{"id":"W4414229539","doi":"10.1109/jiot.2025.3610367","title":"EIDS-DTL: Edge-Based Intrusion Detection System for IoUAVs Using Metaheuristic Task Optimization and Deep Transfer Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Intrusion detection system; Edge computing; Benchmark (surveying); Transfer of learning; Edge device; Enhanced Data Rates for GSM Evolution; Metaheuristic; Feature extraction; Deep learning","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":[0.0004621721,0.0009215847,0.0006579671,0.0005848182,0.000312547,0.0006041342,0.001351064,0.0008162954,0.001034367],"category_scores_gemma":[0.001103531,0.000297718,0.000610217,0.0003670101,0.0004494615,0.001029175,0.00127275,0.001176581,0.0004106733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009109866,"about_ca_system_score_gemma":0.0009390161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004701448,"about_ca_topic_score_gemma":0.005004779,"domain_scores_codex":[0.9997106,0.00004476417,0.00001716905,0.00009361249,0.00007796764,0.00005593627],"domain_scores_gemma":[0.999718,0.00008356015,0.0000507078,0.00003416678,0.0000862753,0.00002733358],"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":[0.000268684,0.0003979727,0.00439866,0.0001071418,0.0001228037,0.0001716644,0.0000947814,0.6412865,0.01605975,0.002715353,0.006234484,0.3281422],"study_design_scores_gemma":[0.000007929461,0.00003173975,0.0001600402,0.000001845052,0.000003986735,0.00001012658,0.000005184565,0.997051,0.001864061,0.0005385638,0.0003213134,0.000004200532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07666434,0.0003150194,0.9109362,0.0003178727,0.00008828691,0.0001365583,0.0002062024,0.008482319,0.002853166],"genre_scores_gemma":[0.7561873,0.0001330903,0.2375336,0.0005713011,0.00003602422,0.0002783962,0.0007866879,0.0002392178,0.004234375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004701448,"threshold_uncertainty_score":0.009348154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084091299580566,"score_gpt":0.2333897619669538,"score_spread":0.2225488489711481,"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."}}