{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007621244,0.0000754716,0.00007734545,0.0001282568,0.00002820507,0.00002898331,0.000071936,0.00003849504,0.00009556549],"category_scores_gemma":[0.000005362424,0.00007636573,0.00001892327,0.0005974765,0.000006919907,0.000134154,0.00002835099,0.00007006501,0.0003166421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004584061,"about_ca_system_score_gemma":0.000004246489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005378028,"about_ca_topic_score_gemma":0.0001008888,"domain_scores_codex":[0.9994995,0.000003122253,0.0001401813,0.0001097056,0.00006666427,0.0001808325],"domain_scores_gemma":[0.9997964,0.00001940624,0.000007841259,0.0001404596,0.000006790347,0.00002914126],"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":[8.439231e-7,0.000006589103,0.002751172,0.00001900801,0.000004766368,0.000002623873,0.0002079812,0.9881275,0.001904129,0.001108336,0.001055057,0.00481194],"study_design_scores_gemma":[0.0002164929,0.000004653364,0.01741768,0.00001914026,0.000003007269,0.000001132179,0.000195079,0.9742914,0.003102887,0.0002839016,0.004284295,0.000180259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8535274,0.00005901543,0.1189157,0.0001641765,0.0001580486,0.0001809646,0.000003600927,0.001106756,0.02588431],"genre_scores_gemma":[0.9965436,0.0001609138,0.002290326,0.00001731662,0.00004261864,0.00004222634,0.00003242497,0.0000274485,0.0008431532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1430161,"threshold_uncertainty_score":0.4069899,"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."}}