{"id":"W4406135379","doi":"10.1016/j.iot.2025.101492","title":"HYRIDE: HYbrid and Robust Intrusion DEtection approach for enhancing cybersecurity in Industry 4.0","year":2025,"lang":"en","type":"article","venue":"Internet of Things","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Intrusion detection system; Computer science; Intrusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010496,0.001081211,0.001078795,0.002015683,0.0003338563,0.0007769964,0.001099218,0.0006603058,0.0006315708],"category_scores_gemma":[0.00151279,0.0002877053,0.0009742252,0.0008593344,0.0003036883,0.001270207,0.001065856,0.0008751695,0.000412639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936673,"about_ca_system_score_gemma":0.0005769386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703948,"about_ca_topic_score_gemma":0.003625454,"domain_scores_codex":[0.9991646,0.0001300055,0.00006132165,0.0002204894,0.0003249027,0.00009870624],"domain_scores_gemma":[0.9995157,0.0001304236,0.00008908274,0.00006732415,0.0001628854,0.0000345991],"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":[0.0005024,0.001009105,0.02615227,0.0003145841,0.0003992909,0.0005331426,0.0002603891,0.1169487,0.06130775,0.002202074,0.01470655,0.7756637],"study_design_scores_gemma":[0.00002925299,0.0002681385,0.006307002,0.00001245343,0.00004554953,0.0002592167,0.00005837141,0.9670355,0.01993189,0.001464674,0.004554002,0.00003394927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798391,0.00127587,0.790231,0.0005438685,0.0001508164,0.0004729977,0.001170644,0.02389163,0.002424011],"genre_scores_gemma":[0.6606509,0.0004604156,0.3299673,0.0003423205,0.00005717085,0.000286106,0.003788303,0.0002694163,0.004178132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002703948,"threshold_uncertainty_score":0.005376458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100527506990367,"score_gpt":0.2305706051007492,"score_spread":0.2195653300308455,"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."}}