{"id":"W4205705974","doi":"10.3390/drones6010014","title":"Anonymous Mutual and Batch Authentication with Location Privacy of UAV in FANET","year":2022,"lang":"en","type":"article","venue":"Drones","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mutual authentication; Drone; Overhead (engineering); Authentication (law); Computer network; Wireless ad hoc network; Vehicular ad hoc network; Mobile ad hoc network; Computer security; Message authentication code; Cryptography; Wireless; Network packet; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004655154,0.00003812514,0.00004975254,0.00005866434,0.00002808832,0.00000526844,0.00003984203,0.00001194543,0.00002790105],"category_scores_gemma":[0.000002545701,0.0000394993,0.000003307374,0.0002138045,0.00001297847,0.00005054875,0.00001523782,0.00003574122,0.000001453276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414202,"about_ca_system_score_gemma":0.000007896697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000348387,"about_ca_topic_score_gemma":0.00002267366,"domain_scores_codex":[0.9997255,0.000007905249,0.00008910404,0.0000662142,0.00006158867,0.00004964302],"domain_scores_gemma":[0.9998507,0.00001070612,0.00001964371,0.00009364315,0.00001521313,0.00001005768],"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":[0.00003481838,0.0001528108,0.02959501,0.0001636903,0.00002271416,0.000001075453,0.008108968,0.9266964,0.008385663,0.009510154,0.0002705376,0.01705822],"study_design_scores_gemma":[0.0005671845,0.00009393802,0.1183993,0.00001382252,0.00001799439,0.00001089371,0.0008317186,0.874935,0.001906664,0.0004362251,0.00261311,0.0001740994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797404,0.0001362679,0.01954875,0.00006929333,0.00001740321,0.0001464065,0.000005158979,0.00003894966,0.0002973961],"genre_scores_gemma":[0.9980948,0.00002153986,0.001689588,0.000004106433,0.000006387366,0.00007176748,0.00005270917,0.00000866942,0.00005044539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08880431,"threshold_uncertainty_score":0.1610735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002854105921230097,"score_gpt":0.1621193634928434,"score_spread":0.1592652575716133,"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."}}