{"id":"W2120152316","doi":"10.1109/pst.2008.15","title":"Investigating Two Different Approaches for Encrypted Traffic Classification","year":2008,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Encryption; Traffic classification; Computer science; Data mining; Traffic generation model; Expert system; Machine learning; Artificial intelligence; Real-time computing; Computer network","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":[0.005244132,0.0008796415,0.0008926658,0.00246422,0.0004041939,0.00262662,0.001556114,0.002095582,0.001773327],"category_scores_gemma":[0.01782876,0.0004191743,0.0007959957,0.0009931703,0.0006590597,0.002323086,0.001176896,0.001158485,0.000837088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738143,"about_ca_system_score_gemma":0.001202225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216777,"about_ca_topic_score_gemma":0.002984928,"domain_scores_codex":[0.9945878,0.001918599,0.000315329,0.0007656472,0.002019742,0.0003928006],"domain_scores_gemma":[0.9885858,0.005478743,0.0005864129,0.001092489,0.003925845,0.0003307268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003622614,0.002319996,0.03816609,0.0008099979,0.0007656625,0.0002547627,0.0008723122,0.08294974,0.06486735,0.01451138,0.002428118,0.788432],"study_design_scores_gemma":[0.0003391284,0.002744231,0.0197276,0.0001014089,0.0003296116,0.0007205324,0.0006099482,0.8499884,0.1084721,0.01080301,0.005897542,0.0002663675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2555805,0.0006319181,0.7344791,0.0004312925,0.0001694461,0.001039759,0.0002313643,0.001822923,0.005613673],"genre_scores_gemma":[0.666039,0.0003359319,0.3276854,0.0003844909,0.00009231747,0.0004026405,0.0004308322,0.00008865799,0.004540677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005244132,"threshold_uncertainty_score":0.02773398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035897250072523,"score_gpt":0.2624163395211468,"score_spread":0.1588266145138945,"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."}}