{"id":"W158006909","doi":"10.1007/978-3-642-31537-4_45","title":"Machine Learning-Based Classification of Encrypted Internet Traffic","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; The Internet; Artificial intelligence; Traffic classification; Internet traffic; World Wide Web; Computer network","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":[0.001290296,0.000512568,0.0006821391,0.001030624,0.000112466,0.0002353215,0.002914929,0.000349919,0.00009739813],"category_scores_gemma":[0.0001080816,0.0004528414,0.0002746796,0.0006495978,0.0005436275,0.0003732482,0.000493774,0.001063073,0.00005062526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248953,"about_ca_system_score_gemma":0.0003121304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001625203,"about_ca_topic_score_gemma":0.0001157565,"domain_scores_codex":[0.9962881,0.00008818637,0.0008388967,0.001166407,0.001015372,0.0006031012],"domain_scores_gemma":[0.9976533,0.0004260475,0.0007153447,0.0007033627,0.0003397463,0.000162198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009177187,0.0000757329,0.0000862484,0.00005305961,0.00002957928,0.00001358669,0.001183225,0.4468354,0.00009011177,0.07189964,0.00001117366,0.4797131],"study_design_scores_gemma":[0.0002096999,0.0001679423,0.000103045,0.0002723135,0.00002175938,0.00001346122,2.305246e-7,0.9966951,0.0004415457,0.0003529743,0.001281128,0.0004408045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006790945,0.0009027704,0.996199,0.0002199178,0.0007762402,0.0002083698,0.000002804777,0.0001604757,0.0008513352],"genre_scores_gemma":[0.9440156,0.00001783797,0.05520562,0.0002263779,0.0002111164,0.000004087906,0.00002211701,0.00002925073,0.0002679932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9433365,"threshold_uncertainty_score":0.9997923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878381936830232,"score_gpt":0.2366792336444649,"score_spread":0.2178954142761626,"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."}}