{"id":"W4417470019","doi":"10.1109/jiot.2025.3645938","title":"Neuro-Symbolic Intent-Based Intrusion Detection System for Internet of Medical Things","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Brandon University","funders":"","keywords":"Intrusion detection system; Benchmark (surveying); The Internet; Synchronization (alternating current); Limiting; Internet of Things; Vulnerability (computing); Intrusion prevention system; Limit (mathematics)","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":[0.0004573584,0.0005076351,0.000330468,0.000606366,0.0002476375,0.0005195801,0.0007800021,0.000397874,0.001316441],"category_scores_gemma":[0.001953043,0.0001584755,0.0004169967,0.0002534699,0.0003069619,0.0007953785,0.0007520568,0.0006942095,0.0003529813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007282794,"about_ca_system_score_gemma":0.0009036823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036206,"about_ca_topic_score_gemma":0.005492363,"domain_scores_codex":[0.9997324,0.00003731361,0.00002742505,0.00006676059,0.0001094897,0.00002658183],"domain_scores_gemma":[0.9994979,0.0001559828,0.00007853943,0.00006410783,0.0001741106,0.00002941925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007086442,0.0004561673,0.01370607,0.0002918568,0.0002371754,0.0007059363,0.000338442,0.1858832,0.05348581,0.01187386,0.009540058,0.7227728],"study_design_scores_gemma":[0.00001785133,0.0001061847,0.001659202,0.0000179473,0.00005401056,0.0001335567,0.0000295095,0.9738559,0.01488246,0.007412357,0.00181293,0.00001809426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1128491,0.0005111048,0.8660101,0.0009215851,0.0001437758,0.0001765123,0.0006222049,0.01349759,0.005267926],"genre_scores_gemma":[0.8208666,0.0002024813,0.1756609,0.0003641588,0.00002741154,0.0001081478,0.0007351417,0.00006793473,0.001967172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004036206,"threshold_uncertainty_score":0.008025467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412042600177481,"score_gpt":0.2574832240456932,"score_spread":0.2433627980439184,"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."}}