{"id":"W4409476737","doi":"10.1007/978-3-031-87778-0_4","title":"A Novel Approach to Automated Cybersecurity Response for Critical Infrastructures Using Graph Neural Networks and Reinforcement Learning","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reinforcement learning; Computer science; Artificial neural network; Computer 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":[0.0003290316,0.0005840971,0.0005483702,0.0003718027,0.0003156475,0.0006844133,0.001320734,0.0009616934,0.002884063],"category_scores_gemma":[0.0006939103,0.0002650768,0.0005031169,0.0003857485,0.0005683884,0.0008713225,0.0009553264,0.001105139,0.0003596153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322378,"about_ca_system_score_gemma":0.0008077456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005191503,"about_ca_topic_score_gemma":0.007118826,"domain_scores_codex":[0.9998199,0.00004526867,0.000008050278,0.00005174506,0.00005368897,0.00002130283],"domain_scores_gemma":[0.9997531,0.0001269871,0.00002030194,0.00002610933,0.00005674645,0.00001689946],"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":[0.00003332183,0.00008092044,0.0002204108,0.0000676182,0.00005469657,0.00007798394,0.00003825565,0.8672023,0.004038859,0.03243382,0.001968177,0.09378363],"study_design_scores_gemma":[0.000002331309,0.00000839928,0.00002265558,0.000001407874,0.000002724375,0.000006049434,0.000002080526,0.9940754,0.0002126125,0.005373543,0.0002912297,0.000001496638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005487827,0.0001635706,0.9901636,0.0002074772,0.00006126455,0.00003766036,0.00002216176,0.0003250683,0.003531202],"genre_scores_gemma":[0.5135391,0.0004532574,0.4722943,0.0002470709,0.0001487843,0.0001814608,0.000114487,0.0001190368,0.01290255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005191503,"threshold_uncertainty_score":0.01032257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194945560646968,"score_gpt":0.2749595791781395,"score_spread":0.2430101235716698,"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."}}