{"id":"W4390189529","doi":"10.1109/milcom58377.2023.10356292","title":"Constant Scaling Asymptotics of Communication Bounds in Covert Channels Against Selective Adversary","year":2023,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Tsinghua Shenzhen International Graduate School","keywords":"Code word; Binary number; Transmitter; Covert; Adversary; Mathematics; Constraint (computer-aided design); Adversary model; Computer science; Constant (computer programming); Upper and lower bounds; Distribution (mathematics); Simple (philosophy); Square root; Algorithm; Decoding methods; Computer network; Statistics; Arithmetic; Mathematical analysis","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":[0.00556998,0.002292394,0.001947268,0.002632031,0.001959309,0.003202447,0.002397328,0.001785267,0.006627927],"category_scores_gemma":[0.06497616,0.001008647,0.001199466,0.002010034,0.006597215,0.008954815,0.004931568,0.005495705,0.001403647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005485759,"about_ca_system_score_gemma":0.002002555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154004,"about_ca_topic_score_gemma":0.001493962,"domain_scores_codex":[0.9946004,0.001173116,0.0001360452,0.001009637,0.001847095,0.001233708],"domain_scores_gemma":[0.9316473,0.0567653,0.002723594,0.00463428,0.002986357,0.001243227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006341289,0.0002039804,0.003953802,0.0008580275,0.0002000402,0.0008632373,0.000992996,0.3259961,0.01704711,0.5904208,0.009662992,0.04916678],"study_design_scores_gemma":[0.00002257779,0.0001387566,0.001200458,0.0001533819,0.00006110717,0.0004824187,0.0001624627,0.7437832,0.004883185,0.2462302,0.002815165,0.00006701652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08918491,0.008090865,0.8361972,0.004202466,0.0004743387,0.0001586098,0.0005496053,0.00260833,0.05853364],"genre_scores_gemma":[0.9399592,0.004259524,0.04292011,0.001207764,0.0007573458,0.0004353864,0.0004135666,0.0007289661,0.009318156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006627927,"threshold_uncertainty_score":0.03980213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424044078501589,"score_gpt":0.248821991762997,"score_spread":0.2345815509779811,"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."}}