{"id":"W4385688632","doi":"10.1109/dsn58367.2023.00043","title":"SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spoofing attack; Swarm behaviour; Drone; Computer science; Fuzz testing; Exploit; Computer security; Swarm robotics; Swarm intelligence; Artificial intelligence; Machine learning; Particle swarm optimization","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":[0.0008141346,0.001016369,0.0006410895,0.0009602921,0.0005544953,0.0007791496,0.0008740704,0.0009760862,0.0009791515],"category_scores_gemma":[0.003324906,0.0003532552,0.0005390263,0.0003737024,0.0007426207,0.001227655,0.0009402999,0.0006942539,0.0001410584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349852,"about_ca_system_score_gemma":0.0006352082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00891649,"about_ca_topic_score_gemma":0.006516931,"domain_scores_codex":[0.9996967,0.00007007959,0.0000173162,0.00007292922,0.00009972826,0.00004331149],"domain_scores_gemma":[0.9988397,0.000670093,0.0001517274,0.0001482772,0.0001197846,0.00007047311],"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":[0.0002221302,0.0001144906,0.01167866,0.0001478742,0.0001225441,0.000265412,0.0002339411,0.9099463,0.009200276,0.006112326,0.002236114,0.05971992],"study_design_scores_gemma":[0.00001537559,0.00005953926,0.0008458186,0.000007302522,0.000008565804,0.00004603476,0.00003767994,0.9944705,0.002194472,0.00176414,0.0005442314,0.000006340627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219267,0.0008109211,0.4652447,0.0005149668,0.00008365663,0.0002235566,0.0004503494,0.0067009,0.004044286],"genre_scores_gemma":[0.8876808,0.0001543937,0.1106692,0.00007300733,0.00001197783,0.00005601506,0.0004072366,0.0001150083,0.0008323403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00891649,"threshold_uncertainty_score":0.01772922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00840775925653578,"score_gpt":0.215800542316269,"score_spread":0.2073927830597332,"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."}}