{"id":"W2900204506","doi":"10.1109/mascots.2018.00025","title":"Modeling, Analysis, and Characterization of Periodic Traffic on a Campus Edge Network","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Enhanced Data Rates for GSM Evolution; Computer network; Computer science; Traffic generation model; Campus network; Traffic analysis; Vulnerability (computing); Cloud computing; Airfield traffic pattern; Traffic classification; Computer security; Telecommunications; Quality of service; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007720127,0.0005625885,0.0003458038,0.001261245,0.0004811573,0.0008450228,0.0008830716,0.0006406188,0.0003586472],"category_scores_gemma":[0.003314667,0.0002400153,0.0003604888,0.0007716314,0.0006353965,0.001158736,0.0004474811,0.0005512019,0.00008295313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252089,"about_ca_system_score_gemma":0.0006985655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616498,"about_ca_topic_score_gemma":0.01062963,"domain_scores_codex":[0.9995228,0.0001475885,0.00002546225,0.0001108883,0.0001060959,0.00008719297],"domain_scores_gemma":[0.9983733,0.0008046519,0.0003213225,0.0001914252,0.0002376183,0.00007165853],"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":[0.0000606362,0.0001408991,0.04852149,0.00002553304,0.00002578172,0.0001981331,0.0002126566,0.9253169,0.004006291,0.00890084,0.0004890968,0.01210171],"study_design_scores_gemma":[5.018368e-7,0.000005726838,0.001826502,0.000001087301,0.000001650437,0.00001438854,0.00002870489,0.9970953,0.000254388,0.0007153593,0.00005444682,0.000001911977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114243,0.00010504,0.08593942,0.0001942516,0.000009647691,0.00005597125,0.0002262728,0.0002309265,0.00181415],"genre_scores_gemma":[0.9915501,0.00007011073,0.007879283,0.000009476583,0.000007956762,0.00002496885,0.0001343517,0.00001407593,0.0003096326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616498,"threshold_uncertainty_score":0.0321418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009594123450706043,"score_gpt":0.2194978002019252,"score_spread":0.2099036767512192,"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."}}