{"id":"W2762162899","doi":"10.1109/ccnc.2017.8067722","title":"Time and place: robustness of a traffic analysis attack against web traffic","year":2017,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Robustness (evolution); Computer science; Encryption; Computer security; Web traffic; Link (geometry); Computer network; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000547795,0.0002118102,0.00056635,0.0002952749,0.0002899862,0.0003971633,0.001332201,0.0001015153,0.00009179425],"category_scores_gemma":[0.00005037379,0.0001729413,0.0003224484,0.0003880214,0.0001905071,0.0004447116,0.0002711117,0.0001367706,0.00002764613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993767,"about_ca_system_score_gemma":0.00005546945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001122409,"about_ca_topic_score_gemma":0.0003282127,"domain_scores_codex":[0.9983094,0.0000674658,0.0004318121,0.0005455037,0.000331472,0.0003143114],"domain_scores_gemma":[0.9986152,0.00008917112,0.0003393247,0.0007027307,0.0001279448,0.0001256196],"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":[0.000004601443,0.00005838468,0.000006150962,0.000009920471,0.0004139837,0.000007827472,0.0004281923,0.9895856,0.000005609215,0.0001770397,0.0006973742,0.008605307],"study_design_scores_gemma":[0.0003237704,0.00003830364,0.0001194944,0.00001846881,0.0002109881,0.000003770264,0.00006180062,0.9987722,0.000006650315,1.784709e-8,0.0002334285,0.0002110969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869897,0.00008213242,0.01172832,0.0003170692,0.00008945911,0.00008091279,0.000003427074,0.0001091375,0.0005997997],"genre_scores_gemma":[0.9944764,0.00002042579,0.003553436,0.00004665094,0.00005524702,0.000002495828,0.000005872112,0.000009231157,0.001830284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009186601,"threshold_uncertainty_score":0.7052342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625388871829715,"score_gpt":0.252299537832598,"score_spread":0.2360456491143008,"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."}}