{"id":"W4406892221","doi":"10.1109/csnet64211.2024.10851474","title":"Dynamic Defense Framework: A Unified Approach for Intrusion Detection and Mitigation in SDN","year":2024,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Intrusion detection system; Intrusion prevention system; Computer security; Risk analysis (engineering); Business","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":[0.0007342408,0.0006460472,0.0005451953,0.0008693575,0.0003239312,0.0007889873,0.001043252,0.0005806888,0.001171533],"category_scores_gemma":[0.0007482286,0.0001760364,0.000526581,0.0005266301,0.0004147607,0.001296572,0.001095402,0.00085113,0.0002192843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007959305,"about_ca_system_score_gemma":0.001479523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042118,"about_ca_topic_score_gemma":0.008473405,"domain_scores_codex":[0.9996626,0.00006633276,0.00001979638,0.00008573641,0.000113715,0.00005178071],"domain_scores_gemma":[0.9998569,0.00002835511,0.00002113934,0.00001764977,0.00006024278,0.00001570521],"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":[0.0001045477,0.000110348,0.002245341,0.0001329706,0.0001293686,0.0001565105,0.0001012673,0.5263256,0.009478659,0.05109869,0.004728873,0.4053878],"study_design_scores_gemma":[0.000003353415,0.00003182169,0.0001789551,0.000007661797,0.000008982646,0.00003096717,0.00001270567,0.9909437,0.0008698417,0.005942575,0.001962781,0.000006612596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00501109,0.0005704903,0.9922405,0.0001610974,0.00004955052,0.00003216458,0.00004337887,0.0005879931,0.001303641],"genre_scores_gemma":[0.5094737,0.001497706,0.4834587,0.0003176763,0.0001594628,0.0001895636,0.0004342813,0.0001222556,0.004346726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008042118,"threshold_uncertainty_score":0.01599061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084466058320219,"score_gpt":0.2425940869605923,"score_spread":0.2317494263773901,"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."}}