{"id":"W4412375702","doi":"10.1109/tcomm.2025.3587046","title":"Enhancing Resilience Against Jamming Attacks: A Cooperative Anti-Jamming Method Using Direction Estimation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Jamming; Resilience (materials science); Computer science; Electronic engineering; Computer security; Computer network; Engineering; Physics","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":[0.0004941756,0.0006101043,0.000442739,0.00053479,0.0003277411,0.0003839241,0.0006432912,0.0006145004,0.0005482007],"category_scores_gemma":[0.00183313,0.000247757,0.0003921343,0.0004054226,0.0004030333,0.0008263136,0.000815394,0.0005464983,0.0002946533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208857,"about_ca_system_score_gemma":0.0004180253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004533311,"about_ca_topic_score_gemma":0.0006798313,"domain_scores_codex":[0.9996327,0.0001130533,0.00001408107,0.00007431118,0.0001238283,0.00004204636],"domain_scores_gemma":[0.999332,0.0002419132,0.000104174,0.0001028407,0.0001770687,0.00004200382],"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":[0.0003310493,0.0001896992,0.001891247,0.0001448384,0.00009470294,0.0002854201,0.0003824544,0.1720223,0.2691471,0.02149667,0.001278359,0.5327362],"study_design_scores_gemma":[0.00002802243,0.000353081,0.0007644828,0.00001218118,0.00003717438,0.0004805404,0.00007676084,0.9634058,0.02837928,0.003345707,0.003072814,0.00004411777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01889975,0.0001394875,0.9795385,0.00006649007,0.00003185243,0.00001689735,0.000005473162,0.00019263,0.001108893],"genre_scores_gemma":[0.5901673,0.0003779673,0.4065559,0.0001075393,0.00008224411,0.00005806153,0.00003391625,0.0000423686,0.002574692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006432912,"threshold_uncertainty_score":0.002613544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985886513931725,"score_gpt":0.3414343569913991,"score_spread":0.3115754918520819,"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."}}