{"id":"W2094040396","doi":"10.1145/2046556.2046573","title":"Privacy-preserving traffic padding in web-based applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Padding; Computer science; Data publishing; Computer security; Encryption; Popularity; Network packet; Information privacy; Web traffic; The Internet; Computer network; World Wide Web; Publishing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420896,0.0001090485,0.0001405955,0.0001945558,0.00006842162,0.00008284912,0.001352432,0.00004883254,0.0002371298],"category_scores_gemma":[0.00002408398,0.00009616078,0.00008427105,0.0005518487,0.00001841133,0.0002495626,0.0002176737,0.0001306929,0.00008844757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003267079,"about_ca_system_score_gemma":0.00005050788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000204089,"about_ca_topic_score_gemma":0.0003015764,"domain_scores_codex":[0.9988863,0.00004582529,0.000283445,0.0003533048,0.0001632982,0.000267768],"domain_scores_gemma":[0.9993864,0.00006520968,0.00006515544,0.000375529,0.00004499551,0.00006274653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006179997,0.0004481793,0.001768871,0.00003265784,0.00003965556,0.00002652805,0.00579675,0.02796545,0.0002519458,0.9003226,0.001500618,0.06184062],"study_design_scores_gemma":[0.0001790493,0.0000136003,0.0003987846,0.00001656022,0.000003648041,0.00000123249,0.00007598247,0.9971938,0.0002157523,0.0000434312,0.001729989,0.0001282222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06991128,0.00003476865,0.9153293,0.000178781,0.00004495983,0.0001394788,2.8016e-7,0.0002467212,0.01411439],"genre_scores_gemma":[0.9389693,0.000001343027,0.06057776,0.0002043075,0.00002667232,0.00004015081,0.000001518286,0.000006773061,0.0001721945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9692283,"threshold_uncertainty_score":0.3921323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737287648768572,"score_gpt":0.2417324318784796,"score_spread":0.2143595553907939,"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."}}