{"id":"W3105262431","doi":"10.22215/etd/2020-14182","title":"Mitigating Security Problems in Virtualized Networks Through Resource Management","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Virtualization; Computer security; Computer science; Denial-of-service attack; Network virtualization; Virtual network; Network management; Service provider; Software-defined networking; Network security; Service virtualization; Computer network; The Internet; Cloud computing; Service (business); Data virtualization; Business; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003024127,0.0004168242,0.0005084777,0.0001054553,0.0001280784,0.0003069557,0.001248444,0.0003397395,0.00004330858],"category_scores_gemma":[0.00002545005,0.0004045476,0.0001568543,0.001117791,0.00001796256,0.0003020263,0.0003029182,0.0007071613,0.00003383989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054208,"about_ca_system_score_gemma":0.00003752861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222851,"about_ca_topic_score_gemma":0.0003309002,"domain_scores_codex":[0.99718,0.0001372347,0.0006621981,0.001007436,0.0004728276,0.0005402499],"domain_scores_gemma":[0.9987631,0.0001615239,0.000290118,0.0006339892,0.00004546801,0.0001058092],"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":[0.0001226938,0.0003991537,0.001005032,0.001807509,0.0004081231,0.0004484619,0.03825522,0.0500221,0.000008861572,0.6991914,0.08427237,0.1240591],"study_design_scores_gemma":[0.002975831,0.0002561909,0.001829489,0.002880772,0.00009459897,0.000009898881,0.003408085,0.7468034,0.00009464731,0.075572,0.1635443,0.002530807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002215733,0.003307337,0.6234289,0.0009367809,0.001770408,0.002046595,0.000003078037,0.001609774,0.3646814],"genre_scores_gemma":[0.6727241,0.00333862,0.2725529,0.01456741,0.001978717,0.001643711,0.003915686,0.0004949869,0.02878392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6967813,"threshold_uncertainty_score":0.9998406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252130788991822,"score_gpt":0.2416118234286712,"score_spread":0.229090515538753,"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."}}