{"id":"W2148679464","doi":"10.1109/cnsm.2010.5691210","title":"An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype","year":2010,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Mitacs; Dalhousie University","keywords":"Computer science; Payload (computing); Voice over IP; AdaBoost; Encryption; Identification (biology); Domain (mathematical analysis); Genetic programming; Machine learning; Traffic classification; Computer network; Artificial intelligence; Network packet; Deep packet inspection; The Internet; Support vector machine; World Wide Web","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":[0.0009234177,0.0004541457,0.0005395357,0.001272981,0.0006958555,0.0006334205,0.0006932654,0.001436337,0.0005979916],"category_scores_gemma":[0.002734535,0.0001216987,0.0003031719,0.001244997,0.000626464,0.0007298441,0.0004228687,0.0004783622,0.000231393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466709,"about_ca_system_score_gemma":0.0002951923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006728188,"about_ca_topic_score_gemma":0.007850744,"domain_scores_codex":[0.9992557,0.0002424955,0.00005021516,0.0001293244,0.0002148436,0.0001072993],"domain_scores_gemma":[0.9975069,0.001606557,0.0001818742,0.0002283181,0.0003326852,0.0001437156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002551356,0.005441807,0.3147225,0.00093698,0.0003947713,0.02913924,0.004132356,0.33096,0.06438924,0.005903989,0.009665087,0.2317627],"study_design_scores_gemma":[0.0001521414,0.001504908,0.1500146,0.00005494658,0.0001124259,0.005593111,0.005608414,0.7773232,0.05091916,0.002439847,0.006200546,0.00007676715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963641,0.00004496569,0.002297039,0.0001039162,0.000008850505,0.00003836302,0.0001522579,0.00006064302,0.0009299421],"genre_scores_gemma":[0.9956838,0.00005751626,0.003137345,0.00002325375,0.000009903183,0.0000131542,0.0002976522,0.00001007299,0.0007673844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006728188,"threshold_uncertainty_score":0.01337808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667131531447704,"score_gpt":0.2685331536786641,"score_spread":0.2418618383641871,"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."}}