{"id":"W4402474975","doi":"10.1109/ccece59415.2024.10667139","title":"Towards Autonomous Network Defense: Reinforcement Learning Environment for a Defense Agent","year":2024,"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":"Defence Research and Development Canada; Queen's University","funders":"","keywords":"Reinforcement learning; Computer science; 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":[0.0009400334,0.000611709,0.0003756547,0.000239402,0.0003702632,0.0009703457,0.001619995,0.001141243,0.005204781],"category_scores_gemma":[0.001799661,0.0002875331,0.0004439024,0.0001071928,0.000802514,0.001040239,0.00139959,0.001617934,0.001078635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751802,"about_ca_system_score_gemma":0.0006784743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002156,"about_ca_topic_score_gemma":0.0008077641,"domain_scores_codex":[0.9995541,0.0001882501,0.00001972312,0.0001002951,0.00008393873,0.00005372888],"domain_scores_gemma":[0.9994001,0.0003041567,0.00006079904,0.00005410674,0.00009107923,0.00008982603],"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":[0.0005822501,0.0008158036,0.002230469,0.0002288664,0.00006519104,0.0005422061,0.0007715465,0.8110596,0.03526421,0.04566539,0.002828853,0.09994548],"study_design_scores_gemma":[0.00004844832,0.0001537841,0.0001416918,0.00001299759,0.000007394672,0.00004551463,0.00002249513,0.9861239,0.004003999,0.00623184,0.003197713,0.00001024325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02691217,0.00006100699,0.9649889,0.0002323844,0.0000376916,0.0001718452,0.00003924947,0.002248048,0.005308808],"genre_scores_gemma":[0.5021766,0.0001148032,0.4900822,0.000224043,0.00003453164,0.0005916352,0.00008484422,0.0001665157,0.006524801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005204781,"threshold_uncertainty_score":0.01741171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664168795685283,"score_gpt":0.231162051458195,"score_spread":0.2145203635013422,"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."}}