{"id":"W2409612194","doi":"10.1145/2909827.2930800","title":"A Survey and Taxonomy Aimed at the Detection and Measurement of Covert Channels","year":2016,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Covert channel; Covert; Computer science; Channel (broadcasting); Viewpoints; Information hiding; Computer security; Computer network; Artificial intelligence; Embedding; 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":[0.0009962426,0.00005737499,0.00009244468,0.00002613057,0.00005832809,0.00003450679,0.0001246967,0.00001992772,0.00001626125],"category_scores_gemma":[0.00004983453,0.00002659577,0.00002317694,0.00006842972,0.00004101179,0.00009234741,0.000127562,0.00002070269,0.000003784142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002393541,"about_ca_system_score_gemma":0.000009502388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063277,"about_ca_topic_score_gemma":0.002020794,"domain_scores_codex":[0.9993596,0.00008560673,0.0001263086,0.0001659661,0.0001707889,0.00009172806],"domain_scores_gemma":[0.9996154,0.00009971039,0.00005870279,0.0001005827,0.00009743877,0.00002821048],"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":[0.00008285145,0.0001082876,0.01810568,0.00003842464,0.0004604326,0.000002997513,0.00174457,0.0001764668,0.02637318,0.03405257,0.002461949,0.9163926],"study_design_scores_gemma":[0.001515455,0.0003939519,0.07309461,0.00009798678,0.0000412016,0.00002854104,0.000103231,0.8505013,0.0616185,0.00004929,0.01208894,0.0004669652],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1786691,0.0001563882,0.8205473,0.0002224237,0.00007795168,0.00008428693,5.365131e-7,0.00001363801,0.0002283795],"genre_scores_gemma":[0.9994135,0.00001340888,0.0001399234,0.00005234843,0.00001355772,0.000006156642,7.589588e-8,0.000001726691,0.0003592912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9159256,"threshold_uncertainty_score":0.1127651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143526416607403,"score_gpt":0.2162427491935207,"score_spread":0.1748074850274467,"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."}}