{"id":"W1490597296","doi":"10.1109/inm.2015.7140374","title":"Security function virtualization in software defined infrastructure","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Testbed; Computer science; Virtualization; Scalability; Modular design; Software security assurance; Operating system; Network security; Deep packet inspection; Software-defined networking; Network packet; Operating expense; Software; Intrusion detection system; Embedded system; Computer network; Computer security; Cloud computing security; Cloud computing","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":[0.002143684,0.0005657484,0.0003419016,0.0005131398,0.0006848299,0.002480913,0.001794862,0.0006955283,0.001016889],"category_scores_gemma":[0.002464256,0.0004340227,0.0005090965,0.0004211582,0.001983738,0.003592698,0.001781283,0.002134307,0.0002869091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608313,"about_ca_system_score_gemma":0.001265382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599021,"about_ca_topic_score_gemma":0.001024997,"domain_scores_codex":[0.9977762,0.0007409226,0.0001431423,0.0002582533,0.0007313748,0.0003501406],"domain_scores_gemma":[0.9986925,0.0003362537,0.0001207653,0.0005578185,0.0001892817,0.0001035016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002512852,0.0002335682,0.002944166,0.000331053,0.00008348512,0.0004133815,0.000815892,0.07072589,0.0387393,0.7867664,0.002842295,0.09585326],"study_design_scores_gemma":[0.00009325489,0.0008146862,0.002134895,0.0002699704,0.0001349304,0.0008485361,0.0003489954,0.6410569,0.08631539,0.1488898,0.1189756,0.0001170964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06054772,0.0009934673,0.9225507,0.0006119194,0.0002166515,0.0001571968,0.00003193005,0.001577054,0.01331337],"genre_scores_gemma":[0.7158551,0.0006072132,0.2790409,0.0003135564,0.00007629355,0.0002183743,0.00008426213,0.0001853989,0.003619041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002480913,"threshold_uncertainty_score":0.01166916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351595976112193,"score_gpt":0.2212584990040036,"score_spread":0.2077425392428817,"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."}}