{"id":"W4400020772","doi":"10.1109/jiot.2024.3418859","title":"Enhancing Security in UAV-Assisted Image Data Collection for Internet of Things","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"National Natural Science Foundation of China-Guangdong Joint Fund; Fundamental Research Funds for the Central Universities","keywords":"Computer science; Internet of Things; Computer security; Data collection; Data security; Image (mathematics); The Internet; Computer vision; World Wide Web; Encryption","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":[0.0002082045,0.0002058688,0.0001675605,0.0002445287,0.0002556793,0.0003459994,0.0002079622,0.0003342123,0.0004496272],"category_scores_gemma":[0.0004921476,0.00008627212,0.0002305243,0.0002025261,0.0002654276,0.0006335809,0.0004557545,0.0002560054,0.000193987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620645,"about_ca_system_score_gemma":0.0001971258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000250879,"about_ca_topic_score_gemma":0.0003385242,"domain_scores_codex":[0.9998293,0.00003738298,0.000009253201,0.00001944522,0.00008076927,0.0000236945],"domain_scores_gemma":[0.9998341,0.00005354456,0.00002641007,0.00003780781,0.00004226782,0.000005844543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003473811,0.00009608563,0.003017287,0.0002694316,0.00005877985,0.0008763824,0.0003987057,0.0500344,0.6733459,0.03165052,0.00177816,0.238127],"study_design_scores_gemma":[0.00002330292,0.0003976813,0.003375129,0.0000563638,0.00003965038,0.002010972,0.0002544477,0.5587848,0.4129568,0.008545146,0.01351642,0.00003927344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2427707,0.0009527118,0.7466759,0.0003881102,0.00009282308,0.0000901997,0.00004966652,0.0003839286,0.008595997],"genre_scores_gemma":[0.8990805,0.0005625762,0.09843073,0.00006638045,0.00002090435,0.00002854293,0.00005367917,0.00001948715,0.001737255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0004496272,"threshold_uncertainty_score":0.001504183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702060065244232,"score_gpt":0.2985866924864949,"score_spread":0.2715660918340526,"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."}}