{"id":"W3105087971","doi":"10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00026","title":"Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic","year":2020,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Domain Name System; Computer science; Computer security; Encryption; Computer network; Man-in-the-middle attack; Eavesdropping; Network packet; The Internet; Transport Layer Security; Hypertext Transfer Protocol; Covert channel; World Wide Web; Cloud computing security; Cloud computing; Operating system; Security information and event management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001410427,0.00007817494,0.0001865829,0.00006724145,0.00003287148,0.0000251641,0.0002865594,0.00004642394,0.00004954544],"category_scores_gemma":[0.00003888854,0.00006818306,0.00009528532,0.0004442065,0.00003678221,0.0002711226,0.00004630139,0.00005842836,0.00001245301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001376618,"about_ca_system_score_gemma":0.00002674593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006438943,"about_ca_topic_score_gemma":0.000007441321,"domain_scores_codex":[0.9991187,0.00004816947,0.0003487086,0.0002028507,0.0001826352,0.00009890504],"domain_scores_gemma":[0.9994894,0.0000301058,0.0001971891,0.000111486,0.0001320747,0.00003971336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003318928,0.00008393554,0.00003373926,0.00006783095,0.00009950162,0.000001770419,0.005179724,0.1158558,0.7866665,0.05718139,0.00006552487,0.03473106],"study_design_scores_gemma":[0.00007786131,0.00008304112,0.0001530894,0.000010432,0.00001400379,0.000001852362,0.0001484804,0.9454414,0.05395636,0.000003810311,0.0000455014,0.00006411696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4074528,0.0000136717,0.5921273,0.0001084705,0.00003292197,0.00003691407,3.73621e-7,0.00004928052,0.0001783053],"genre_scores_gemma":[0.9872136,0.000001700918,0.01267505,0.00003345888,0.00003233438,7.163291e-7,0.000001200022,0.000004248648,0.00003768145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295856,"threshold_uncertainty_score":0.2780424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846102960472317,"score_gpt":0.2361290249856536,"score_spread":0.2076679953809304,"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."}}