{"id":"W4412963720","doi":"10.1109/ntms65597.2025.11076670","title":"Enhancing IIoT Security with Deep Reinforcement Learning for Intrusion Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Reinforcement learning; Computer science; Intrusion detection system; Intrusion prevention system; Computer security; Network security; Artificial intelligence","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":[0.001295576,0.0008105684,0.0007351643,0.0003786079,0.0002533548,0.0006785719,0.0009593748,0.0007335799,0.0008337648],"category_scores_gemma":[0.003999946,0.000281068,0.0003575123,0.0002377917,0.0007091873,0.00104968,0.00114132,0.001370985,0.0002936149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007297321,"about_ca_system_score_gemma":0.0009909208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437092,"about_ca_topic_score_gemma":0.002807718,"domain_scores_codex":[0.9995078,0.0001403746,0.00002481691,0.0001101917,0.000128678,0.00008814156],"domain_scores_gemma":[0.9986299,0.0006511859,0.0002286,0.0001534309,0.0002522921,0.00008463299],"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":[0.0001305323,0.0002370366,0.003666591,0.00007679287,0.00005672637,0.0001195064,0.00005730709,0.8446791,0.01081985,0.003761988,0.001535402,0.1348591],"study_design_scores_gemma":[0.000003054116,0.00002262939,0.00008217034,0.000001970912,0.000002300159,0.000008640172,0.00000173843,0.9981176,0.001005491,0.0006331386,0.0001189237,0.00000243412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06081455,0.0003072774,0.9344668,0.0003361925,0.0000698279,0.00006488102,0.00003996266,0.00211301,0.001787444],"genre_scores_gemma":[0.927299,0.00009074918,0.07109541,0.0002039068,0.00002595271,0.00004977072,0.00006865438,0.00005324983,0.001113411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002437092,"threshold_uncertainty_score":0.006851792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00576965077723284,"score_gpt":0.2234249453715828,"score_spread":0.2176552945943499,"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."}}