{"id":"W7093078467","doi":"10.1007/978-981-95-1050-4_17","title":"RL-Enhanced LLMs and Rechargeable Jamming Mines: Achieving Zero-Trust Security for Hierarchical Drone Swarms","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Jamming; Drone; Exploit; Leverage (statistics); Base station; Channel (broadcasting); Block (permutation group theory); Enhanced Data Rates for GSM Evolution; Swarm behaviour","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":[0.0007038882,0.0005909247,0.0005610511,0.0002178541,0.0003270158,0.0007583928,0.0009891395,0.0005423459,0.0009826584],"category_scores_gemma":[0.002424365,0.000237397,0.0004002671,0.0001277639,0.0009671137,0.001018069,0.001574117,0.0009289326,0.0002347196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004739465,"about_ca_system_score_gemma":0.0006671005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002651544,"about_ca_topic_score_gemma":0.002079385,"domain_scores_codex":[0.9995028,0.0001483216,0.00002420767,0.0001073335,0.0001181573,0.00009921189],"domain_scores_gemma":[0.998913,0.0004430449,0.0001957273,0.0001842862,0.0001687706,0.00009516661],"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":[0.0001101798,0.00006007923,0.001250415,0.00007693174,0.00004273757,0.0001705518,0.0001528202,0.9403619,0.01745945,0.0173161,0.0006692749,0.02232963],"study_design_scores_gemma":[0.000004926764,0.00002960742,0.00007023113,0.000002413128,0.000002960074,0.00001126409,0.00001344583,0.9962144,0.0008500578,0.002600169,0.0001957912,0.0000046412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08589197,0.0002187633,0.9094167,0.0002952833,0.00004350041,0.00004276706,0.0000320829,0.0004392066,0.00361973],"genre_scores_gemma":[0.9808053,0.00005037123,0.01802031,0.00006841868,0.00001278425,0.00002712718,0.00002089087,0.00001993124,0.0009749537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002651544,"threshold_uncertainty_score":0.005272269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351325398838676,"score_gpt":0.2636008431722174,"score_spread":0.2400875891838307,"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."}}