Resilience (materials science); Computer network; Computer security; Real-time computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00124877,0.0009885629,0.0009598471,0.0004149351,0.0003842547,0.001075723,0.0008471305,0.0007951913,0.001029537],"category_scores_gemma":[0.002272777,0.0003001959,0.0005843722,0.000324319,0.00129076,0.0009362347,0.001244758,0.001136569,0.0001255485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008993972,"about_ca_system_score_gemma":0.0009447064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632873,"about_ca_topic_score_gemma":0.002224912,"domain_scores_codex":[0.9992158,0.0001929497,0.0000433743,0.00018164,0.0002325582,0.0001336186],"domain_scores_gemma":[0.9986038,0.0006367406,0.0003280947,0.00008451019,0.0002743154,0.00007266762],"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":[0.0001486089,0.0000327511,0.0004358314,0.0000890235,0.00003348936,0.0001159585,0.0001099175,0.9657516,0.005759848,0.01621806,0.0003167145,0.01098824],"study_design_scores_gemma":[0.00000798949,0.00003734654,0.00005057248,0.000002455746,0.000004738815,0.000004874799,0.000006150369,0.9978054,0.0004146377,0.0015394,0.0001232429,0.000003099675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01949198,0.0001856528,0.9783403,0.0001221723,0.00004576083,0.00003223689,0.00001892615,0.0001297403,0.001633262],"genre_scores_gemma":[0.9878483,0.0001635837,0.01060345,0.00002634205,0.00002915157,0.00005747013,0.00002856731,0.00001780836,0.001225274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004632873,"threshold_uncertainty_score":0.009211779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304742241220013,"score_gpt":0.2744242039654726,"score_spread":0.2413767815532724,"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."}}