{"id":"W3018073244","doi":"10.3390/s20082417","title":"Covert Timing Channel Analysis Either as Cyber Attacks or Confidential Applications","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Covert channel; Covert; Computer science; Communication source; Computer network; Network packet; Channel (broadcasting); Computer security; Transmission (telecommunications); Key (lock); Real-time computing; Telecommunications","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":[0.0001306361,0.000155091,0.0002888837,0.0001268883,0.0001350996,0.0001983566,0.000587611,0.00006769551,0.0004196866],"category_scores_gemma":[0.00003579658,0.0001276044,0.0002737042,0.001171489,0.00003499035,0.0001261216,0.0001355976,0.0001447302,0.0007361996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002095149,"about_ca_system_score_gemma":0.00003629583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006120736,"about_ca_topic_score_gemma":0.00009130586,"domain_scores_codex":[0.9985744,0.00005839143,0.0002930161,0.0005048996,0.0003071576,0.0002621737],"domain_scores_gemma":[0.9993007,0.00006974451,0.0001239346,0.0002508783,0.0001029581,0.0001518326],"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":[0.00009010748,0.0002561066,0.0005948474,0.00005682137,0.005728263,0.0002480046,0.02968111,0.6931787,0.0005675659,0.2445682,0.01031538,0.01471495],"study_design_scores_gemma":[0.0001351838,0.00003122376,0.00005970299,0.000004290479,0.0002421142,0.000007073549,0.0002888944,0.9867747,0.0002671439,0.000009989601,0.01199055,0.0001891019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07410005,0.00003432448,0.9194922,0.001921529,0.00008921664,0.0001599786,0.000004498685,0.0002014925,0.003996645],"genre_scores_gemma":[0.9943976,0.000005581388,0.001671365,0.001441312,0.0002305558,0.00001128919,0.0000101535,0.00001211886,0.00222006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9202975,"threshold_uncertainty_score":0.9462603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664982035012817,"score_gpt":0.2748025574096239,"score_spread":0.2481527370594957,"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."}}